Entropy‐based distance cutoff for protein internal contact networks
- 30 May 2021
- journal article
- research article
- Published by Wiley in Proteins: Structure, Function, and Bioinformatics
- Vol. 89 (10) , 1333-1339
Abstract
Protein structure networks (PSNs) have long been used to provide a coarse yet meaningful representation of protein structure, dynamics, and internal communication pathways. An important question is what criteria should be applied to construct the network so that to include relevant interresidue contacts while avoiding unnecessary connections. To address this issue, we systematically considered varying residue distance cutoff length and the probability threshold for contact formation to construct PSNs based on atomistic molecular dynamics in order to assess the amount of mutual information within the resulting representations. We found that the minimum in mutual information is universally achieved at the cutoff length of 5 Å, irrespective of the applied contact formation probability threshold in all considered, distinct proteins. Assuming that the optimal PSNs should be characterized by the least amount of redundancy, which corresponds to the minimum in mutual information, this finding suggests an objective criterion for cutoff distance and supports the existing preference towards its customary selection around 5 Å length, typically based to date on heuristic criteria.Keywords
All Related Versions
Funding Information
- European Molecular Biology Organization (IG 3051/2015)
This publication has 41 references indexed in Scilit:
- Interaction Energy Based Protein Structure NetworksBiophysical Journal, 2010
- Global Dynamics of Proteins: Bridging Between Structure and FunctionAnnual Review of Biophysics, 2010
- Improved side‐chain torsion potentials for the Amber ff99SB protein force fieldProteins: Structure, Function, and Bioinformatics, 2010
- Dynamic personalities of proteinsNature, 2007
- A study of communication pathways in methionyl- tRNA synthetase by molecular dynamics simulations and structure network analysisProceedings of the National Academy of Sciences, 2007
- Surprisingly High Correlation between Early and Late Stages in Non-two-state Protein FoldingJournal of Molecular Biology, 2006
- Network Analysis of Protein Structures Identifies Functional ResiduesJournal of Molecular Biology, 2004
- The Protein Data BankNucleic Acids Research, 2000
- Identification of side-chain clusters in protein structures by a graph spectral method 1 1Edited by J. M. ThorntonJournal of Molecular Biology, 1999
- Comparison of simple potential functions for simulating liquid waterThe Journal of Chemical Physics, 1983