Literature DB >> 32324386

Perturb-Scan-Pull: A Novel Method Facilitating Conformational Transitions in Proteins.

Farzaneh Jalalypour1, Ozge Sensoy2, Canan Atilgan1,3.   

Abstract

Conformational transitions in proteins facilitate precise physiological functions. Therefore, it is crucial to understand the mechanisms underlying these processes to modulate protein function. Yet, studying structural and dynamical properties of proteins is notoriously challenging due to the complexity of the underlying potential energy surfaces (PES). We have previously developed the perturbation-response scanning (PRS) method to identify key residues that participate in the communication network responsible for specific conformational transitions. PRS is based on a residue-by-residue scan of the protein to determine the subset of residues/forces which provide the closest conformational change leading to a target conformational state, inasmuch as linear response theory applies to these motions. Here, we develop a novel method to further evaluate if conformational transitions may be triggered on the PES. We aim to study functionally relevant conformational transitions in proteins by using results obtained from PRS and feeding them as inputs to steered molecular dynamics simulations. The success and the transferability of the method are evaluated on three protein systems having different complexities of motion on the PES: calmodulin, adenylate kinase, and bacterial ferric binding protein. We find that the method captures the target conformation, while providing key residues and the optimum paths with relatively low free energy profiles.

Year:  2020        PMID: 32324386     DOI: 10.1021/acs.jctc.9b01222

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  5 in total

Review 1.  Towards gaining sight of multiscale events: utilizing network models and normal modes in hybrid methods.

Authors:  James M Krieger; Pemra Doruker; Ana Ligia Scott; David Perahia; Ivet Bahar
Journal:  Curr Opin Struct Biol       Date:  2020-07-01       Impact factor: 6.809

2.  Fast computational mutation-response scanning of proteins.

Authors:  Julian Echave
Journal:  PeerJ       Date:  2021-04-21       Impact factor: 2.984

3.  Allosteric Determinants of the SARS-CoV-2 Spike Protein Binding with Nanobodies: Examining Mechanisms of Mutational Escape and Sensitivity of the Omicron Variant.

Authors:  Gennady Verkhivker
Journal:  Int J Mol Sci       Date:  2022-02-16       Impact factor: 5.923

4.  A Coarse-Grained Methodology Identifies Intrinsic Mechanisms That Dissociate Interacting Protein Pairs.

Authors:  Haleh Abdizadeh; Farzaneh Jalalypour; Ali Rana Atilgan; Canan Atilgan
Journal:  Front Mol Biosci       Date:  2020-08-25

5.  Molecular Simulations and Network Modeling Reveal an Allosteric Signaling in the SARS-CoV-2 Spike Proteins.

Authors:  Gennady M Verkhivker
Journal:  J Proteome Res       Date:  2020-10-02       Impact factor: 4.466

  5 in total

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