Evidence map›Paper›PMID 31557013›Full record

ArticleJournal of chemical theory and computation2019

Ligand-Binding-Site Structure Refinement Using Molecular Dynamics with Restraints Derived from Predicted Binding Site Templates.

Hugo Guterres, Hui Sun Lee, Wonpil Im

Open access · greenAbstract 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Phosphatidylinositol transfer protein α binds microcolins in its open conformation.Acta crystallographica. Section D, Structural biology · 2026
    Article
  2. Review
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  4. Article
  5. CHARMM-GUIJournal of chemical information and modeling · 2021
    Article
  6. Article
  7. CHARMM-GUIJournal of chemical information and modeling · 2021
    Article
  8. Mining for Ligandable Cavities in RNA.ACS medicinal chemistry letters · 2021
    Article
  9. Article
  10. Article
  11. Structure of fish Toll-like receptors (TLR) and NOD-like receptors (NLR).International journal of biological macromolecules · 2020
    Review
  12. Article
  13. Exploring the computational methods for protein-ligand binding site prediction.Computational and structural biotechnology journal · 2020
    Review
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 at 2 institutions in 2 countries.

Hugo GuterresDepartment of Biological Sciences , Lehigh University , Bethlehem , Pennsylvania 18015 , United States.
Hui Sun LeeDepartment of Biological Sciences , Lehigh University , Bethlehem , Pennsylvania 18015 , United States.
Wonpil ImDepartment of Biological Sciences , Lehigh University , Bethlehem , Pennsylvania 18015 , United States.ORCID http://orcid.org/0000-0001-5642-6041
Lehigh University · USKorea Institute for Advanced Study · KR

Funding

Development of Computational Toolset for Structural Systems PharmacologyR01GM126140 · NIGMS · LEHIGH UNIVERSITY · PI IM, WONPIL · 2018 to 2020
$1.1M
NIGMS NIH HHS R01 GM126140
6 · The paper itself

Abstract

Accurate modeling of ligand-binding-site structures plays a critical role in structure-based virtual screening. However, the structures of the ligand-binding site in most predicted protein models are generally of low quality and need refinements. In this work, we present a ligand-binding-site structure refinement protocol using molecular dynamics simulation with restraints derived from predicted binding site templates. Our benchmark validation shows great performance for 40 diverse sets of proteins from the Astex list. The ligand-binding sites on modeled protein structures are consistently refined using our method with an average Cα RMSD improvement of 0.90 Å. Comparison of ligand binding modes from ligand docking to initial unrefined and refined structures shows an average of 1.97 Å RMSD improvement in the refined structures. These results demonstrate a promising new method of structure refinement for protein ligand-binding-site structures.

Indexed as

LigandsMolecular Docking SimulationBinding SitesProteinsProtein Structure, TertiaryLigandsProteins

Identifiers

PMID31557013
PMCPMC6884403
OpenAlexW2976291065

What OpenQuestion holds

Textmetadata
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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.