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. 2023 Jan 6;51(D1):D603-D610.
doi: 10.1093/nar/gkac1049.

MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters

Barbara R Terlouw  1 Kai Blin  2 Jorge C Navarro-Muñoz  1   3 Nicole E Avalon  4 Marc G Chevrette  5 Susan Egbert  6 Sanghoon Lee  7 David Meijer  1 Michael J J Recchia  7 Zachary L Reitz  1 Jeffrey A van Santen  7   8 Nelly Selem-Mojica  9 Thomas Tørring  10 Liana Zaroubi  7 Mohammad Alanjary  1 Gajender Aleti  11 César Aguilar  12 Suhad A A Al-Salihi  13 Hannah E Augustijn  1   14 J Abraham Avelar-Rivas  15 Luis A Avitia-Domínguez  14   15 Francisco Barona-Gómez  14   15 Jordan Bernaldo-Agüero  16 Vincent A Bielinski  17 Friederike Biermann  1   18   19 Thomas J Booth  2   20 Victor J Carrion Bravo  14   21   22 Raquel Castelo-Branco  23   24 Fernanda O Chagas  25 Pablo Cruz-Morales  2 Chao Du  14 Katherine R Duncan  26 Athina Gavriilidou  27   28 Damien Gayrard  29 Karina Gutiérrez-García  30 Kristina Haslinger  31 Eric J N Helfrich  18   19 Justin J J van der Hooft  1   32 Afif P Jati  33 Edward Kalkreuter  34 Nikolaos Kalyvas  3 Kyo Bin Kang  35 Satria Kautsar  34 Wonyong Kim  36 Aditya M Kunjapur  37 Yong-Xin Li  38 Geng-Min Lin  39 Catarina Loureiro  40 Joris J R Louwen  1 Nico L L Louwen  1 George Lund  41 Jonathan Parra  42   43   44 Benjamin Philmus  45 Bita Pourmohsenin  27   28 Lotte J U Pronk  1 Adriana Rego  23   46 Devasahayam Arokia Balaya Rex  47 Serina Robinson  48 L Rodrigo Rosas-Becerra  14   15 Eve T Roxborough  49 Michelle A Schorn  40 Darren J Scobie  26 Kumar Saurabh Singh  1 Nika Sokolova  31 Xiaoyu Tang  50 Daniel Udwary  51 Aruna Vigneshwari  52 Kristiina Vind  53   54 Sophie P J M Vromans  1 Valentin Waschulin  55 Sam E Williams  56 Jaclyn M Winter  57 Thomas E Witte  58 Huali Xie  1   59 Dong Yang  60 Jingwei Yu  61 Mitja Zdouc  1 Zheng Zhong  40 Jérôme Collemare  3 Roger G Linington  7 Tilmann Weber  2 Marnix H Medema  1   14
Affiliations

MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters

Barbara R Terlouw et al. Nucleic Acids Res. .

Abstract

With an ever-increasing amount of (meta)genomic data being deposited in sequence databases, (meta)genome mining for natural product biosynthetic pathways occupies a critical role in the discovery of novel pharmaceutical drugs, crop protection agents and biomaterials. The genes that encode these pathways are often organised into biosynthetic gene clusters (BGCs). In 2015, we defined the Minimum Information about a Biosynthetic Gene cluster (MIBiG): a standardised data format that describes the minimally required information to uniquely characterise a BGC. We simultaneously constructed an accompanying online database of BGCs, which has since been widely used by the community as a reference dataset for BGCs and was expanded to 2021 entries in 2019 (MIBiG 2.0). Here, we describe MIBiG 3.0, a database update comprising large-scale validation and re-annotation of existing entries and 661 new entries. Particular attention was paid to the annotation of compound structures and biological activities, as well as protein domain selectivities. Together, these new features keep the database up-to-date, and will provide new opportunities for the scientific community to use its freely available data, e.g. for the training of new machine learning models to predict sequence-structure-function relationships for diverse natural products. MIBiG 3.0 is accessible online at https://mibig.secondarymetabolites.org/.

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Figures

Graphical Abstract
Graphical Abstract
MIBiG version 3.0 provides an updated database of experimentally characterized biosynthetic gene clusters. It includes 661 new entries, as well as new structures, bioactivities and enzyme domain substrate specificities.
Figure 1.
Figure 1.
Overview of MIBiG 3.0. (A) Added, removed and updated entries since MIBiG 2.0. (B) Improvements in the annotation of compounds, bioactivities, molecular targets and NRPS domain substrates.
Figure 2.
Figure 2.
Similarity network of annotated NRPS substrates. Each node represents one of 274 unique NRPS substrate structures in MIBiG 3.0. Colours indicate substrate categories, and node size correlates with the number of annotations for that substrate in the MIBiG database. Substrates were clustered based on Tanimoto similarity of ECFP-4 molecular fingerprints (25) (edge cut-off = 0.46).

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