G-protein-coupled receptor prediction using pseudo-amino-acid composition and multiscale energy representation of different physiochemical properties

2011 ◽  
Vol 412 (2) ◽  
pp. 173-182 ◽  
Author(s):  
Zia ur-Rehman ◽  
Asifullah Khan
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
G Protein ◽  
Acid Composition ◽  
Pseudo Amino Acid Composition ◽  
G Protein Coupled Receptor ◽  
Physiochemical Properties ◽  
G Protein Coupled

Applying random forest and subtractive fuzzy c-means clustering techniques for the development of a novel G protein-coupled receptor discrimination method using pseudo amino acid compositions

2015 ◽  
Vol 11 (8) ◽  
pp. 2364-2372 ◽  
Author(s):  
Babak Sokouti ◽  
Farshad Rezvan ◽  
Siavoush Dastmalchi
Keyword(s):  
Amino Acid ◽  
Random Forest ◽  
Amino Acid Composition ◽  
G Protein ◽  
High Performance ◽  
Pseudo Amino Acid Composition ◽  
Clustering Techniques ◽  
Fuzzy C Means Clustering ◽  
G Protein Coupled ◽  
Discrimination Method

This is a novel and high performance GPCR discrimination method, which uses the partial Chou's pseudo amino acid composition features.

scholarly journals Prediction of Aptamer-Target Interacting Pairs with Pseudo-Amino Acid Composition

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e86729 ◽  
Author(s):  
Bi-Qing Li ◽  
Yu-Chao Zhang ◽  
Guo-Hua Huang ◽  
Wei-Ren Cui ◽  
Ning Zhang ◽  
...  
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Pseudo Amino Acid Composition
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