Evidence map›Paper›PMID 30881664›Full record

ArticleChemical science2019

Protein-protein binding pathways and calculations of rate constants using fully-continuous, explicit-solvent simulations.

Ali S Saglam, Lillian T Chong

Abstract read
In one paragraph

Article in Chemical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

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

56 citing papers in PubMed.

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  10. Gating residues govern ligand unbinding kinetics from the buried cavity in HIF-2α PAS-B.Protein science : a publication of the Protein Society · 2024
    Article
  11. Article
  12. Article
  13. WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data.Journal of chemical information and modeling · 2024
    Article
  14. Article
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  17. Discovering optimal kinetic pathways for self-assembly using automatic differentiation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. LPATH: A Semiautomated Python Tool for Clustering Molecular Pathways.Journal of chemical information and modeling · 2023
    Article
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

2 authors.

Ali S SaglamUniversity of Pittsburgh , Department of Chemistry , 219 Parkman Avenue , Pittsburgh , PA 15260 , USA . Email: ltchong@pitt.edu ; Tel: +1-412-624-6026.
Lillian T ChongUniversity of Pittsburgh , Department of Chemistry , 219 Parkman Avenue , Pittsburgh , PA 15260 , USA . Email: ltchong@pitt.edu ; Tel: +1-412-624-6026.ORCID 0000-0002-0590-483X

Funding

WESTPA: A high-performance framework for simulating at the frontiers of biologyR01GM115805 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LILLIAN T CHONG · 2015 to 2026
$4.0M
NIGMS NIH HHS R01 GM115805
6 · The paper itself

Abstract

A grand challenge in the field of biophysics has been the complete characterization of protein-protein binding processes at atomic resolution. This characterization requires the direct simulation of binding pathways starting from the initial, unbound state and proceeding through states that are too transient to be captured by experiment. Here, we applied the weighted ensemble path sampling strategy to orchestrate atomistic simulation of protein-protein binding pathways. Our simulation generated 203 fully-continuous and independent pathways along with rate constants for the binding process involving the barnase and barstar proteins. Results reveal multiple binding pathways along a "funnel-like" free energy landscape in which the formation of the "encounter complex" intermediate is rate-limiting followed by a relatively rapid rearrangement of the encounter complex to the bound state. Among all diffusional collisions, only ∼11% were productive. In the most probable binding pathways, the proteins rotated to a large extent (likely

Identifiers

PMID30881664
PMCPMC6385678

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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.