Evidence map›Paper›PMID 30645590›Full record

ArticlePLoS computational biology2019

On identifying collective displacements in apo-proteins that reveal eventual binding pathways.

Dheeraj Dube, Navjeet Ahalawat, Himanshu Khandelia, Jagannath Mondal, Surajit Sengupta

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dheeraj DubeTata Institute of Fundamental Research, Center for Interdisciplinary Sciences, Hyderabad, India.
Navjeet AhalawatTata Institute of Fundamental Research, Center for Interdisciplinary Sciences, Hyderabad, India.ORCID 0000-0002-9665-8709
Himanshu KhandeliaMEMPHYS, Center for Biomembrane Physics, Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Odense, Denmark.
Jagannath MondalTata Institute of Fundamental Research, Center for Interdisciplinary Sciences, Hyderabad, India.ORCID 0000-0003-1090-5199
Surajit SenguptaTata Institute of Fundamental Research, Center for Interdisciplinary Sciences, Hyderabad, India.ORCID 0000-0002-3221-7437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Binding of small molecules to proteins often involves large conformational changes in the latter, which open up pathways to the binding site. Observing and pinpointing these rare events in large scale, all-atom, computations of specific protein-ligand complexes, is expensive and to a great extent serendipitous. Further, relevant collective variables which characterise specific binding or un-binding scenarios are still difficult to identify despite the large body of work on the subject. Here, we show that possible primary and secondary binding pathways can be discovered from short simulations of the apo-protein without waiting for an actual binding event to occur. We use a projection formalism, introduced earlier to study deformation in solids, to analyse local atomic displacements into two mutually orthogonal subspaces-those which are "affine" i.e. expressible as a homogeneous deformation of the native structure, and those which are not. The susceptibility to non-affine displacements among the various residues in the apo- protein is then shown to correlate with typical binding pathways and sites crucial for allosteric modifications. We validate our observation with all-atom computations of three proteins, T4-Lysozyme, Src kinase and Cytochrome P450.

Indexed as

AnimalsComputational BiologyLigandsMolecular Dynamics SimulationProtein BindingProtein ConformationProteinsLigandsProteins

Identifiers

PMID30645590
PMCPMC6333327

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.