MIBiG 4.0: Advancing Biosynthetic Gene Cluster Curation
Author Information
Author(s): Zdouc Mitja, Blin Kai, Louwen Nico, Navarro Jorge, Loureiro Catarina, Bader Chantal D, Bailey Constance B, Barra Lena, Booth Thomas J, Bozhüyük Kenan A J, Cediel-Becerra José D D, Charlop-Powers Zachary, Chevrette Marc G, Chooi Yit Heng, D’Agostino Paul M, de Rond Tristan, Del Pup Elena, Duncan Katherine R, Gu Wenjia, Hanif Novriyandi, Helfrich Eric J N, Jenner Matthew, Katsuyama Yohei, Korenskaia Aleksandra, Krug Daniel, Libis Vincent, Lund George A, Mantri Shrikant, Morgan Kalindi D, Owen Charlotte, Phan Chin-Soon, Philmus Benjamin, Reitz Zachary L, Robinson Serina L, Singh Kumar Saurabh, Teufel Robin, Tong Yaojun, Tugizimana Fidele, Ulanova Dana, Winter Jaclyn M
Primary Institution: Wageningen University & Research
Hypothesis
How can the curation of biosynthetic gene clusters be improved through community collaboration?
Conclusion
MIBiG 4.0 significantly enhances the curation of biosynthetic gene clusters by involving a large community of contributors and implementing a new peer-review model.
Supporting Evidence
- 267 contributors performed 8304 edits, creating 557 new entries and modifying 590 existing entries.
- MIBiG now contains a total of 3059 curated entries.
- High data quality was ensured through automated validation and a new peer-review model.
Takeaway
A group of scientists worked together to improve a database that helps researchers find information about natural products made by living things. They added a lot of new entries and made sure the information is accurate.
Methodology
The study involved community-driven annotation sessions where contributors created and modified entries in the MIBiG database, followed by a peer-review process to ensure data quality.
Limitations
Some entries still lack chemical structures, and the database only describes a part of the known biosynthetic space.
Participant Demographics
Contributors were from 33 countries, indicating a diverse international collaboration.
Digital Object Identifier (DOI)
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