###Introduction #This code compiles summary information about the gene OAS1 (oligoadenylate synthetase 1). This gene encodes a protein that synthesizes soligoadenylates which activates RNase L resulting in viral RNA degradation and the inhibition of viral replication(NCBI).
###Resources / References Key information use to make this script can be found here:
Refseq Gene: https://www.ncbi.nlm.nih.gov/gene/4938 Refseq Homologene: https://www.ncbi.nlm.nih.gov/homologene?LinkName=gene_homologene&from_uid=4938
ALPHAFOLD: https://alphafold.ebi.ac.uk/entry/P00973
UniProt: https://www.uniprot.org/uniprot/P00973
Other resources consulted includes:
Neanderthal genome: http://neandertal.ensemblgenomes.org/index.html Other interesting resources and online tools include:
REPPER: https://toolkit.tuebingen.mpg.de/jobs/7803820 Sub-cellular locations prediction: https://wolfpsort.hgc.jp/
###Data Preparation
Accession numbers were obtained from RefSeq, Refseq Homlogene, UniProt and PDB. UniProt accession numbers can be found by searching for the gene name. PDB accessions can be found by searching with a UniProt accession or a gene name, though many proteins are not in PDB. The the Neanderthal genome database was searched but did not yield sequence information on.
A protein BLAST search #(https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastp&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome) was carried out excluding vertebrates to determine if it occurred outside of vertebreates. The gene does not appear in non-vertebrates and so a second search was conducted to exclude mammals.
# optional
# HGNChelper::checkGeneSymbols(x = c("OAS1"))
Not available: Neanderthal
Does not occur: Outside of vertebrates
NBCI.Protein.Accession<-c("NP_058132.2","NP_001077418.1","NP_001075958.1","XP_031299144.1", "NP_620268.2","NP_001025017.2","NP_999468.2", "NP_001041596.1", " XP_003952355.1","AYA44748.1")
UniProt.ID <-c("P00973","F7EI59","H9GZX8", "A0A5N4C9Z4", "Q05961", "A0A4W2IHE3","Q29599", "F1PLW6","H2R747", "H2NIQ7")
Scientific.Name <-c("Homo sapiens", "Macaca mulatta","Equus caballus","Camelus dromedarius", "Pan troglodytes","Rattus norvegicus","Pongo pygmaeus", "Bos taurus", "Sus scrofa","Canis familiaris")
Common.Name <-c("Human", "Rhesus Macaque", "Horse","Dromedary","Chimpanzee","Norwegian Rat", "Sumatran Orangutan", "Cattle", "Pig", "Dog")
Gene.Name <-c("OAS1")
PDB.ID <- c("N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A")
#Convert vector information into a table
OAS1_table <- data.frame(Scientific.Name = Scientific.Name, NBCI.Protein.Accession = NBCI.Protein.Accession, UniProt.ID = UniProt.ID, Common.Name = Common.Name , Gene.Name = Gene.Name)
NBCI.Protein.Accession
## [1] "NP_058132.2" "NP_001077418.1" "NP_001075958.1" "XP_031299144.1"
## [5] "NP_620268.2" "NP_001025017.2" "NP_999468.2" "NP_001041596.1"
## [9] " XP_003952355.1" "AYA44748.1"
UniProt.ID
## [1] "P00973" "F7EI59" "H9GZX8" "A0A5N4C9Z4" "Q05961"
## [6] "A0A4W2IHE3" "Q29599" "F1PLW6" "H2R747" "H2NIQ7"
Scientific.Name
## [1] "Homo sapiens" "Macaca mulatta" "Equus caballus"
## [4] "Camelus dromedarius" "Pan troglodytes" "Rattus norvegicus"
## [7] "Pongo pygmaeus" "Bos taurus" "Sus scrofa"
## [10] "Canis familiaris"
Common.Name
## [1] "Human" "Rhesus Macaque" "Horse"
## [4] "Dromedary" "Chimpanzee" "Norwegian Rat"
## [7] "Sumatran Orangutan" "Cattle" "Pig"
## [10] "Dog"
Gene.Name
## [1] "OAS1"
pander(OAS1_table)
| Scientific.Name | NBCI.Protein.Accession | UniProt.ID | Common.Name |
|---|---|---|---|
| Homo sapiens | NP_058132.2 | P00973 | Human |
| Macaca mulatta | NP_001077418.1 | F7EI59 | Rhesus Macaque |
| Equus caballus | NP_001075958.1 | H9GZX8 | Horse |
| Camelus dromedarius | XP_031299144.1 | A0A5N4C9Z4 | Dromedary |
| Pan troglodytes | NP_620268.2 | Q05961 | Chimpanzee |
| Rattus norvegicus | NP_001025017.2 | A0A4W2IHE3 | Norwegian Rat |
| Pongo pygmaeus | NP_999468.2 | Q29599 | Sumatran Orangutan |
| Bos taurus | NP_001041596.1 | F1PLW6 | Cattle |
| Sus scrofa | XP_003952355.1 | H2R747 | Pig |
| Canis familiaris | AYA44748.1 | H2NIQ7 | Dog |
| Gene.Name |
|---|
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
# Finished Table
pander::pander(OAS1_table)
| Scientific.Name | NBCI.Protein.Accession | UniProt.ID | Common.Name |
|---|---|---|---|
| Homo sapiens | NP_058132.2 | P00973 | Human |
| Macaca mulatta | NP_001077418.1 | F7EI59 | Rhesus Macaque |
| Equus caballus | NP_001075958.1 | H9GZX8 | Horse |
| Camelus dromedarius | XP_031299144.1 | A0A5N4C9Z4 | Dromedary |
| Pan troglodytes | NP_620268.2 | Q05961 | Chimpanzee |
| Rattus norvegicus | NP_001025017.2 | A0A4W2IHE3 | Norwegian Rat |
| Pongo pygmaeus | NP_999468.2 | Q29599 | Sumatran Orangutan |
| Bos taurus | NP_001041596.1 | F1PLW6 | Cattle |
| Sus scrofa | XP_003952355.1 | H2R747 | Pig |
| Canis familiaris | AYA44748.1 | H2NIQ7 | Dog |
| Gene.Name |
|---|
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
| OAS1 |
Download sequences
All sequences were downloaded using a wrapper compbio4all::entrez_fetch_list() which uses rentrez::entrez_fetch() to access NCBI databases.
