Evidence map›Paper›PMID 27984811›Full record

ReviewCurrent opinion in structural biology2017

Path-sampling strategies for simulating rare events in biomolecular systems.

Lillian T Chong, Ali S Saglam, Daniel M Zuckerman

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Evaluation of Au(III) complexes as Plasmodium falciparum aquaglyceroporin (PfAQP) inhibitors by in silico and in vitro methods.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2024
    Article
  11. 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
  12. Generating Protein Structures for Pathway Discovery Using Deep Learning.Journal of chemical theory and computation · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Enhanced Sampling with Machine Learning.Annual review of physical chemistry · 2024
    Review
  17. Article
  18. Fine-tuning activation specificity of G-protein-coupled receptors via automated path searching.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. LPATH: A Semiautomated Python Tool for Clustering Molecular Pathways.Journal of chemical information and modeling · 2023
    Article
  20. 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

3 authors.

Lillian T ChongDepartment of Chemistry, University of Pittsburgh, Pittsburgh, PA 15260, USA. Electronic address: ltchong@pitt.edu.
Ali S SaglamDepartment of Chemistry, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Daniel M ZuckermanOHSU Center for Spatial Systems Biomedicine and Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA. Electronic address: zuckermd@ohsu.edu.

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FAEDER, JAMES · 2012 to 2021
$16.3M
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 P41 GM103712NIGMS NIH HHS R01 GM115805
6 · The paper itself

Abstract

Despite more than three decades of effort with molecular dynamics simulations, long-timescale (ms and beyond) biologically relevant phenomena remain out of reach in most systems of interest. This is largely because important transitions, such as conformational changes and (un)binding events, tend to be rare for conventional simulations (<10μs). That is, conventional simulations will predominantly dwell in metastable states instead of making large transitions in complex biomolecular energy landscapes. In contrast, path sampling approaches focus computing effort specifically on transitions of interest. Such approaches have been in use for nearly 20 years in biomolecular systems and enabled the generation of pathways and calculation of rate constants for ms processes, including large protein conformational changes, protein folding, and protein (un)binding.

Indexed as

Models, MolecularProtein ConformationProtein FoldingProteinsProteins

Identifiers

PMID27984811
PMCPMC5420491

What OpenQuestion holds

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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.