Evidence map›Paper›PMID 29394043›Full record

ArticleBiochemistry2018

Ligand Binding Pathways and Conformational Transitions of the HIV Protease.

Yinglong Miao, Yu-Ming M Huang, Ross C Walker, J Andrew McCammon, Chia-En A Chang

Abstract read
In one paragraph

Article in Biochemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Accelerating Molecular Dynamics Simulations for Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. Article
  7. Predicting Biomolecular Binding Kinetics: A Review.Journal of chemical theory and computation · 2023
    Review
  8. Article
  9. Exact reaction coordinates for flap opening in HIV-1 protease.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Evolving Experimental Techniques for Structure-Based Drug Design.The journal of physical chemistry. B · 2022
    Review
  11. Article
  12. Article
  13. Mechanism of RNA recognition by a Musashi RNA-binding protein.Current research in structural biology · 2022
    Review
  14. Molecular Modeling of ABHD5 Structure and Ligand Recognition.Frontiers in molecular biosciences · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

5 authors.

Yinglong MiaoCenter for Computational Biology and Department of Molecular Biosciences , University of Kansas , Lawrence , Kansas 66047 , United States.ORCID 0000-0003-3714-1395
Yu-Ming M HuangDepartment of Pharmacology , University of California at San Diego , La Jolla , California 92093 , United States.
Ross C WalkerSan Diego Supercomputer Center , University of California at San Diego , La Jolla , California 92093 , United States.
J Andrew McCammonDepartment of Pharmacology , University of California at San Diego , La Jolla , California 92093 , United States.
Chia-En A ChangDepartment of Chemistry , University of California, Riverside , Riverside , California 92521 , United States.

Funding

National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
Next-Generation GPU Computing Resource for Simulating Ligand-Protein Binding Kinetics/MechanismR01GM109045 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CHANG, CHIA-EN · 2014 to 2023
$2.8M
NIGMS NIH HHS P41 GM103426NIGMS NIH HHS R01 GM031749NIGMS NIH HHS R01 GM109045
6 · The paper itself

Abstract

It is important to determine the binding pathways and mechanisms of ligand molecules to target proteins to effectively design therapeutic drugs. Molecular dynamics (MD) is a promising computational tool that allows us to simulate protein-drug binding at an atomistic level. However, the gap between the time scales of current simulations and those of many drug binding processes has limited the usage of conventional MD, which has been reflected in studies of the HIV protease. Here, we have applied a robust enhanced simulation method, Gaussian accelerated molecular dynamics (GaMD), to sample binding pathways of the XK263 ligand and associated protein conformational changes in the HIV protease. During two of 10 independent GaMD simulations performed over 500-2500 ns, the ligand was observed to successfully bind to the protein active site. Although GaMD-derived free energy profiles were not fully converged because of insufficient sampling of the complex system, the simulations still allowed us to identify relatively low-energy intermediate conformational states during binding of the ligand to the HIV protease. Relative to the X-ray crystal structure, the XK263 ligand reached a minimum root-mean-square deviation (RMSD) of 2.26 Å during 2.5 μs of GaMD simulation. In comparison, the ligand RMSD reached a minimum of only ∼5.73 Å during an earlier 14 μs conventional MD simulation. This work highlights the enhanced sampling power of the GaMD approach and demonstrates its wide applicability to studies of drug-receptor interactions for the HIV protease and by extension many other target proteins.

Indexed as

Catalytic DomainCrystallography, X-RayHIV ProteaseLigandsModels, ChemicalMolecular Dynamics SimulationProtein ConformationThermodynamicsHIV ProteaseLigands

Identifiers

PMID29394043
PMCPMC5915299

What OpenQuestion holds

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LicenceTDM
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.