# Downlaod Fasta Sequences
# Human (Homo sapiens)
HumanOAS1_FASTA <- rentrez::entrez_fetch(id = " NP_058132.2", db = "protein", rettype="fasta")
# Rhesus macaque (Macaca mulatta)
RhesusOAS1_FASTA <- entrez_fetch_list(db = "protein",
id = " NP_001077418.1",
rettype = "fasta")
# Dromedary (Camelus dromedary)
CamelOAS1_FASTA <- entrez_fetch_list(db = "protein",
id = " XP_031299144.1",
rettype = "fasta")
# Chimpanzee (Pan troglodytes)
ChimpOAS1_FASTA <- entrez_fetch_list(db = "protein",
id = "NP_620268.2",
rettype = "fasta")
# Norwegian Rat (Rattus norwegicus)
NorwayRatOAS1_FASTA <- entrez_fetch_list(db = "protein",
id = "NP_001025017.2",
rettype = "fasta")
# Sumatran Orangutan (P. troglodytes)
OrangutanOAS1_FASTA <- entrez_fetch_list(db = "protein",
id = "XP_016809250",
rettype = "fasta")
# Horse (Equus caballus)
HorseOAS1_FASTA <- entrez_fetch_list(db = "protein",
id = "NP_001075958.1",
rettype = "fasta")
# Cattle (Bos taurus)
CattleOAS1_FASTA <- entrez_fetch_list(db = "protein",
id = "NP_001041596.1",
rettype = "fasta")
# Pig (Sus scrofa)
PigOAS1_FASTA <- entrez_fetch_list(db = "protein",
id = "XP_003952355.1",
rettype = "fasta")
# Dog (Canis familiaris)
CanisOAS1_FASTA <- entrez_fetch_list(db = "protein",
id = "AYA44748.1",
rettype = "fasta")
OAS1s_list <- c(HumanOAS1_FASTA, RhesusOAS1_FASTA, CamelOAS1_FASTA, ChimpOAS1_FASTA, NorwayRatOAS1_FASTA, OrangutanOAS1_FASTA, HorseOAS1_FASTA, CattleOAS1_FASTA, PigOAS1_FASTA, CanisOAS1_FASTA)
#The first entry
OAS1s_list [[1]]
## [1] ">NP_058132.2 2'-5'-oligoadenylate synthase 1 isoform 1 [Homo sapiens]\nMMDLRNTPAKSLDKFIEDYLLPDTCFRMQINHAIDIICGFLKERCFRGSSYPVCVSKVVKGGSSGKGTTL\nRGRSDADLVVFLSPLTTFQDQLNRRGEFIQEIRRQLEACQRERAFSVKFEVQAPRWGNPRALSFVLSSLQ\nLGEGVEFDVLPAFDALGQLTGGYKPNPQIYVKLIEECTDLQKEGEFSTCFTELQRDFLKQRPTKLKSLIR\nLVKHWYQNCKKKLGKLPPQYALELLTVYAWERGSMKTHFNTAQGFRTVLELVINYQQLCIYWTKYYDFKN\nPIIEKYLRRQLTKPRPVILDPADPTGNLGGGDPKGWRQLAQEAEAWLNYPCFKNWDGSPVSSWILLAESN\nSADDETDDPRRYQKYGYIGTHEYPHFSHRPSTLQAASTPQAEEDWTCTIL\n\n"
# Cleaning for Later
HumanOAS1_string <- fasta_cleaner(HumanOAS1_FASTA, parse = F)
RhesesOAS1_string <- fasta_cleaner(RhesusOAS1_FASTA,
parse = F)
HorseOAS1_string <- fasta_cleaner(HorseOAS1_FASTA,
parse = F)
NorwayRatOAS1_string <- fasta_cleaner(NorwayRatOAS1_FASTA,
parse = F)
CanisOAS1_string <- fasta_cleaner(CanisOAS1_FASTA,
parse = F)
PigOAS1_string <- fasta_cleaner(PigOAS1_FASTA,
parse = F)
CattleOAS1_string <- fasta_cleaner(CattleOAS1_FASTA,
parse = F)
OrangutanOAS1_string <- fasta_cleaner(OrangutanOAS1_FASTA,
parse = F)
CamelOAS1_string <- fasta_cleaner(CamelOAS1_FASTA,
parse = F)
ChimpOAS1_string <- fasta_cleaner(ChimpOAS1_FASTA,
parse = F)
Remove FASTA header
for(i in 1:length(OAS1s_list)){
OAS1s_list[[i]] <- compbio4all::fasta_cleaner(OAS1s_list[[i]], parse = F)
}
OAS1s_list
## [[1]]
## [1] "MMDLRNTPAKSLDKFIEDYLLPDTCFRMQINHAIDIICGFLKERCFRGSSYPVCVSKVVKGGSSGKGTTLRGRSDADLVVFLSPLTTFQDQLNRRGEFIQEIRRQLEACQRERAFSVKFEVQAPRWGNPRALSFVLSSLQLGEGVEFDVLPAFDALGQLTGGYKPNPQIYVKLIEECTDLQKEGEFSTCFTELQRDFLKQRPTKLKSLIRLVKHWYQNCKKKLGKLPPQYALELLTVYAWERGSMKTHFNTAQGFRTVLELVINYQQLCIYWTKYYDFKNPIIEKYLRRQLTKPRPVILDPADPTGNLGGGDPKGWRQLAQEAEAWLNYPCFKNWDGSPVSSWILLAESNSADDETDDPRRYQKYGYIGTHEYPHFSHRPSTLQAASTPQAEEDWTCTIL"
##
## $` NP_001077418.1`
## [1] "MMDLITTPAKSLDKFIEDYLLPDTHFRMQINHAIDIICGFLKERCFRGSSYTVRVSKVVKGGSSGKGTSLRGRSDADLVVFLSPLTTFQDQLNRRGEFIREIRKQLEACQRERAFSVKFEVQAPRRDNPRALSFVLSSPQLGEGVEFDVLPAFDALGQLTGGYKPDPQIYVELIEECVSLQKEGEFSTCFTELQRNFLKQRPTKLKSLIRLVKHWYQNCKKKLGKLPPQYALELLTVYAWERGSTETDFNTARGFRTVLELVINYQQLCVYWTKYYDFQNPIIGKYLSRQLRKPRPVILDPADPTGNLGGGDTKGWRQLAQEAEAWLNYPCFKNWDGSPVSSWILLAESDSEDDESYDPRMYQQHGYIQTYECPHFSHSPSILQAASTPQAEENWTCTIL"
##
## $` XP_031299144.1`
## [1] "MALRDTRANQLDKFIEDNLLPDTPFRTQVREAVDIICTFLKERCFRGAAHPVRVSKVVKGGSSGKGTTLRGRSDADLVVFLTNLKSFQEQLLHRGEFIQEITRQLEACQREKRFKVKFEIHNSSRANPRALSFMLTSPQLDQGVEFDVLPAFDALGQLTRGYRPDPKVYIQLIEECESLGKEGEFSPCFTELQRAFLRDRPTKLKSLIRLVKHWYQECKRRNGKEGALPPQYALELLTVYAWERGSGSPEFNTAQGFRTVLELVRKHQDLCIYWENYYSLENPIIGRYLKKQLGKPRPVILDPADPTGNVAGRDPGSWWLLAQEAATWLRYPCLTECNGSPVSTWEVQEALPARSACTGSPARSIVMALRDTRANQLDKFIEDNLLPDTPFRTQVREAVDIICTFLKERCFRGAAHPVRVSKVVKGGSSGKGTTLRGRSDADLVVFLTNLKSFQEQLCRRGEFIQEITRQLEACHREKKFKVMFKIHNSSYANPRALSFALTSPQLDQGVEFDVLPAFDALGQLTRGYRPDPKVYIQLIEECESLGKEGEFSPCFTELQRAFLRDRPTKLKSLIRLVKHWYQECKQQLGKPLPPQYALELLTVYAWEQGSRKTEFNTAQGFRTVLELVRKHQDLCIYWENYYSLENPIIGRYLKKQLRKPRPVILDPADPTGNIGGGDPRSWQRLAEEATAWLSYPCLKKWDGSPVDSWHVPPRKDSYWTHEACDDCQHWEFSPRPITLQGGRPPLEEENWSCVIL"
##
## $NP_620268.2
## [1] "MEQELRSTPSWKLDKFIEVYLLPNTSFRDDVKSAINVLCDFLKERCFRDTVHPVRVSKVVKGGSSGKGTTLKGKSDADLVVFLNNFTSFEDQLNRRGEFIKEIKKQLYEVQREKHFRVKFEVQSSWWPNPRALSFKLSAPHLQQEVEFDVLPAYDVLGHVSLYSNPDPKIYTILISECISLGKEGEFSTCFTELQRNFLKQRPTKLKSLIRLVKHWYQLCKEKLGKPLPPQYALELLTVYAWERGNGITEFNTAQGFRTILELVTKYQQLRIYWTKYYDFQHPDVSKYLHRQLRKSRPVILDPADPTGNVAGGNQEGWRRLASEARLWLQYPCFMNRGGSPVSSWEVPVDEAWSCILL"
##
## $NP_001025017.2
