question `14
dc<-get.desc.categories()
dc
## [1] "protein" "hybrid" "constitutional" "topological"
## [5] "electronic" "geometrical"
question 13
mol<-parse.smiles("c1([C@@H](C(O)=O)C)ccc(CC(C)C)cc1")[[1]]
get.xlogp(mol)
## [1] 3.641
question 15
mol <- parse.smiles("C1CN(CCC1NC(C2=CN=CC=C2)C3=CN(N=C3)CC(F)(F)F)C4=CC=C(C=C4)C(F)(F)F")[[1]]
atoms<-get.atoms(mol)
cat('No. of atoms =', length(atoms), '\n')
## No. of atoms = 34
q16
mol4 <- parse.smiles("N1(c2c(NC(c3c1nccc3)=O)c(ccn2)C)C1CC1")
descName<-c("org.openscience.cdk.qsar.descriptors.molecular.WeightDescriptor")
desc <- eval.desc(mol4, descName)
desc
## MW
## N1(c2c(NC(c3c1nccc3)=O)c(ccn2)C)C1CC1 266.1168
q 17
mol <- parse.smiles("C1CN(CCC1NC(C2=CN=CC=C2)C3=CN(N=C3)CC(F)(F)F)C4=CC=C(C=C4)C(F)(F)F")[[1]]
bonds <-get.bonds(mol)
cat('No. of bonds =', length(bonds), '\n')
## No. of bonds = 37
q19
fp1 <- new("fingerprint", nbit=10, bits=c(1,2,4,6,9))
fp2 <- new("fingerprint", nbit=10, bits=c(2,5,6))
distance(fp1,fp2)
## [1] 0.3333333