Proportional matrix

This document shows the proportional matrix. For all 57 amino acids and secondary structures combinations, we further analysis the overlaping of each combination against the rest of 56, and we structured a \(57\times57\) matrix to representation the proportion.

Raw matrix

Normalize by row then by column

• Normalyze by row

Verify results

• Normalize by column

verify Results

Final matrix Bill

Save the proportional matrix

Moseley Matrix

Final matrix Moseley

Save the proportional matrix

Results

Normalize row and column:

Normalize only the column

April 24

Using the raw matrix, which was calculated use all the chemical shifts from the RefDB.

Using the chemical shifts from the , which was calculated use all the chemical shifts from the RefDB.

Results using the proprotional matrix with rmsd

Using the good data from rmsd

 [1] -0.16326530612244894 -0.36734693877550995 -0.36734693877550995 -0.20408163265306101  0.08163265306122436 -0.24489795918367330
 [7]  0.08163265306122436  0.04081632653061207 -0.32653061224489766 -0.20408163265306123 -0.12244897959183665 -0.08163265306122436
[13]  0.08163265306122436  0.53061224489795955  0.00000000000000000  0.44897959183673497  0.32653061224489766  0.77551020408163263
[19]  0.57142857142857162  0.24489795918367308 -0.12244897959183665  0.24489795918367308  0.24489795918367308  0.16326530612244872
[25] -0.04081632653061229  0.32653061224489766  0.61224489795918391  0.12244897959183665  0.28571428571428537 -0.12244897959183665
[31]  0.12244897959183665 -0.12244897959183665  0.20408163265306078  0.04081632653061207  0.12244897959183665 -0.04081632653061229
[37]  0.04081632653061207  0.08163265306122436  0.08163265306122436  0.24489795918367308  0.16326530612244872  0.12244897959183665
[43] -0.04081632653061229  0.08163265306122436 -0.16326530612244894 -0.16326530612244894  0.12244897959183665  0.00000000000000000
[49] -0.20408163265306101  0.36734693877550972 -0.08163265306122436  0.08163265306122436  0.08163265306122436  0.12244897959183665
[55]  0.28571428571428537  0.16326530612244872  0.28571428571428537  0.08163265306122436  0.16326530612244872  0.28571428571428537
[61]  0.00000000000000000

What matrix combine or seperate

May 3-5

Normalized by column and find weights

 [1] 0.51214148347058230 0.03176934092584900 0.15415605147800565 0.07828351612353736 0.11524902277696929 0.07252957977472466 0.15521635884857016
 [8] 0.13661039250366827 0.21635717234681523 0.10998630153858069 0.17602988827691465 0.30543489130117951 0.09843704243437859 0.08784392182500152
[15] 0.49425942877749285 0.46858851573989546 0.22641114619534528 0.07246193731983087 0.10395384099537326 0.48159345332431625 0.02461644448496505
[22] 0.17567055042496313 0.08206947517008081 0.09661492950631106 0.06776373687033983 0.15858295870400452 0.09136767611965134 0.14354716699054532
[29] 0.08426721053537944 0.24650156267135717 0.28949214991990524 0.09717760023850724 0.07438239744768939 0.45563239698936858 0.43560024774424849
[36] 0.15682530514873516 0.06625378136668220 0.10273746737510903 0.71702411436938929 0.05042691287631578 0.16189321429077033 0.18433686569726418
[43] 0.19138298083102914 0.08851487851448107 0.56858036786961796 0.24680957471283466 0.23917459058982127 0.09761311807111921 0.22039461616176848
[50] 0.39807394624098852 0.20836648312608869 0.13470368544261424 0.61044174942489549 0.61280144689448190 0.38079292947325127 0.09870388943545076
[57] 0.23583189705205529

[1] 0.8163265

May 6th Results

Without Prior

• 90% Confident Range

[1] 0.7346939

With Prior

• 90% Confident Range

[1] 0.8571429

May 9th Results

Without Prior

• 90% Confident Range

[1] 0.7346939

With Prior

• 90% Confident Range

[1] 0.9387755