## [1] "MKKLRKTQANKLDKFIKDHLLPHEEFQRQVNEAIDIICTFLKETCFQESTHPVRVSKVVKGGSSGKGTTLKDLSDADLVVFLTNLTSFQENFEHRVRFIKEIRRQLEAYQRQKTFEVEFEVLKQRKRKRRALSFVLRSPWFCQGVKFDVLPAFDALAKYSQSQAQVTEDYKPNPQIYVQLIQECENLRREGEFSPCFTELQRAFLKERPAKLKSLIRLVKHWYQQCKKRHGKKLPSQYALELLTIYAWEQEGSKTKFRTAEGFRTVLELVLKHQDLCIYWKKYYDFENPIITQCLKRQLEKPRPVILDPADPTGNVAGREPQRWQLLAQEVTVWLKYSCCKNRNGSPVSPWNVPVTPPHYLSDLILMAC"
##
## $XP_016809250
## [1] "MRDYDEVTAFLGEWGPFQRLIFFLLSASIIPNGFTGLSSVFLIATPEHRCRVPDAANLSSAWRNHTVPLRLRDGREVPHSCRRYRLATIANFSALGLEPGRDVDLGQLEQESCLDGWEFSQDVYLSTIVTEQDSGAYNAMKNRMGRKPALCLPAQWNLVCEDDWKAPLTISLFFVGVLLGSFISGQLSDRFGRKNVLFVTMGMQTGFSFLQIFSKNFEMFVVLFVLVGMGQISNYVAAFVLGTEILGKSVRIIFSTLGVCIFYAFGYMVLPLFAYFIRDWRMLLVALTMPGVLCVALWWFIPESPRWLISQGRFEEAEVIIRKAAKANGIVVPSTIFDPSELQDLSSKKQQSHNILDLLRTWNIRMVTIMSVMLWMTISVGYFGLSLDTPNLHGDIFVNCFLSAMVEVPAYVLAWLLLQYLPRRYSMATALFLGGSVLLFVQLVPPDLYYLATVLVMVGKFGVTAAFSMVYVYTAELYPTVVRNMGVGVSSTASRLGSILSPYFVYLGAYDRFLPYILMGSLTILTAILTLFLPESFGTPLPDTIDQMLRVKGMKHRKTPSHTRMLKDGQERPTILKSTAF"
##
## $NP_001075958.1
## [1] "MELQKTPARNLDKFIEDYLLPDTRFRRQVREAIDIICSFLKERCFRGAVPPVRVSKVVKGGSSGKGTTLRGRSDADLVVFLDYLTSFREQFERRAEFIKEIRRQLEACQREKRFDVEFEVQGQQWARPRALSFVLTSPQLNEGVEFDVLPAFDVLGQVTTSYRPDPDIYVLLIKECQSLGKEGEFSPCFTELQRAFLRQRPTKLKSLIRLVKHWYQKCKDKLGKPLPAQYALELLTVYAWEQGSRQTEFNTAQGFRTVLELVLKYQQLCIYWTKYYNFDDPVIGQYLKRQLKKPRPVILDPADPTGNVGGGDPRSWPRLAQEARAWLSYPCFKNWDGSPVGSWDVGPEEDSEDDTLTWAERAYYQCDHGRRPEFPQTGSTPQRASAPDAEENWTCTIL"
##
## $NP_001041596.1
## [1] "MPELKDTPAKDLDRFIENYLLPDTQFRRQVKEAIHIISTFLKERCFQGAAHPVRVSKVVKGGSSGKGTTLRGRSDADLVVFLNNLKSFQEQLEKRGQFIWEIKRQLEACQREETFEVYFEVQSLQWEKPRALSFVLKSPQLGEGVEFDVLPAFDVLGQWTNNHRPNPEVYIKLIQECENRGTEGEFSTCFTELQRDFLRQRPTKVKSLIRLVKHWYQKCKQKLGKPLPPQYALELLTVYAWERGNHQTEFITAQGFQTVLKLVLNYQQLCIHWTKYYNFETPIIKQYLMRQLAKPRPVILDPADPTGNVAGRDTYGWQRLAQEARVWLSYPCFKKWDGSPVGSWDVLVKPASSLM"
##
## $XP_003952355.1
## [1] "MMDLRNTPAKSLDKFIEDYLLPDKCFRKQINHAIDIICGFLKERCFQGSSYPVHVSKVVKGGSSGKGTTLRGRSDADLVVFLSPLTTFQDQLNRRGEFIQEIRRQLEACQREERAFSVKFEVQAPRWDNPRALSFVLSSLQLGEGVEFDVLPAFDALGQLTDGYKPDPQIYVKLIEECTYLQKEGEFSTCFTELQRDFLKQRPTKLKSLIRLVKHWYQNCKKKLGKLPPQYALELLTVYAWEQGSMETDFNTAQEFRTVLELVINYQQLCIYWTKYYDFENPIIEKYLRRQLTKPRPVILDPADPTGNLGGGDPKGWRQLAQEAEAWLNYPCFKNXDGSPVSSWILLAESDSADDETDDPRRYQKYGYIGTHEYPHFSHRPSTLQAASTPQAEEDWTCTIL"
##
## $AYA44748.1
## [1] "MMDLRNTPAKSLDKFIEDYLLPDTHFRMQINHAIDTICGFLKERCFRGSSYPVRVSKVVKGGSSGKGTALRGRSDADLVVFLSPLTTFQDQLNRRGEFIQEIRKQLEACQRERAFSVKFEVQAPRWDNPRALSFVLSSFQLREGVEFDVLPAFDALGQLTGGYKPDPQIYVKLIEECTDLQKEGEFSTCFTELQRDFLKQRPTKLKSLIRLVKHWYQNCKKKLGKLPPQYALELLTVYAWERGSMKTHFNTAQGFRTVLELVINYQQLCIYWTKYYDFENPIIKKYLSRQLRKPRPVILDPADPTGNLGGGDPIGWRQLAQEAEAWLNYPCFKNWDGSPVSSWILLAESDSEDDETYDPRMYPKYGYIRTHEYSHFSHSPSTLQAASTPQAEENWTCTIL"
### General Protein Information
key domains and other features using "drawProteins" package
For code see https://rpubs.com/lowbrowR/drawProtein
```r
P00973_Human <-drawProteins::get_features("P00973")
## [1] "Download has worked"
protein_human_df<-drawProteins::feature_to_dataframe(P00973_Human)
protein_human_df
## type
## featuresTemp CHAIN
## featuresTemp.1 REGION
## featuresTemp.2 REGION
## featuresTemp.3 METAL
## featuresTemp.4 METAL
## featuresTemp.5 METAL
## featuresTemp.6 BINDING
## featuresTemp.7 BINDING
## featuresTemp.8 BINDING
## featuresTemp.9 BINDING
## featuresTemp.10 SITE
## featuresTemp.11 VAR_SEQ
## featuresTemp.12 VAR_SEQ
## featuresTemp.13 VAR_SEQ
## featuresTemp.14 VAR_SEQ
## featuresTemp.15 VAR_SEQ
## featuresTemp.16 VARIANT
## featuresTemp.17 VARIANT
## featuresTemp.18 VARIANT
## featuresTemp.19 VARIANT
## featuresTemp.20 VARIANT
## featuresTemp.21 VARIANT
## featuresTemp.22 MUTAGEN
## featuresTemp.23 MUTAGEN
## featuresTemp.24 MUTAGEN
## featuresTemp.25 MUTAGEN
## featuresTemp.26 MUTAGEN
## featuresTemp.27 MUTAGEN
## featuresTemp.28 MUTAGEN
## featuresTemp.29 MUTAGEN
## featuresTemp.30 CONFLICT
## featuresTemp.31 CONFLICT
## featuresTemp.32 CONFLICT
## featuresTemp.33 CONFLICT
## featuresTemp.34 CONFLICT
## featuresTemp.35 CONFLICT
## featuresTemp.36 CONFLICT
## featuresTemp.37 CONFLICT
## featuresTemp.38 CONFLICT
## featuresTemp.39 TURN
## featuresTemp.40 HELIX
## featuresTemp.41 HELIX
## featuresTemp.42 HELIX
## featuresTemp.43 TURN
## featuresTemp.44 STRAND
## featuresTemp.45 HELIX
## featuresTemp.46 TURN
## featuresTemp.47 STRAND
## featuresTemp.48 HELIX
## featuresTemp.49 TURN
## featuresTemp.50 STRAND
## featuresTemp.51 STRAND
## featuresTemp.52 TURN
## featuresTemp.53 STRAND
## featuresTemp.54 STRAND
## featuresTemp.55 HELIX
## featuresTemp.56 TURN
## featuresTemp.57 HELIX
## featuresTemp.58 HELIX
## featuresTemp.59 TURN
## featuresTemp.60 HELIX
## featuresTemp.61 HELIX
## featuresTemp.62 HELIX
## featuresTemp.63 HELIX
## featuresTemp.64 STRAND
## featuresTemp.65 HELIX
## featuresTemp.66 STRAND
## featuresTemp.67 STRAND
## featuresTemp.68 STRAND
## featuresTemp.69 HELIX
## featuresTemp.70 HELIX
## featuresTemp.71 CONFLICT
## description begin
## featuresTemp 2'-5'-oligoadenylate synthase 1 1
## featuresTemp.1 Interaction with dsRNA 13
## featuresTemp.2 Interaction with dsRNA 200
## featuresTemp.3 Magnesium; catalytic 75
## featuresTemp.4 Magnesium; catalytic 77
## featuresTemp.5 Magnesium; catalytic 148
## featuresTemp.6 ATP 63
## featuresTemp.7 ATP 210
## featuresTemp.8 ATP 213
## featuresTemp.9 ATP 229
## featuresTemp.10 Interaction with dsRNA 158
## featuresTemp.11 NONE 347
## featuresTemp.12 NONE 347
## featuresTemp.13 NONE 347
## featuresTemp.14 NONE 361
## featuresTemp.15 NONE 365
## featuresTemp.16 in dbSNP:rs1050994 31
## featuresTemp.17 in dbSNP:rs4767022 127
## featuresTemp.18 in dbSNP:rs1131454 162
## featuresTemp.19 in dbSNP:rs1131476 352
## featuresTemp.20 in dbSNP:rs35919998 354
## featuresTemp.21 in dbSNP:rs1051042 361
## featuresTemp.22 Decreased enzyme activity. 