Implementation of The Double-Centroid Reduced Representation of Proteins and its Application to the Prediction of Ligand Binding Sites and Protein-Protein Interaction Partners Using FORTRAN 77/90 Language
Vicente M. Reyes

TL;DR
This paper details the implementation of a reduced protein structure representation and its application to predicting ligand binding sites and protein-protein interaction partners using FORTRAN codes, validated on specific protein complexes.
Contribution
It introduces a FORTRAN-based method for transforming protein structures into a reduced form and applies it to predict ligand binding sites and interaction partners, demonstrating its efficacy.
Findings
Successful construction of 3D search motifs for GTP and sialic acid.
Effective screening for potential receptor proteins and protomers.
Validation on known protein complexes shows promising results.
Abstract
Transformation of protein 3D structures from their all-atom representation (AAR) to the double-centroid reduced representation (DCRR) is a prerequisite to the implementation of both the tetrahedral three-dimensional search motif (3D SM) method for predicting specific ligand binding sites (LBS) in proteins, and the 3D interface search motif tetrahedral pair (3D ISMTP) method for predicting binary protein-protein interaction (PPI) partners (Reyes, V.M., 2015a & c, 2015b, 2009a, b & c). Here we describe results demonstrating the efficacy of the set of FORTRAN 77 and 90 source codes used in the transformation from AAR to DCRR and the implementation of the 3D SM and 3D ISMTP methods. Precisely, we show here the construction of the 3D SM for the biologically important ligands, GTP and sialic acid, from a training set composed of experimentally solved structures of proteins complexed with the…
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Taxonomy
TopicsComputational Drug Discovery Methods · Protein Structure and Dynamics · RNA and protein synthesis mechanisms
