Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

BSM-Arc

General information

URL: https://bsma.pdbj.org
Full name: The Biological Structure Model Archive
Description: Biological Structure Model Archive collect raw data obtained via in silico methods related to structural biology, such as computationally modeled 3D structures and molecular dynamics trajectories.
Year founded: 2020
Last update: 2020
Version: 1
Accessibility:
Accessible
Country/Region: Japan

Classification & Tag

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

Contact information

University/Institution: Osaka University
Address: Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka 565-0871, Japan
City:
Province/State:
Country/Region: Japan
Contact name (PI/Team): Genji Kurisu
Contact email (PI/Helpdesk): gertjan.bekker@protein.osaka-u.ac.jp

Publications

32026396
The Biological Structure Model Archive (BSM-Arc): an archive for in silico models and simulations. [PMID: 32026396]
Gert-Jan Bekker, Takeshi Kawabata, Genji Kurisu

We present the Biological Structure Model Archive (BSM-Arc, https://bsma.pdbj.org), which aims to collect raw data obtained via in silico methods related to structural biology, such as computationally modeled 3D structures and molecular dynamics trajectories. Since BSM-Arc does not enforce a specific data format for the raw data, depositors are free to upload their data without any prior conversion. Besides uploading raw data, BSM-Arc enables depositors to annotate their data with additional explanations and figures. Furthermore, via our WebGL-based molecular viewer Molmil, it is possible to recreate 3D scenes as shown in the corresponding scientific article in an interactive manner. To submit a new entry, depositors require an ORCID ID to login, and to finally publish the data, an accompanying peer-reviewed paper describing the work must be associated with the entry. Submitting their data enables researchers to not only have an external backup but also provide an opportunity to promote their work via an interactive platform and to provide third-party researchers access to their raw data.

Biophys Rev. 2020:12(2) | 45 Citations (from Europe PMC, 2026-03-28)

Ranking

All databases:
1649/6932 (76.226%)
Raw bio-data:
120/587 (79.727%)
Structure:
218/972 (77.675%)
1649
Total Rank
44
Citations
7.333
z-index

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Record metadata

Created on: 2020-11-08
Curated by:
Lin Liu [2021-03-12]
zhu tong [2020-11-25]
zhu tong [2020-11-24]
Yitong Pan [2020-11-08]