66
## featuresTemp.23 Loss of activity; when associated with A-77. 75
## featuresTemp.24 Loss of activity; when associated with A-75. 77
## featuresTemp.25 Strongly reduced enzyme activity. 148
## featuresTemp.26 Loss of enzyme activity. 233
## featuresTemp.27 Loss of activity; when associated with A-332 and A-333. 331
## featuresTemp.28 Loss of activity; when associated with A-331 and A-333. 332
## featuresTemp.29 Loss of activity; when associated with A-331 and A-332. 333
## featuresTemp.30 in Ref. 4; AAA39857 18
## featuresTemp.31 in Ref. 12; AAH71981 111
## featuresTemp.32 in Ref. 1; AAB59552/AAB59553/CAA26633 115
## featuresTemp.33 in Ref. 10; BAD96726 120
## featuresTemp.34 in Ref. 4; AAA39858 122
## featuresTemp.35 in Ref. 4; AAA39857 157
## featuresTemp.36 in Ref. 4; AAA39858 176
## featuresTemp.37 in Ref. 2; CAB51602 295
## featuresTemp.38 in Ref. 2; CAB51602 315
## featuresTemp.39 NONE 4
## featuresTemp.40 NONE 9
## featuresTemp.41 NONE 12
## featuresTemp.42 NONE 24
## featuresTemp.43 NONE 44
## featuresTemp.44 NONE 55
## featuresTemp.45 NONE 62
## featuresTemp.46 NONE 71
## featuresTemp.47 NONE 76
## featuresTemp.48 NONE 88
## featuresTemp.49 NONE 112
## featuresTemp.50 NONE 116
## featuresTemp.51 NONE 132
## featuresTemp.52 NONE 139
## featuresTemp.53 NONE 145
## featuresTemp.54 NONE 161
## featuresTemp.55 NONE 167
## featuresTemp.56 NONE 183
## featuresTemp.57 NONE 187
## featuresTemp.58 NONE 191
## featuresTemp.59 NONE 196
## featuresTemp.60 NONE 203
## featuresTemp.61 NONE 229
## featuresTemp.62 NONE 251
## featuresTemp.63 NONE 265
## featuresTemp.64 NONE 278
## featuresTemp.65 NONE 281
## featuresTemp.66 NONE 293
## featuresTemp.67 NONE 297
## featuresTemp.68 NONE 303
## featuresTemp.69 NONE 313
## featuresTemp.70 NONE 330
## featuresTemp.71 in Ref. 4; AAA39858, 6; AAW63050 and 16; CAA26497 397
## end length accession entryName taxid order
## featuresTemp 400 399 P00973 OAS1_HUMAN 9606 1
## featuresTemp.1 60 47 P00973 OAS1_HUMAN 9606 1
## featuresTemp.2 210 10 P00973 OAS1_HUMAN 9606 1
## featuresTemp.3 75 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.4 77 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.5 148 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.6 63 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.7 210 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.8 213 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.9 229 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.10 158 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.11 400 53 P00973 OAS1_HUMAN 9606 1
## featuresTemp.12 364 17 P00973 OAS1_HUMAN 9606 1
## featuresTemp.13 360 13 P00973 OAS1_HUMAN 9606 1
## featuresTemp.14 400 39 P00973 OAS1_HUMAN 9606 1
## featuresTemp.15 400 35 P00973 OAS1_HUMAN 9606 1
## featuresTemp.16 31 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.17 127 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.18 162 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.19 352 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.20 354 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.21 361 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.22 66 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.23 75 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.24 77 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.25 148 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.26 233 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.27 331 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.28 332 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.29 333 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.30 18 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.31 111 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.32 115 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.33 120 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.34 122 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.35 157 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.36 176 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.37 295 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.38 315 0 P00973 OAS1_HUMAN 9606 1
## featuresTemp.39 6 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.40 11 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.41 19 7 P00973 OAS1_HUMAN 9606 1
## featuresTemp.42 