Evidence map›Paper›PMID 34735438›Full record

ArticlePLoS computational biology2021

Physics-based modeling provides predictive understanding of selectively promiscuous substrate binding by Hsp70 chaperones.

Erik B Nordquist, Charles A English, Eugenia M Clerico, Woody Sherman, Lila M Gierasch, Jianhan Chen

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. 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
0.9field-weighted citation impact, top 27% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. HSP70-binding motifs function as protein quality control degrons.Cellular and molecular life sciences : CMLS · 2023
    Article
  6. Article
  7. Review
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

6 authors at 1 institution in 1 country.

Erik B NordquistDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.ORCID 0000-0001-9139-0152
Charles A EnglishDepartment of Biochemistry and Molecular Biology, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.ORCID 0000-0001-7306-9883
Eugenia M ClericoDepartment of Biochemistry and Molecular Biology, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.ORCID 0000-0002-4433-8842
Woody ShermanDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.ORCID 0000-0001-9079-1376
Lila M GieraschDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.
Jianhan ChenDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.ORCID 0000-0002-5281-1150
University of Massachusetts Amherst · US

Funding

Protein folding in the cell: Challenges and coping mechanisms Administrative Supplement for Equipment PurchaseR35GM118161 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI GIERASCH, LILA M · 2016 to 2025
$5.5M
CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAINING GRANTST32GM008515 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI THOMPSON, LYNMARIE K. · 1995 to 2020
$4.3M
Chemistry-Biology Interface Predoctoral Training GrantT32GM139789 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ERIC Robert STRIETER · 2021 to 2026
$3.4M
Disordered Proteins and Dynamic Interactions in Biology and Diseases.R35GM144045 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Jianhan Chen · 2022 to 2026
$2.0M
Multi-scale enhanced sampling of disordered proteins: Admin Supplement InstrumentationR01GM114300 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI CHEN, JIANHAN · 2016 to 2020
$1.5M
NIGMS NIH HHS R01 GM114300NIGMS NIH HHS R35 GM118161NIGMS NIH HHS R35 GM144045NIGMS NIH HHS T32 GM008515NIGMS NIH HHS T32 GM139789
6 · The paper itself

Abstract

To help cells cope with protein misfolding and aggregation, Hsp70 molecular chaperones selectively bind a variety of sequences ("selective promiscuity"). Statistical analyses from substrate-derived peptide arrays reveal that DnaK, the E. coli Hsp70, binds to sequences containing three to five branched hydrophobic residues, although otherwise the specific amino acids can vary considerably. Several high-resolution structures of the substrate -binding domain (SBD) of DnaK bound to peptides reveal a highly conserved configuration of the bound substrate and further suggest that the substrate-binding cleft consists of five largely independent sites for interaction with five consecutive substrate residues. Importantly, both substrate backbone orientations (N- to C- and C- to N-) allow essentially the same backbone hydrogen-bonding and side-chain interactions with the chaperone. In order to rationalize these observations, we performed atomistic molecular dynamics simulations to sample the interactions of all 20 amino acid side chains in each of the five sites of the chaperone in the context of the conserved substrate backbone configurations. The resulting interaction energetics provide the basis set for deriving a predictive model that we call Paladin (Physics-based model of DnaK-Substrate Binding). Trained using available peptide array data, Paladin can distinguish binders and nonbinders of DnaK with accuracy comparable to existing predictors and further predicts the detailed configuration of the bound sequence. Tested using existing DnaK-peptide structures, Paladin correctly predicted the binding register in 10 out of 13 substrate sequences that bind in the N- to C- orientation, and the binding orientation in 16 out of 22 sequences. The physical basis of the Paladin model provides insight into the origins of how Hsp70s bind substrates with a balance of selectivity and promiscuity. The approach described here can be extended to other Hsp70s where extensive peptide array data is not available.

Indexed as

Binding SitesComputational BiologyEscherichia coli ProteinsHSP70 Heat-Shock ProteinsHydrophobic and Hydrophilic InteractionsMolecular Dynamics SimulationPhysical PhenomenaProtein BindingProtein ConformationProtein DomainsdnaK protein, E coliEscherichia coli ProteinsHSP70 Heat-Shock Proteins

Identifiers

PMID34735438
PMCPMC8604352
OpenAlexW3209247068

What OpenQuestion holds

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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.