Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
: It is a very active research field to predict protein functions and active sites by protein surface patches. It is especially challengeable to predict the active sites by structu...
Sunshin Kim, Chung Rhee, Jungdo Choi, Yong Je Chun...
Tools for the identification of trans-membrane spans from the protein sequence are widely used in the experimental community. Computational structural biology seeks to increase the...
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang W...
—Homology modeling requires an accurate alignment between a query sequence and its homologs with known three-dimensional (3D) information. Current structural modeling techniques ...