43 19 P00973 OAS1_HUMAN 9606 1
## featuresTemp.43 46 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.44 61 6 P00973 OAS1_HUMAN 9606 1
## featuresTemp.45 66 4 P00973 OAS1_HUMAN 9606 1
## featuresTemp.46 73 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.47 84 8 P00973 OAS1_HUMAN 9606 1
## featuresTemp.48 111 23 P00973 OAS1_HUMAN 9606 1
## featuresTemp.49 114 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.50 118 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.51 137 5 P00973 OAS1_HUMAN 9606 1
## featuresTemp.52 141 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.53 152 7 P00973 OAS1_HUMAN 9606 1
## featuresTemp.54 163 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.55 179 12 P00973 OAS1_HUMAN 9606 1
## featuresTemp.56 186 3 P00973 OAS1_HUMAN 9606 1
## featuresTemp.57 190 3 P00973 OAS1_HUMAN 9606 1
## featuresTemp.58 195 4 P00973 OAS1_HUMAN 9606 1
## featuresTemp.59 200 4 P00973 OAS1_HUMAN 9606 1
## featuresTemp.60 223 20 P00973 OAS1_HUMAN 9606 1
## featuresTemp.61 243 14 P00973 OAS1_HUMAN 9606 1
## featuresTemp.62 263 12 P00973 OAS1_HUMAN 9606 1
## featuresTemp.63 267 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.64 280 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.65 290 9 P00973 OAS1_HUMAN 9606 1
## featuresTemp.66 295 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.67 300 3 P00973 OAS1_HUMAN 9606 1
## featuresTemp.68 308 5 P00973 OAS1_HUMAN 9606 1
## featuresTemp.69 326 13 P00973 OAS1_HUMAN 9606 1
## featuresTemp.70 332 2 P00973 OAS1_HUMAN 9606 1
## featuresTemp.71 397 0 P00973 OAS1_HUMAN 9606 1
protein_human_df <- drawProteins::feature_to_dataframe(P00973_Human)
my_canvasHuman <- draw_canvas(protein_human_df)
my_canvasHuman <- draw_chains(my_canvasHuman, protein_human_df,
label_size = 2.5)
my_canvasHuman<- draw_domains(my_canvasHuman, protein_human_df)
my_canvasHuman <- draw_recept_dom(my_canvasHuman, protein_human_df)
my_canvasHuman <- draw_regions(my_canvasHuman, protein_human_df)
my_canvasHuman <- draw_motif(my_canvasHuman, protein_human_df)
my_canvasHuman<- draw_phospho(my_canvasHuman, protein_human_df)
my_canvasHuman <- draw_repeat(my_canvasHuman, protein_human_df)
my_canvasHuman <- draw_folding(my_canvasHuman,protein_human_df)
my_canvasHuman
P00973_FASTA <- rentrez::entrez_fetch(id = "P00973", db = "protein", rettype = "fasta")
P00973_Vector <- fasta_cleaner(P00973_FASTA, parse = T)
par(mfrow = c(2,2),
mar = c(0,0,2,1))
#plot 1
dotPlot(P00973_Vector, P00973_Vector,
wsize = 1,
nmatch = 1,
main = "wsize=1,nmatch=1")
#plot 2
dotPlot(P00973_Vector, P00973_Vector,
wsize = 10,
nmatch = 1,
main = "wsize=10, nmatch=1")
#plot 3
dotPlot(P00973_Vector, P00973_Vector,
wsize =10,
nmatch = 5,
main = "wsize=10, nmatch=5",)
#plot4
dotPlot(P00973_Vector, P00973_Vector,
wsize = 20,
nmatch = 5,
main = "wsize=20, nmatch=5")
# Ideal Box Plot Settings
#Create a single large plot with the best version of the plot
dotPlot(P00973_Vector, P00973_Vector,
wsize = 18,
nmatch = 3,
main = "Ideal dotPlot Settings")
Protein_Databases <- c("Pfam", "DisProt", "RepeatsDB", "UniProt sub-cellular locations", "PDB secondary structure location")
Protein_Properties <- c("OAS1 protein in humans has two named domains, OAC1_C, and NTP_transf_2.", "NA", "NA", "intracellular protein found in the nucleus, ER, cytosol, and mitochondria", "Alpha helices and beta sheets")
URL_of_Entry <- c("http://pfam.xfam.org/protein/P00973", "NA", "NA", "https://www.uniprot.org/uniprot/P00973#subcellular_location", "http://www.cathdb.info/version/latest/superfamily/1.10.1410.20/classification")
Protein_Props_Table<- data.frame(Protein_Databases, Protein_Properties, URL_of_Entry)
pander::pander(Protein_Props_Table)
| Protein_Databases | Protein_Properties |
|---|---|
| Pfam | OAS1 protein in humans has two named domains, OAC1_C, and NTP_transf_2. |
| DisProt | NA |
| RepeatsDB | NA |
| UniProt sub-cellular locations | intracellular protein found in the nucleus, ER, cytosol, and mitochondria |
| PDB secondary structure location | Alpha helices and beta sheets |
| URL_of_Entry |
|---|
| http://pfam.xfam.org/protein/P00973 |
| NA |
| NA |
| https://www.uniprot.org/uniprot/P00973#subcellular_location |
| http://www.cathdb.info/version/latest/superfamily/1.10.1410.20/classification |
Multivariate statistcal techniques were used to confirm the information about protein structure and location in the line database.
Uniprot (which uses http://www.csbio.sjtu.edu.cn/bioinf/Cell-PLoc-2/ I believe) indicates that the protein is a membrane-bound protein, particularlly in the ER.
# enter once, then again
aa.1.1 <- c("A","R","N","D","C","Q","E","G","H","I",
"L","K","M","F","P","S","T","W","Y","V")
aa.1.2 <- c("A","R","N","D","C","Q","E","G","H","I",
"L","K","M","F","P","S","T","W","Y","V")
Make vectors with the frequency of each amino acid in the databse of proteins of each type used by Chou. Chou’s table lists totals so I do logical checks again the total he gives and the total in my vector.
