Suppr超能文献

生物结构模型存档库(BSM-Arc):一个用于计算机模拟模型和仿真的存档库。

The Biological Structure Model Archive (BSM-Arc): an archive for in silico models and simulations.

作者信息

Bekker Gert-Jan, Kawabata Takeshi, Kurisu Genji

机构信息

Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.

出版信息

Biophys Rev. 2020 Apr;12(2):371-375. doi: 10.1007/s12551-020-00632-5. Epub 2020 Feb 5.

Abstract

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.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64fb/7242595/a50f6964e015/12551_2020_632_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验