Evidence map›Paper›PMID 39436011›Full record

ArticleJournal of chemical information and modeling2024

CosolvKit: a Versatile Tool for Cosolvent MD Preparation and Analysis.

Niccolo' Bruciaferri, Jerome Eberhardt, Manuel A Llanos, Johannes R Loeffler, Matthew Holcomb, Monica L Fernandez-Quintero, Diogo Santos-Martins, Andrew B Ward, Stefano Forli

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Niccolo' BruciaferriDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, California 92037, United States.
Jerome EberhardtDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, California 92037, United States.
Manuel A LlanosDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, California 92037, United States.ORCID 0000-0002-9120-4951
Johannes R LoefflerDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, California 92037, United States.
Matthew HolcombDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, California 92037, United States.ORCID 0000-0002-8409-4344
Monica L Fernandez-QuinteroDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, California 92037, United States.ORCID 0000-0002-6811-6283
Diogo Santos-MartinsDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, California 92037, United States.ORCID 0000-0003-4622-3747
Andrew B WardDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, California 92037, United States.
Stefano ForliDepartment of Integrative Structural and Computational Biology, Scripps Research, La Jolla, California 92037, 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
Resource for Structure-based Computational Drug Discovery and Design (RSD3)R24GM145962 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI Stefano Forli · 2022 to 2026
$5.7M
NIGMS NIH HHS R01 GM069832NIGMS NIH HHS R24 GM145962
6 · The paper itself

Abstract

Cosolvent molecular dynamics (MDs) are an increasingly popular form of simulations where small molecule cosolvents are added to water-solvated protein systems. These simulations can perform diverse target characterization tasks, including cryptic and allosteric pocket identification and pharmacophore profiling and supplement suites of enhanced sampling methods to explore protein conformational landscapes. The behavior of these systems is tied to the cosolvents used, so the ability to define diverse and complex mixtures is critical in dictating the outcome of the simulations. However, existing methods for preparing cosolvent simulations only support a limited number of predefined cosolvents and concentrations. Here, we present CosolvKit, a tool for the preparation and analysis of systems composed of user-defined cosolvents and concentrations. This tool is modular, supporting the creation of files for multiple MD engines, as well as direct access to OpenMM simulations, and offering access to a variety of generalizable small-molecule force fields. To the best of our knowledge, CosolvKit represents the first generalized approach for the construction of these simulations.

Indexed as

Molecular Dynamics SimulationSolventsProtein ConformationProteinsSoftwareProteinsSolvents

Identifiers

PMID39436011
PMCPMC12810578

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.