Gromacs MetaDump: a tool for extracting GROMACS simulation metadata

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F25%3A73633244" target="_blank" >RIV/61989592:15310/25:73633244 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14310/25:00142353

Výsledek na webu

<a href="https://link.springer.com/article/10.1186/s13321-025-01082-5" target="_blank" >https://link.springer.com/article/10.1186/s13321-025-01082-5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s13321-025-01082-5" target="_blank" >10.1186/s13321-025-01082-5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Gromacs MetaDump: a tool for extracting GROMACS simulation metadata

Popis výsledku v původním jazyce

The volume of molecular dynamics (MD) simulation data shared via public repositories is rapidly increasing; however, fragmentation across multiple independent repositories, each employing distinct dataset identifiers and metadata schemas, hinders the efficient exploration and reuse of these data. In this study, we present GROMACS MetaDump, a tool for automatic annotation of output files from GROMACS MD simulations producing human- and machine-readable metadata leveraging the native GROMACS metadata (gmx dump) output. The tool takes the run input simulation file (.tpr) as the basis for the metadata output, optionally extending it with annotations from topology and structure files (.top, .gro). The tool is available as a web application (https://gmd.ceitec.cz/), API service, and a command-line utility. By automating the metadata extraction process, GROMACS MetaDump aims to simplify and standardise the extraction of rich, structured metadata from GROMACS MD simulations, making it easier to share, discover, and reuse simulation data within the research community.Scientific contributionThis work introduces GROMACS MetaDump, a software tool for the automatic extraction of metadata from molecular dynamics (MD) simulations performed with GROMACS. GROMACS MetaDump captures all extractable simulation parameters, such as software version, force field, water model, box geometry, temperature, etc., and returns them in a structured JSON or YAML file. As a result, GROMACS MetaDump supports the creation of unified metadata annotations of MD simulations, making datasets indexable and findable in line with the FAIR principles.

Název v anglickém jazyce

Gromacs MetaDump: a tool for extracting GROMACS simulation metadata

Popis výsledku anglicky

The volume of molecular dynamics (MD) simulation data shared via public repositories is rapidly increasing; however, fragmentation across multiple independent repositories, each employing distinct dataset identifiers and metadata schemas, hinders the efficient exploration and reuse of these data. In this study, we present GROMACS MetaDump, a tool for automatic annotation of output files from GROMACS MD simulations producing human- and machine-readable metadata leveraging the native GROMACS metadata (gmx dump) output. The tool takes the run input simulation file (.tpr) as the basis for the metadata output, optionally extending it with annotations from topology and structure files (.top, .gro). The tool is available as a web application (https://gmd.ceitec.cz/), API service, and a command-line utility. By automating the metadata extraction process, GROMACS MetaDump aims to simplify and standardise the extraction of rich, structured metadata from GROMACS MD simulations, making it easier to share, discover, and reuse simulation data within the research community.Scientific contributionThis work introduces GROMACS MetaDump, a software tool for the automatic extraction of metadata from molecular dynamics (MD) simulations performed with GROMACS. GROMACS MetaDump captures all extractable simulation parameters, such as software version, force field, water model, box geometry, temperature, etc., and returns them in a structured JSON or YAML file. As a result, GROMACS MetaDump supports the creation of unified metadata annotations of MD simulations, making datasets indexable and findable in line with the FAIR principles.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10403 - Physical chemistry

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Cheminformatics

ISSN

1758-2946

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

"160-1"-"160-10"

Kód UT WoS článku

001598802000001

EID výsledku v databázi Scopus

2-s2.0-105019521041