Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

MDDB

General information

URL: https://mddbr.eu
Full name: Molecular Dynamics Data Bank
Description: MDDB compiles and organises all data generated by molecular dynamics simulations.It is engineered to be resilient to large systems and long trajectories, making it compatible with modern MD simulations and capable of handling non-Markovian ensembles of large systems.
Year founded: 2024
Last update: 2024-01-05
Version: v1.0
Accessibility:
Accessible
Country/Region: Spain

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Institute for Research in Biomedicine (IRB Barcelona)
Address:
City:
Province/State:
Country/Region: Spain
Contact name (PI/Team): Modesto Orozco
Contact email (PI/Helpdesk): modesto.orozco@irbbarcelona.org

Publications

37953362
A new paradigm for molecular dynamics databases: the COVID-19 database, the legacy of a titanic community effort. [PMID: 37953362]
Daniel Beltrán, Adam Hospital, Josep Lluís Gelpí, Modesto Orozco

Molecular dynamics (MD) simulations are keeping computers busy around the world, generating a huge amount of data that is typically not open to the scientific community. Pioneering efforts to ensure the safety and reusability of MD data have been based on the use of simple databases providing a limited set of standard analyses on single-short trajectories. Despite their value, these databases do not offer a true solution for the current community of MD users, who want a flexible analysis pipeline and the possibility to address huge non-Markovian ensembles of large systems. Here we present a new paradigm for MD databases, resilient to large systems and long trajectories, and designed to be compatible with modern MD simulations. The data are offered to the community through a web-based graphical user interface (GUI), implemented with state-of-the-art technology, which incorporates system-specific analysis designed by the trajectory providers. A REST API and associated Jupyter Notebooks are integrated into the platform, allowing fully customized meta-analysis by final users. The new technology is illustrated using a collection of trajectories obtained by the community in the context of the effort to fight the COVID-19 pandemic. The server is accessible at https://bioexcel-cv19.bsc.es/#/. It is free and open to all users and there are no login requirements. It is also integrated into the simulations section of the BioExcel-MolSSI COVID-19 Molecular Structure and Therapeutics Hub: https://covid.molssi.org/simulations/ and is part of the MDDB effort (https://mddbr.eu).

Nucleic Acids Res. 2024:52(D1) | 18 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
933/6895 (86.483%)
Structure:
119/967 (87.797%)
Interaction:
181/1194 (84.925%)
Health and medicine:
232/1738 (86.709%)
933
Total Rank
16
Citations
16
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2024-07-15
Curated by:
Wenzhuo Cheng [2024-08-23]
Shiting Wang [2024-07-23]
zheng luo [2024-07-15]