MIBiG 4.0: Advancing Biosynthetic Gene Cluster Curation
Author Information
Author(s): Zdouc Mitja, Blin Kai, Louwen Nico L L, 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
Conclusion
MIBiG 4.0 significantly enhances the curation and accessibility of biosynthetic gene clusters through community collaboration and improved data standards.
Supporting Evidence
- MIBiG 4.0 includes 3059 curated entries, a 22% increase from the previous version.
- 267 contributors performed 8304 edits during the community annotation sessions.
- The new peer-review model enhances the quality and confidence of the entries in the database.
Takeaway
This study shows how scientists worked together to improve a database that helps us understand how certain natural products are made by living organisms.
Methodology
The study involved a large-scale community curation effort where contributors created and modified entries in the MIBiG database during online annotation sessions.
Limitations
Some entries still lack chemical structures, indicating a need for further improvement in this area.
Participant Demographics
Contributors included 267 researchers from various countries, participating in community-driven annotation sessions.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website