Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine

2014 ◽  
Vol 116 (3) ◽  
pp. 184-192 ◽  
Author(s):  
Maqsood Hayat ◽  
Nadeem Iqbal
Keyword(s):  
Support Vector Machine ◽  
Protein Structure ◽  
Chemical Shift ◽  
Support Vector

SMpred: A Support Vector Machine Approach to Identify Structural Motifs in Protein Structure Without Using Evolutionary Information

2010 ◽  
Vol 28 (3) ◽  
pp. 405-414 ◽  
Author(s):  
Ganesan Pugalenthi ◽  
Krishna Kumar Kandaswamy ◽  
P. N. Suganthan ◽  
R. Sowdhamini ◽  
Thomas Martinetz ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Protein Structure ◽  
Evolutionary Information ◽  
Support Vector ◽  
Structural Motifs

scholarly journals Protein Structure Classification Based on Distance Feature

2020 ◽  
pp. 263-269
Author(s):  
Sheshang Degadwala ◽  
Dhairya Vyas ◽  
Harsh S Dave
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Support Vector Machine ◽  
Protein Structure ◽  
Random Forest ◽  
Machine Intelligence ◽  
Support Vector ◽  
Bayes Classifier ◽  
Protein Structure Classification ◽  
Better Than

In Bioinformatics field Protein Structure Classification is the hugest undertaking. The realized proteins have been requested subject to their level, feature, work, amino destructive and family and superfamily. Protein structure segregated into four sorts: all ? protein structure, all ? protein structure, ?+? protein structure, and ?/? protein structure. The use of a standard way to deal with perform plan is a very inconvenient and dreary task. The quantity of cutting edge Machine Intelligence enrolling strategies such Support Vector Machine, Random Forest, Artificial Neural Network, Decision Tree and Naïve Bayes Classifier had been proposed in the composition. Our objective right currently is to develop a system that performs better than anything past markers for protein structure gathering by thinking about the separation among the distinctive Amino Acid buildups. To take a gander at the display of proposed work particular datasets are used.

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