Evidence map›Paper›PMID 32968887›Full record

ArticleJournal of computer-aided molecular design2021

Enhancing water sampling of buried binding sites using nonequilibrium candidate Monte Carlo.

Teresa Danielle Bergazin, Ido Y Ben-Shalom, Nathan M Lim, Sam C Gill, Michael K Gilson, David L Mobley

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. WaterKit: Thermodynamic Profiling of Protein Hydration Sites.Journal of chemical theory and computation · 2023
    Article
  10. Article
  11. Article
  12. Water Networks in Complexes between Proteins and FDA-Approved Drugs.Journal of chemical information and modeling · 2023
    Article
  13. Absolute Binding Free Energy Calculations for Buried Water Molecules.Journal of chemical theory and computation · 2022
    Article
  14. Article
  15. An overview of the SAMPL8 host-guest binding challenge.Journal of computer-aided molecular design · 2022
    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

6 authors.

Teresa Danielle BergazinDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697, USA.ORCID 0000-0002-0573-6178
Ido Y Ben-ShalomSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0002-7237-1690
Nathan M LimDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697, USA.ORCID 0000-0002-2075-5852
Sam C GillDepartment of Chemistry, University of California, Irvine, Irvine, CA, 92697, USA.ORCID 0000-0002-3743-3657
Michael K GilsonSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0002-3375-1738
David L MobleyDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697, USA. dmobley@mobleylab.org.ORCID 0000-0002-1083-5533

Funding

THEORY AND MODELING OF NONCOVALENT BINDINGR01GM061300 · NIGMS · UNIVERSITY OF MD BIOTECHNOLOGY INSTITUTE · PI GILSON, MICHAEL K. · 2000 to 2021
$7.2M
Accounting for Water Structure and Thermodynamics in Computer-Aided Drug DesignR01GM100946 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KURTZMAN, THOMAS PHILIP · 2013 to 2021
$2.7M
Computational alchemy for molecular design and optimizationR01GM108889 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2014 to 2022
$2.5M
Advancing predictive physical modeling through focused development of model systems to drive new modeling innovationsR01GM124270 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2018 to 2021
$1.5M
NIGMS NIH HHS R01 GM061300NIGMS NIH HHS R01 GM100946NIGMS NIH HHS R01 GM108889NIGMS NIH HHS R01 GM124270
6 · The paper itself

Abstract

Water molecules can be found interacting with the surface and within cavities in proteins. However, water exchange between bulk and buried hydration sites can be slow compared to simulation timescales, thus leading to the inefficient sampling of the locations of water. This can pose problems for free energy calculations for computer-aided drug design. Here, we apply a hybrid method that combines nonequilibrium candidate Monte Carlo (NCMC) simulations and molecular dynamics (MD) to enhance sampling of water in specific areas of a system, such as the binding site of a protein. Our approach uses NCMC to gradually remove interactions between a selected water molecule and its environment, then translates the water to a new region, before turning the interactions back on. This approach of gradual removal of interactions, followed by a move and then reintroduction of interactions, allows the environment to relax in response to the proposed water translation, improving acceptance of moves and thereby accelerating water exchange and sampling. We validate this approach on several test systems including the ligand-bound MUP-1 and HSP90 proteins with buried crystallographic waters removed. We show that our BLUES (NCMC/MD) method enhances water sampling relative to normal MD when applied to these systems. Thus, this approach provides a strategy to improve water sampling in molecular simulations which may be useful in practical applications in drug discovery and biomolecular design.

Indexed as

Binding SitesLigandsMolecular Dynamics SimulationMonte Carlo MethodProtein BindingProtein ConformationProteinsThermodynamicsWaterLigandsProteinsWaterBuried binding sitesBuried cavityBuried waterEnhanced samplingHeat Shock Protein 90Major Urinary ProteinMolecular Dynamics simulationsMonte CarloNCMCNonequilibrium candidate Monte CarloWater sampling

Identifiers

PMID32968887
PMCPMC7904576

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.