Evidence map›Paper›PMID 36040440›Full record

ArticleThe journal of physical chemistry. B2022

Computationally-Aided Modeling of Hsp70-Client Interactions: Past, Present, and Future.

Erik B Nordquist, Eugenia M Clerico, Jianhan Chen, Lila M Gierasch

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Protein Biosynthesis and Maturation in the ER.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Erik B NordquistDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003, United States.ORCID 0000-0001-9139-0152
Eugenia M ClericoDepartment of Biochemistry and Molecular Biology, University of Massachusetts, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-4433-8842
Jianhan ChenDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-5281-1150
Lila M GieraschDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-5706-115X
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
NIGMS NIH HHS R35 GM118161NIGMS NIH HHS R35 GM144045NIGMS NIH HHS T32 GM008515NIGMS NIH HHS T32 GM139789
6 · The paper itself

Abstract

Hsp70 molecular chaperones play central roles in maintaining a healthy cellular proteome. Hsp70s function by binding to short peptide sequences in incompletely folded client proteins, thus preventing them from misfolding and/or aggregating, and in many cases holding them in a state that is competent for subsequent processes like translocation across membranes. There is considerable interest in predicting the sites where Hsp70s may bind their clients, as the ability to do so sheds light on the cellular functions of the chaperone. In addition, the capacity of the Hsp70 chaperone family to bind to a broad array of clients and to identify accessible sequences that enable discrimination of those that are folded from those that are not fully folded, which is essential to their cellular roles, is a fascinating puzzle in molecular recognition. In this article we discuss efforts to harness computational modeling with input from experimental data to develop a predictive understanding of the promiscuous yet selective binding of Hsp70 molecular chaperones to accessible sequences within their client proteins. We trace how an increasing understanding of the complexities of Hsp70-client interactions has led computational modeling to new underlying assumptions and design features. We describe the trend from purely data-driven analysis toward increased reliance on physics-based modeling that deeply integrates structural information and sequence-based functional data with physics-based binding energies. Notably, new experimental insights are adding to our understanding of the molecular origins of "selective promiscuity" in substrate binding by Hsp70 chaperones and challenging the underlying assumptions and design used in earlier predictive models. Taking the new experimental findings together with exciting progress in computational modeling of protein structures leads us to foresee a bright future for a predictive understanding of selective-yet-promiscuous binding exploited by Hsp70 molecular chaperones; the resulting new insights will also apply to substrate binding by other chaperones and by signaling proteins.

Indexed as

HSP70 Heat-Shock ProteinsMolecular ChaperonesHumansModels, MolecularProtein BindingProtein FoldingProteomeHSP70 Heat-Shock ProteinsMolecular ChaperonesProteome

Identifiers

PMID36040440
PMCPMC10309085
OpenAlexW4293572200

What Socratic holds

Textmetadata
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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 Socratic graph.