Evidence map›Paper›PMID 30946779›Full record

ArticleJournal of chemical information and modeling2019

MedusaDock 2.0: Efficient and Accurate Protein-Ligand Docking With Constraints.

Jian Wang, Nikolay V Dokholyan

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Unified protein-small molecule graph neural networks for binding site prediction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Multimodal Bond Reconstruction toward Generative Molecular Design.Journal of chemical information and modeling · 2026
    Article
  8. Article
  9. Article
  10. From AI-AssistedPharmaceuticals (Basel, Switzerland) · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. DockOpt: A Tool for Automatic Optimization of Docking Models.Journal of chemical information and modeling · 2024
    Article
  19. Recent Deep Learning Applications to Structure-Based Drug Design.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  20. Deciphering the Mechanistic Basis for Perfluoroalkyl-Protein Interactions.Chembiochem : a European journal of chemical biology · 2023
    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

2 authors.

Jian WangDepartment of Pharmacology , Penn State University College of Medicine , Hershey , Pennsylvania 17033 , United States.ORCID 0000-0001-7768-2802
Nikolay V DokholyanDepartment of Pharmacology , Penn State University College of Medicine , Hershey , Pennsylvania 17033 , United States.ORCID 0000-0002-8225-4025

Funding

Retroviral Genomic RNA Dimer Structure and FunctionR01GM064803 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2002 to 2016
$3.7M
Engineering allostery for in vivo protein controlR01GM123247 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOKHOLYAN, NIKOLAY · 2017 to 2019
$1.5M
Integrating cheminformatics and molecular simulations for virtual drug screeningR01GM114015 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOKHOLYAN, NIKOLAY · 2016 to 2019
$1.1M
NIGMS NIH HHS R01 GM064803NIGMS NIH HHS R01 GM114015NIGMS NIH HHS R01 GM123247
6 · The paper itself

Abstract

Molecular docking is the key ingredient of virtual drug screening, a promising and cost-effective approach for finding new drugs. A critical limitation of this approach is the inadequate sampling efficiency of both ligand and/or receptor conformations for finding the lowest energy bound state. To circumvent this limitation, we develop a protein-ligand docking methodology capable of incorporating structural constraints, experimentally derived or theoretically predicted, to improve accuracy and efficiency. We develop a web server with a user-friendly online graphical interface as a platform for accurate and efficient protein-ligand molecule docking.

Indexed as

Molecular Docking SimulationSoftwareAlgorithmsDatabases, ProteinDrug DesignDrug DiscoveryHumansLigandsProtein BindingProteinsThermodynamicsUser-Computer InterfaceLigandsProteins

Identifiers

PMID30946779
PMCPMC6597311

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.