Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information

Background: Guanosine triphosphate (GTP)-binding proteins play an important role in regulation of G-protein. Thus prediction of GTP interacting residues in a protein is one of the major challenges in the field of the computational biology. In this study, an attempt has been made to develop a computational method for predicting GTP interacting residues in a protein with high accuracy (Acc), precision (Prec) and recall (Rc). Result: All the models developed in this study have been trained and tested on a non-redundant (40% similarity) dataset using five-fold cross-validation. Firstly, we have developed neural network based models using single sequence

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Jagat S. Chauhan, Nitish K. Mishra, Gajendra P. S. Raghava
• Keywords: BMCBI 2010, GTP Interacting Residues, Important Role, Protein