# alpha proteins
alpha <- c(285, 53, 97, 163, 22, 67, 134, 197, 111, 91,
221, 249, 48, 123, 82, 122, 119, 33, 63, 167)
# check against chou's total
sum(alpha) == 2447
## [1] TRUE
# beta proteins
beta <- c(203, 67, 139, 121, 75, 122, 86, 297, 49, 120,
177, 115, 16, 85, 127, 341, 253, 44, 110, 229)
# check against chou's total
sum(beta) == 2776
## [1] TRUE
# alpha + beta
a.plus.b <- c(175, 78, 120, 111, 74, 74, 86, 171, 33, 93,
110, 112, 25, 52, 71, 126, 117, 30, 108, 123)
sum(a.plus.b) == 1889
## [1] TRUE
# alpha/beta
a.div.b <- c(361, 146, 183, 244, 63, 114, 257, 377, 107, 239,
339, 321, 91, 158, 188, 327, 238, 72, 130, 378)
sum(a.div.b) == 4333
## [1] TRUE
data.frame(aa.1.1, alpha, beta, a.plus.b, a.div.b)
## aa.1.1 alpha beta a.plus.b a.div.b
## 1 A 285 203 175 361
## 2 R 53 67 78 146
## 3 N 97 139 120 183
## 4 D 163 121 111 244
## 5 C 22 75 74 63
## 6 Q 67 122 74 114
## 7 E 134 86 86 257
## 8 G 197 297 171 377
## 9 H 111 49 33 107
## 10 I 91 120 93 239
## 11 L 221 177 110 339
## 12 K 249 115 112 321
## 13 M 48 16 25 91
## 14 F 123 85 52 158
## 15 P 82 127 71 188
## 16 S 122 341 126 327
## 17 T 119 253 117 238
## 18 W 33 44 30 72
## 19 Y 63 110 108 130
## 20 V 167 229 123 378
pander(data.frame(aa.1.1, alpha, beta, a.plus.b, a.div.b))
| aa.1.1 | alpha | beta | a.plus.b | a.div.b |
|---|---|---|---|---|
| A | 285 | 203 | 175 | 361 |
| R | 53 | 67 | 78 | 146 |
| N | 97 | 139 | 120 | 183 |
| D | 163 | 121 | 111 | 244 |
| C | 22 | 75 | 74 | 63 |
| Q | 67 | 122 | 74 | 114 |
| E | 134 | 86 | 86 | 257 |
| G | 197 | 297 | 171 | 377 |
| H | 111 | 49 | 33 | 107 |
| I | 91 | 120 | 93 | 239 |
| L | 221 | 177 | 110 | 339 |
| K | 249 | 115 | 112 | 321 |
| M | 48 | 16 | 25 | 91 |
| F | 123 | 85 | 52 | 158 |
| P | 82 | 127 | 71 | 188 |
| S | 122 | 341 | 126 | 327 |
| T | 119 | 253 | 117 | 238 |
| W | 33 | 44 | 30 | 72 |
| Y | 63 | 110 | 108 | 130 |
| V | 167 | 229 | 123 | 378 |
alpha.prop <- alpha/sum(alpha)
beta.prop <- beta/sum(beta)
a.plus.b.prop <- a.plus.b/sum(a.plus.b)
a.div.b <- a.div.b/sum(a.div.b)
#dataframe
aa.prop <- data.frame(alpha.prop,
beta.prop,
a.plus.b.prop,
a.div.b)
#row labels
row.names(aa.prop) <- aa.1.1
pander(aa.prop)
| Â | alpha.prop | beta.prop | a.plus.b.prop | a.div.b |
|---|---|---|---|---|
| A | 0.1165 | 0.07313 | 0.09264 | 0.08331 |
| R | 0.02166 | 0.02414 | 0.04129 | 0.03369 |
| N | 0.03964 | 0.05007 | 0.06353 | 0.04223 |
| D | 0.06661 | 0.04359 | 0.05876 | 0.05631 |
| C | 0.008991 | 0.02702 | 0.03917 | 0.01454 |
| Q | 0.02738 | 0.04395 | 0.03917 | 0.02631 |
| E | 0.05476 | 0.03098 | 0.04553 | 0.05931 |
| G | 0.08051 | 0.107 | 0.09052 | 0.08701 |
| H | 0.04536 | 0.01765 | 0.01747 | 0.02469 |
| I | 0.03719 | 0.04323 | 0.04923 | 0.05516 |
| L | 0.09031 | 0.06376 | 0.05823 | 0.07824 |
| K | 0.1018 | 0.04143 | 0.05929 | 0.07408 |
| M | 0.01962 | 0.005764 | 0.01323 | 0.021 |
| F | 0.05027 | 0.03062 | 0.02753 | 0.03646 |
| P | 0.03351 | 0.04575 | 0.03759 | 0.04339 |
| S | 0.04986 | 0.1228 | 0.0667 | 0.07547 |
| T | 0.04863 | 0.09114 | 0.06194 | 0.05493 |
| W | 0.01349 | 0.01585 | 0.01588 | 0.01662 |
| Y | 0.02575 | 0.03963 | 0.05717 | 0.03 |
| V | 0.06825 | 0.08249 | 0.06511 | 0.08724 |
# Function to convert a table into a vector
table_to_vector <- function(table_x){
table_names <- attr(table_x, "dimnames")[[1]]
table_vect <- as.vector(table_x)
names(table_vect) <- table_names
return(table_vect)
}
#Fetch
NP_058132.2 <- rentrez::entrez_fetch(id = "NP_058132.2", db = "protein", rettype = "fasta")
# clean
NP_058132.2_clean <- compbio4all::fasta_cleaner(NP_058132.2, parse = T)
OAS1_human_freq_table <- table(NP_058132.2_clean)/length(NP_058132.2_clean)
OAS1_human_freq_table
## NP_058132.2_clean
## A C D E F G H I K L M
## 0.0525 0.0275 0.0550 0.0625 0.0500 0.0650 0.0150 0.0450 0.0650 0.1075 0.0100
## N P Q R S T V W Y
## 0.0325 0.0600 0.0600 0.0650 0.0575 0.0600 0.0450 0.0225 0.0425
#Convert table into a vector
OAS1_human_aa_freq_vector <- table_to_vector(OAS1_human_freq_table)
pander::pander(OAS1_human_aa_freq_vector)
| A | C | D | E | F | G | H | I | K |
|---|---|---|---|---|---|---|---|---|
| 0.0525 | 0.0275 | 0.055 | 0.0625 | 0.05 | 0.065 | 0.015 | 0.045 | 0.065 |
| L | M | N | P | Q | R | S | T | V | W | Y |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.1075 | 0.01 | 0.0325 | 0.06 | 0.06 | 0.065 | 0.0575 | 0.06 | 0.045 | 0.0225 | 0.0425 |
#Check for presence of U, an unknown amino acid
# none
aa.names <- names(OAS1_human_aa_freq_vector)
any(aa.names == "U")
