Prediction of Flavin Mononucleotide (FMN) Binding Sites in Proteins Using the 3D Search Motif Method and Double-Centroid Reduced Representation of Protein 3D Structures

TL;DR

This paper develops a 3D search motif method combined with double-centroid reduced representation to predict FMN binding sites in proteins, aiding drug discovery by identifying ligand binding pockets.

Contribution

It introduces a novel 3D consensus binding site motif for FMN and demonstrates its application in scanning protein structures to locate potential ligand binding sites.

Findings

Successfully identified FMN binding sites in proteins.

Validated the 3D motif's effectiveness in binding site prediction.

Facilitates drug design targeting FMN binding pockets.

Abstract

A pharmacophore consists of the parts of the structure of the ligand that are sufficient to express the biological and pharmacological effects of the ligand. It is usually a substructure of the entire structure of the ligand. Small organic molecules called ligands or metabolites in the cell form complexes with biomolecules (usually proteins) to serve different purposes. The sites at which the ligands bind are known as ligand binding sites, which are essentially "pockets" which have complementary shapes and patterns of charge distribution with the ligands. Sometimes a pocket is induced by the ligand itself. If we study different bound conformations of ligands it is found that they share a specific three- dimensional pattern that is more or less common and is responsible for its binding and which is complementary in three-dimensional geometry and charge distribution pattern with its cognate binding site in the protein. This work studies the three dimensional structure of the consensus ligand binding site for the ligand FMN. A training set for the ligand binding sites was made and a 3D consensus binding site motif was determined for FMN. The FMN system was studied and its binding sites in its respective regulator proteins. The ability to identify ligand binding site by scanning the 3D binding site consensus motif in protein 3D structures is an important step in drug target discovery. Once a pharmacophore template is found it can also be used to design other potential molecules that can bind to it and thus serve as novel drugs.