Evidence map›Paper›PMID 30835999›Full record

ArticleJournal of chemical theory and computation2019

Simulating Water Exchange to Buried Binding Sites.

Ido Y Ben-Shalom, Charles Lin, Tom Kurtzman, Ross C Walker, Michael K Gilson

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Assignment of a Physical Energy Scale for the Dimensionless Interaction Energies within the PRIME20 Peptide Model.Chemphyschem : a European journal of chemical physics and physical chemistry · 2024
    Article
  6. Investigating the Regulation of Ribosomal Protein S6 Kinase 1 by CoAlation.International journal of molecular sciences · 2024
    Article
  7. Free Energy Density of a Fluid and Its Role in Solvation and Binding.Journal of chemical theory and computation · 2024
    Article
  8. Review
  9. Article
  10. WaterKit: Thermodynamic Profiling of Protein Hydration Sites.Journal of chemical theory and computation · 2023
    Article
  11. Article
  12. Article
  13. Water Networks in Complexes between Proteins and FDA-Approved Drugs.Journal of chemical information and modeling · 2023
    Article
  14. Functional Water Networks in Fully Hydrated Photosystem II.Journal of the American Chemical Society · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  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.

Ido Y Ben-ShalomSkaggs School of Pharmacy and Pharmaceutical Sciences , University of California, San Diego , La Jolla , California 92093 , United States.ORCID http://orcid.org/0000-0002-7237-1690
Charles LinDepartment of Chemistry and Biochemistry , University of California, San Diego , La Jolla , California 92093 , United States.ORCID http://orcid.org/0000-0002-5461-6690
Tom KurtzmanDepartment of Chemistry , Lehman College, The City University of New York , 250 Bedford Park Boulevard West , Bronx , New York 10468 , United States.ORCID http://orcid.org/0000-0003-0900-772X
Ross C WalkerDepartment of Chemistry and Biochemistry , University of California, San Diego , La Jolla , California 92093 , United States.
Michael K GilsonSkaggs School of Pharmacy and Pharmaceutical Sciences , University of California, San Diego , La Jolla , California 92093 , United States.ORCID http://orcid.org/0000-0002-3375-1738

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
NIGMS NIH HHS R01 GM061300NIGMS NIH HHS R01 GM100946
6 · The paper itself

Abstract

Traditional molecular dynamics (MD) simulations of proteins, which relies on integration of Newton's equations of motion, cannot efficiently equilibrate water occupancy for buried cavities in proteins. This leads to slow convergence of thermodynamic averages for such systems. We have addressed this challenge by efficiently integrating standard Metropolis Monte Carlo (MC) translational water moves with MD in the AMBER simulation package. The translational moves allow water to easily enter or exit buried sites in a thermodynamically correct way during a simulation. To maximize efficiency, the algorithm avoids moves that only interchange waters within the bulk around the protein instead focusing on moves that can transfer water between bulk and the protein interior. In addition, a steric grid allows avoidance of moves that would lead to obvious steric clashes, and a fast grid-based energy evaluation is used to reduce the number of expensive full energy calculations. The potential energy distribution produced using MC/MD was found to be statistically indistinguishable from that of control simulations using only MD, and the algorithm effectively equilibrated water across steric barriers and into binding pockets that are not accessible with pure MD. The MC/MD method introduced here should be of increasing utility for applications spanning protein folding, the elucidation of protein mechanisms, and free energy calculations for computer-aided drug design. It is available in version 18 release of the widely disseminated AMBER simulation package.

Indexed as

Molecular Dynamics SimulationBinding SitesMonte Carlo MethodProtein ConformationProteinsThermodynamicsWaterProteinsWater

Identifiers

PMID30835999
PMCPMC6456390

What OpenQuestion holds

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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 OpenQuestion graph.