Evidence map›Paper›PMID 24931227›Full record

ArticleJournal of chemical information and modeling2014

AutoDock4(Zn): an improved AutoDock force field for small-molecule docking to zinc metalloproteins.

Diogo Santos-Martins, Stefano Forli, Maria João Ramos, Arthur J Olson

Open access · bronzeAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed
16.6field-weighted citation impact, top 1% 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

123 citing papers in PubMed, 287 citations in OpenAlex.

  1. Article
  2. Robots and Minimal, Physics-Informed Features: A Hybrid Framework for Enzyme Catalysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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63 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 at 2 institutions in 2 countries.

Diogo Santos-MartinsDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute , La Jolla, California 92037, United States.
Stefano Forli
Maria João Ramos
Arthur J Olson
Rede de Química e Tecnologia · PTScripps Research Institute · US

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 GM069832NIGMS NIH HHS R01-GM069832-01
6 · The paper itself

Abstract

Zinc is present in a wide variety of proteins and is important in the metabolism of most organisms. Zinc metalloenzymes are therapeutically relevant targets in diseases such as cancer, heart disease, bacterial infection, and Alzheimer's disease. In most cases a drug molecule targeting such enzymes establishes an interaction that coordinates with the zinc ion. Thus, accurate prediction of the interaction of ligands with zinc is an important aspect of computational docking and virtual screening against zinc containing proteins. We have extended the AutoDock force field to include a specialized potential describing the interactions of zinc-coordinating ligands. This potential describes both the energetic and geometric components of the interaction. The new force field, named AutoDock4Zn, was calibrated on a data set of 292 crystal complexes containing zinc. Redocking experiments show that the force field provides significant improvement in performance in both free energy of binding estimation as well as in root-mean-square deviation from the crystal structure pose. The new force field has been implemented in AutoDock without modification to the source code.

Indexed as

Molecular Docking SimulationSoftwareBinding SitesCoordination ComplexesCrystallography, X-RayHumansLigandsMetalloproteinsMolecular Dynamics SimulationProtein BindingProtein Structure, SecondaryProtein Structure, TertiaryStatic ElectricityStructure-Activity RelationshipThermodynamicsZincCoordination ComplexesLigandsMetalloproteinsZinc

Identifiers

PMID24931227
PMCPMC4144784
OpenAlexW2039366858

What OpenQuestion holds

Textmetadata
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.