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Resolving protein structure-function-binding site relationships from a binding site similarity network perspective.

Richa Mudgal1, Narayanaswamy Srinivasan2, Nagasuma Chandra3

  • 1IISc Mathematics Initiative, Indian Institute of Science, Bangalore, Karnataka, 560 012, India.

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|March 26, 2017
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Summary
This summary is machine-generated.

Accurate protein function annotation is challenging. This study uses binding site data to build a network revealing complex fold-function relationships, improving annotation and enzyme design.

Keywords:
binding site similarity networkenzyme foldstructure-function relationshipsub-structures

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • Protein functional annotation is complex due to divergence and convergence, and multi-domain proteins.
  • Existing methods struggle with nuanced fold-function relationships.

Purpose of the Study:

  • To develop a more accurate method for protein functional annotation.
  • To systematically map fold-function-binding site relationships.
  • To leverage binding site information for resolving protein function.

Main Methods:

  • Generated a comprehensive database of 2,020 fold-function-binding site relationships.
  • Employed a network-based approach integrating binding site, fold, function, and ligand similarity.
  • Analyzed network properties to identify versatile protein families and functional relationships.

Main Results:

  • Deciphered diverse associations: versatile folds with multiple functions, shared functions across folds, and one-to-one relationships.
  • Identified protein families with dissimilar binding sites performing similar functions.
  • Observed continuity in functional site space and evolution of protein functions.

Conclusions:

  • Binding site information refines fold-function relationships for accurate annotation.
  • Network analysis reveals protein functional versatility and evolutionary insights.
  • Findings support improved annotation, poly-pharmacology, and enzyme design.