Evidence map›Paper›PMID 34278794›Full record

ArticleJournal of chemical information and modeling2021

AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings.

Jerome Eberhardt, Diogo Santos-Martins, Andreas F Tillack, Stefano Forli

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,959 papers.

0numbers the graph read from it
0cells of the map it votes in
2,959citing 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

2,959 citing papers in PubMed.

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  7. Characterization of a CYP107 family vitamin DArchives of biochemistry and biophysics · 2026
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2,899 more citing papers are in PubMed but not listed here.

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

4 authors.

Jerome EberhardtDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, 92037 California, United States.
Diogo Santos-MartinsDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, 92037 California, United States.ORCID 0000-0003-4622-3747
Andreas F TillackDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, 92037 California, United States.ORCID 0000-0002-1832-3030
Stefano ForliDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, 92037 California, United States.ORCID 0000-0002-5964-7111

Funding

AutoDock Suite: Next Generation Environment for Drug DesignR01GM069832 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI FORLI, STEFANO · 2004 to 2025
$10.9M
NIGMS NIH HHS R01 GM069832
6 · The paper itself

Abstract

AutoDock Vina is arguably one of the fastest and most widely used open-source programs for molecular docking. However, compared to other programs in the AutoDock Suite, it lacks support for modeling specific features such as macrocycles or explicit water molecules. Here, we describe the implementation of this functionality in AutoDock Vina 1.2.0. Additionally, AutoDock Vina 1.2.0 supports the AutoDock4.2 scoring function, simultaneous docking of multiple ligands, and a batch mode for docking a large number of ligands. Furthermore, we implemented Python bindings to facilitate scripting and the development of docking workflows. This work is an effort toward the unification of the features of the AutoDock4 and AutoDock Vina programs. The source code is available at https://github.com/ccsb-scripps/AutoDock-Vina.

Indexed as

BoidaeAnimalsLigandsMolecular Docking SimulationSoftwareLigands

Identifiers

PMID34278794
PMCPMC10683950

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.