Evidence map›Paper›PMID 35658008›Full record

ArticlePLoS computational biology2022

Induced fit with replica exchange improves protein complex structure prediction.

Ameya Harmalkar, Sai Pooja Mahajan, Jeffrey J Gray

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  5. Flexible protein-protein docking with a multitrack iterative transformer.Protein science : a publication of the Protein Society · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Ameya HarmalkarDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID 0000-0001-6863-9634
Sai Pooja MahajanDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID 0000-0002-4228-0341
Jeffrey J GrayDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID 0000-0001-6380-2324
Johns Hopkins University · US

Funding

Prediction of the Structures of Protein ComplexesR35GM141881 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI JEFFREY J GRAY · 2021 to 2026
$7.6M
Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
NIGMS NIH HHS R01 GM078221NIGMS NIH HHS R35 GM141881
6 · The paper itself

Abstract

Despite the progress in prediction of protein complexes over the last decade, recent blind protein complex structure prediction challenges revealed limited success rates (less than 20% models with DockQ score > 0.4) on targets that exhibit significant conformational change upon binding. To overcome limitations in capturing backbone motions, we developed a new, aggressive sampling method that incorporates temperature replica exchange Monte Carlo (T-REMC) and conformational sampling techniques within docking protocols in Rosetta. Our method, ReplicaDock 2.0, mimics induced-fit mechanism of protein binding to sample backbone motions across putative interface residues on-the-fly, thereby recapitulating binding-partner induced conformational changes. Furthermore, ReplicaDock 2.0 clocks in at 150-500 CPU hours per target (protein-size dependent); a runtime that is significantly faster than Molecular Dynamics based approaches. For a benchmark set of 88 proteins with moderate to high flexibility (unbound-to-bound iRMSD over 1.2 Å), ReplicaDock 2.0 successfully docks 61% of moderately flexible complexes and 35% of highly flexible complexes. Additionally, we demonstrate that by biasing backbone sampling particularly towards residues comprising flexible loops or hinge domains, highly flexible targets can be predicted to under 2 Å accuracy. This indicates that additional gains are possible when mobile protein segments are known.

Indexed as

ProteinsMonte Carlo MethodProtein BindingProtein ConformationProteins

Identifiers

PMID35658008
PMCPMC9200320
OpenAlexW4281708617

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.