## [1] FALSE
#Adding my gene to the table
aa.prop$OAS1_human_aa_freq_vector <- OAS1_human_aa_freq_vector
aa.prop
## alpha.prop beta.prop a.plus.b.prop a.div.b OAS1_human_aa_freq_vector
## A 0.116469146 0.073126801 0.09264161 0.08331410 0.0525
## R 0.021659174 0.024135447 0.04129169 0.03369490 0.0275
## N 0.039640376 0.050072046 0.06352567 0.04223402 0.0550
## D 0.066612178 0.043587896 0.05876125 0.05631202 0.0625
## C 0.008990601 0.027017291 0.03917417 0.01453958 0.0500
## Q 0.027380466 0.043948127 0.03917417 0.02630972 0.0650
## E 0.054760932 0.030979827 0.04552673 0.05931225 0.0150
## G 0.080506743 0.106988473 0.09052409 0.08700669 0.0450
## H 0.045361667 0.017651297 0.01746956 0.02469421 0.0650
## I 0.037188394 0.043227666 0.04923240 0.05515809 0.1075
## L 0.090314671 0.063760807 0.05823187 0.07823679 0.0100
## K 0.101757254 0.041426513 0.05929063 0.07408262 0.0325
## M 0.019615856 0.005763689 0.01323452 0.02100162 0.0600
## F 0.050265631 0.030619597 0.02752779 0.03646434 0.0600
## P 0.033510421 0.045749280 0.03758602 0.04338795 0.0650
## S 0.049856968 0.122838617 0.06670196 0.07546734 0.0575
## T 0.048630977 0.091138329 0.06193753 0.05492730 0.0600
## W 0.013485901 0.015850144 0.01588142 0.01661666 0.0450
## Y 0.025745811 0.039625360 0.05717311 0.03000231 0.0225
## V 0.068246833 0.082492795 0.06511382 0.08723748 0.0425
# Corrleation used in Chou adn Zhange 1992.
chou_cor <- function(x,y){
numerator <- sum(x*y)
denominator <- sqrt((sum(x^2))*(sum(y^2)))
result <- numerator/denominator
return(result)
}
# Cosine similarity used in Higgs and Attwood (2005).
chou_cosine <- function(z.1, z.2){
z.1.abs <- sqrt(sum(z.1^2))
z.2.abs <- sqrt(sum(z.2^2))
my.cosine <- sum(z.1*z.2)/(z.1.abs*z.2.abs)
return(my.cosine)
}
#Calculate correlation between each column
corr.alpha <- chou_cor(aa.prop[,5], aa.prop[,1])
corr.beta <- chou_cor(aa.prop[,5], aa.prop[,2])
corr.apb <- chou_cor(aa.prop[,5], aa.prop[,3])
corr.adb <- chou_cor(aa.prop[,5], aa.prop[,4])
#Calculate cosine similarity
cos.alpha <- chou_cosine(aa.prop[,5], aa.prop[,1])
cos.beta <- chou_cosine(aa.prop[,5], aa.prop[,2])
cos.apb <- chou_cosine(aa.prop[,5], aa.prop[,3])
cos.adb <- chou_cosine(aa.prop[,5], aa.prop[,4])
#Calculate distance. #Note: we need to flip the dataframe on its side using a command called t()
aa.prop.flipped <- t(aa.prop)
round(aa.prop.flipped,2)
## A R N D C Q E G H I
## alpha.prop 0.12 0.02 0.04 0.07 0.01 0.03 0.05 0.08 0.05 0.04
## beta.prop 0.07 0.02 0.05 0.04 0.03 0.04 0.03 0.11 0.02 0.04
## a.plus.b.prop 0.09 0.04 0.06 0.06 0.04 0.04 0.05 0.09 0.02 0.05
## a.div.b 0.08 0.03 0.04 0.06 0.01 0.03 0.06 0.09 0.02 0.06
## OAS1_human_aa_freq_vector 0.05 0.03 0.06 0.06 0.05 0.06 0.01 0.04 0.06 0.11
## L K M F P S T W Y V
## alpha.prop 0.09 0.10 0.02 0.05 0.03 0.05 0.05 0.01 0.03 0.07
## beta.prop 0.06 0.04 0.01 0.03 0.05 0.12 0.09 0.02 0.04 0.08
## a.plus.b.prop 0.06 0.06 0.01 0.03 0.04 0.07 0.06 0.02 0.06 0.07
## a.div.b 0.08 0.07 0.02 0.04 0.04 0.08 0.05 0.02 0.03 0.09
## OAS1_human_aa_freq_vector 0.01 0.03 0.06 0.06 0.06 0.06 0.06 0.04 0.02 0.04
#We can get distance matrix like thisdist(aa.prop.flipped, method = "euclidean")
OAS1_Dist_Matrix1 <- dist(aa.prop.flipped, method = "euclidean")
OAS1_Dist_Matrix1
## alpha.prop beta.prop a.plus.b.prop a.div.b
## beta.prop 0.13342098
## a.plus.b.prop 0.09281824 0.08289406
## a.div.b 0.06699039 0.08659174 0.06175113
## OAS1_human_aa_freq_vector 0.17738526 0.16549112 0.14497565 0.15548328
#Individual distances using dist()
dist.alpha <- dist((aa.prop.flipped[c(1,5),]), method = "euclidean")
dist.beta <- dist((aa.prop.flipped[c(2,5),]), method = "euclidean")
dist.apb <- dist((aa.prop.flipped[c(3,5),]), method = "euclidean")
dist.adb <- dist((aa.prop.flipped[c(4,5),]), method = "euclidean")
#Compile the information. Rounding makes it easier to read
# fold types
fold.type <- c("alpha","beta","alpha plus beta", "alpha/beta")
# data
corr.sim <- round(c(corr.alpha,corr.beta,corr.apb,corr.adb),5)
cosine.sim <- round(c(cos.alpha,cos.beta,cos.apb,cos.adb),5)
Euclidean.dist <- round(c(dist.alpha,dist.beta,dist.apb,dist.adb),5)
# summary
sim.sum <- c("","","most.sim","")
dist.sum <- c("","","min.dist","")
df <- data.frame(fold.type,
corr.sim ,
cosine.sim ,
Euclidean.dist ,
sim.sum ,
dist.sum )
#display output
pander::pander(df)
| fold.type | corr.sim | cosine.sim | Euclidean.dist | sim.sum | dist.sum |
|---|---|---|---|---|---|
| alpha | 0.7511 | 0.7511 | 0.1774 | ||
| beta | 0.7873 | 0.7873 | 0.1655 | ||
| alpha plus beta | 0.8221 | 0.8221 | 0.145 | most.sim | min.dist |
| alpha/beta | 0.7995 | 0.7995 | 0.1555 |
# make each entry of the list into a vector
OAS1s_list_vector <- fasta_cleaner(OAS1s_list, parse = TRUE)
OAS1s_list_vector_Unlist <- unlist(OAS1s_list_vector)
# name the vector
names(OAS1s_list_vector) <- names(OAS1s_list)
OAS1s_list_vector
## NP_001077418.1 XP_031299144.1 NP_620268.2 NP_001025017.2
## "M" "M" "D" "L" "R"
## XP_016809250 NP_001075958.1 NP_001041596.1 XP_003952355.1 AYA44748.1
## "N" "T" "P" "A" "K"
## <NA> <NA> <NA> <NA> <NA>
## "S" "L" "D" "K" "F"
## <NA> <NA> <NA> <NA> <NA>
## "I" "E" "D" "Y" "L"
## <NA> <NA> <NA> <NA> <NA>
## "L" "P" "D" "T" "C"
## <NA> <NA> <NA> <NA> <NA>
## "F" "R" "M" "Q" "I"
## <NA> <NA> <NA> <NA> <NA>
## "N" "H" "A" "I" "D"
## <NA> <NA> <NA> <NA> <NA>
## "I" "I" "C" "G" "F"
## <NA> <NA> <NA> <NA> <NA>
## "L" "K" "E" "R" "C"
## <NA> <NA> <NA> <NA> <NA>
## "F" "R" "G" "S" "S"
## <NA> <NA> <NA> <NA> <NA>
## "Y" "P" "V" "C" "V"
## <NA> <NA> <NA> <NA> <NA>
## "S" "K" "V" "V" "K"
## <NA> <NA> <NA> <NA> <NA>
## "G" "G" "S" "S" "G"
## <NA> <NA> <NA> <NA> <NA>
## "K" "G" "T" "T" "L"
## <NA> <NA> <NA> <NA> <NA>
## "R" "G" "R" "S" "D"
## <NA> <NA> <NA> <NA> <NA>
## "A" "D" "L" "V" "V"
## <NA> <NA> <NA> <NA> <NA>
## "F" "L" "S" "P" "L"
## <NA> <NA> <NA> <NA> <NA>
## "T" "T" "F" "Q" "D"
## <NA> <NA> <NA> <NA> <NA>
## "Q" "L" "N" "R" "R"
## <NA> <NA> <NA> <NA> <NA>
## "G" "E" "F" "I" "Q"
## <NA> <NA> <NA> <NA> <NA>
## "E" "I" "R" "R" "Q"
## <NA> <NA> <NA> <NA> <NA>
## "L" "E" "A" "C" "Q"
## <NA> <NA> <NA> <NA> <NA>
## "R" "E" "R" "A" "F"
## <NA> <NA> <NA> <NA> <NA>
## "S" "V" "K" "F" "E"
## <NA> <NA> <NA> <NA> <NA>
## "V" "Q" "A" "P" "R"
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## "A" "E" "E" "D" "W"
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## "T" "C" "T" "I" "L"
#Pairwise alignments
Align.Human.vs.Chimp <- Biostrings:: pairwiseAlignment(HumanOAS1_string,ChimpOAS1_string)
Align.Human.vs.Pig <-Biostrings:: pairwiseAlignment(HumanOAS1_string , PigOAS1_string)
Align.Human.vs.Cattle <- Biostrings:: pairwiseAlignment(HumanOAS1_string , CattleOAS1_string)
Align.Pig.vs.Cattle <- Biostrings:: pairwiseAlignment(PigOAS1_string, CattleOAS1_string)
Align.Pig.vs.Chimp <- Biostrings:: pairwiseAlignment(PigOAS1_string, ChimpOAS1_string)
Align.Cattle.vs.Chimp <- Biostrings:: pairwiseAlignment(CattleOAS1_string, ChimpOAS1_string)
Align.Human.vs.Chimp
## Global PairwiseAlignmentsSingleSubject (1 of 1)
## pattern: MMD-LRNTPAKSLDKFIEDYLLPDTCFRMQINHA...YIGTHEYPHFSHRPSTLQAASTPQAEEDWTCTIL
## subject: MEQELRSTPSWKLDKFIEVYLLPNTSFRDDVKSA...-----EVPVD----------------EAWSCILL
## score: 190.5778
Align.Human.vs.Pig
## Global PairwiseAlignmentsSingleSubject (1 of 1)
## pattern: MMDLRNTPAKSLDKFIEDYLLPDTCFRMQINHAI...YIGTHEYPHFSHRPSTLQAASTPQAEEDWTCTIL
## subject: MMDLRNTPAKSLDKFIEDYLLPDKCFRKQINHAI...YIGTHEYPHFSHRPSTLQAASTPQAEEDWTCTIL
## score: 1576.371
Align.Human.vs.Cattle
## Global PairwiseAlignmentsSingleSubject (1 of 1)
## pattern: MMDLRNTPAKSLDKFIEDYLLPDTCFRMQINHAI...YIGTHEYPHFSHRPSTLQAASTPQAEEDWTCTIL
## subject: MPELKDTPAKDLDRFIENYLLPDTQFRRQVKEAI...-------P----------ASSLM-----------
## score: 294.4836
Align.Pig.vs.Cattle
## Global PairwiseAlignmentsSingleSubject (1 of 1)
## pattern: MMDLRNTPAKSLDKFIEDYLLPDKCFRKQINHAI...YIGTHEYPHFSHRPSTLQAASTPQAEEDWTCTIL
## subject: MPELKDTPAKDLDRFIENYLLPDTQFRRQVKEAI...-------P----------ASSLM-----------
## score: 277.2125
Align.Pig.vs.Chimp
## Global PairwiseAlignmentsSingleSubject (1 of 1)
## pattern: MMD-LRNTPAKSLDKFIEDYLLPDKCFRKQINHA...YIGTHEYPHFSHRPSTLQAASTPQAEEDWTCTIL
## subject: MEQELRSTPSWKLDKFIEVYLLPNTSFRDDVKSA...-----EVPVD----------------EAWSCILL
## score: 161.9436
Align.Cattle.vs.Chimp
## Global PairwiseAlignmentsSingleSubject (1 of 1)
## pattern: MP-ELKDTPAKDLDRFIENYLLPDTQFRRQVKEA...ARVWLSYPCFKKWDGSPVGSWDVLVKPASS--LM
## subject: MEQELRSTPSWKLDKFIEVYLLPNTSFRDDVKSA...ARLWLQYPCFMNRGGSPVSSWEVPVDEAWSCILL
## score: 304.4762
pids <- c(1, NA, NA, NA, pid(Align.Human.vs.Chimp), 1, NA, NA, pid(Align.Human.vs.Pig), pid(Align.Human.vs.Cattle), 1, NA, pid(Align.Pig.vs.Cattle), pid(Align.Pig.vs.Chimp), pid(Align.Cattle.vs.Chimp), 1)
mat <- matrix(pids, nrow = 4, byrow = T)
row.names(mat) <- c("Homo","Pan","Pig","Cattle")
colnames(mat) <- c("Homo","Pan","Pig","Cattle")
pander::pander(mat)
| Â | Homo | Pan | Pig | Cattle |
|---|---|---|---|---|
| Homo | 1 | NA | NA | NA |
| Pan | 62.19 | 1 | NA | NA |
| Pig | 96.01 | 66.67 | 1 | NA |
| Cattle | 65.98 | 61.29 | 67.6 | 1 |
#C ompare different PID methods. Humans vs. chimps # using the four different methods avaialbe in R
Biostrings::pid(Align.Human.vs.Chimp, type = "PID1")
## [1] 62.18905
Biostrings::pid(Align.Human.vs.Chimp, type = "PID2")
## [1] 70.22472
Biostrings::pid(Align.Human.vs.Chimp, type = "PID3")
## [1] 69.8324
Biostrings::pid(Align.Human.vs.Chimp, type = "PID4")
## [1] 65.96306
#Data Prep
OAS1s_Vector_StringSet <- Biostrings::AAStringSet(OAS1s_list_vector_Unlist)
ggmsa
OAS1_align <- msa(OAS1s_Vector_StringSet, method = "ClustalW")
## use default substitution matrix
## use default substitution matrix
class(OAS1_align)
## [1] "MsaAAMultipleAlignment"
## attr(,"package")
## [1] "msa"
is(OAS1_align)
## [1] "MsaAAMultipleAlignment" "AAMultipleAlignment" "MsaMetaData"
## [4] "MultipleAlignment"
#change class of alignment
class(OAS1_align) <- "AAMultipleAlignment"
#convert to sequinr format
OAS1_align_seqinr <- msaConvert(OAS1_align, type = "seqinr::alignment")
#Print MSA
compbio4all::print_msa(OAS1_align_seqinr)
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compbio4all::print_msa(OAS1_align_seqinr)
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## [1] " "
OAS1_Dist_Mat <- seqinr::dist.alignment(OAS1_align_seqinr, matrix = "identity")
is(OAS1_Dist_Mat)
## [1] "dist" "oldClass"
class(OAS1_Dist_Mat)
## [1] "dist"
#Round for display
OAS1_Dist_Mat_Rounded <- round(OAS1_Dist_Mat, 3)
OAS1_Dist_Mat_Rounded
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
## 2 0
## 3 0 0
## 4 0 0 0
## 5 0 0 0 0
## 6 0 0 0 0 0
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## 56 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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## 95 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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## 99 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 100 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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## [ reached getOption("max.print") -- omitted 149 rows ]
#build a phylogeentic tre from the distance matrix
OAS1_Tree <- nj(OAS1_Dist_Mat)
#Plot the tree
OAS1_Plotted_Tree <- plot.phylo(OAS1_Tree, main = "Phylogenetic Tree", type = "phylogram", use.edge.length = FALSE)
#add label
mtext (text = "OAS1 family gene tree - rooted with no branch lengths" )