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| Autor(es): Mostrar menos - |
Rutz, Adriano
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Probst, Daniel
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Aguilar, Cesar
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Akiyama, Daniel Y.
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Alberti, Fabrizio
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Augustijn, Hannah E.
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Avalon, Nicole E.
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Beemelmanns, Christine
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Barbieri, Hellen Bertoletti
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Biermann, Friederike
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Bridge, Alan J.
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Giron, Esteban Charria
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Cox, Russell
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Crusemann, Max
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D'Agostino, Paul M.
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Feuermann, Marc
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Gerke, Jennifer
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Garcia, Karina Gutierrez
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Holme, Jonathan E.
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Hwang, Ji-Yeon
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Iacovelli, Riccardo
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Jeronimo Barbosa, Julio Cesar
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Kaur, Navneet
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Klapper, Martin
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Kohler, Anna M.
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Korenskaia, Aleksandra
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Kubach, Noel
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Lee, Byung T.
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Loureiro, Catarina
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Mantri, Shrikant
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Narula, Simran
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Meijer, David
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Navarro-Munoz, Jorge C.
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Nguyen, Giang-Son
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Paliyal, Sunaina
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Panghal, Mohit
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Rao, Latika
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Sieber, Simon
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Sokolova, Nika
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Sowa, Sven T.
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Szenei, Judit
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Terlouw, Barbara R.
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Weddeling, Heiner G.
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Yu, Jingwei
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Ziemert, Nadine
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Weber, Tilmann
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Blin, Kai
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van der Hooft, Justin J. J.
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Medema, Marnix H.
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Zdouc, Mitja M.
Número total de Autores: 50
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| Tipo de documento: | Artigo Científico |
| Fonte: | Nucleic Acids Research; v. N/A, p. 8-pg., 2025-09-26. |
| Resumo | |
Secondary or specialized metabolites show extraordinary structural diversity and potent biological activities relevant for clinical and industrial applications. The biosynthesis of these metabolites usually starts with the assembly of a core 'scaffold', which is subsequently modified by tailoring enzymes to define the molecule's final structure and, in turn, its biological activity profile. Knowledge about reaction and substrate specificity of tailoring enzymes is essential for understanding and computationally predicting metabolite biosynthesis, but this information is usually scattered in the literature. Here, we present MITE, the Minimum Information about a Tailoring Enzyme database. MITE employs a comprehensive set of parameters to annotate tailoring enzymes, defining substrate and reaction specificity by the expressive reaction SMARTS (Simplified Molecular Input Line Entry System Arbitrary Target Specification) chemical pattern language. Both human and machine readable, MITE can be used as a knowledge base, for in silico biosynthesis, or to train machine-learning applications, and tightly integrates with existing resources. Designed as a community-driven and open resource, MITE employs a rolling release model of data curation and expert review. MITE is freely accessible at https://mite.bioinformatics.nl/. (AU) | |
| Processo FAPESP: | 23/06874-4 - Decifrando o papel de metabólitos secundários na interação química entre fitopatógenos e o hospedeiro citros |
| Beneficiário: | Júlio César Jerônimo Barbosa |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 21/08947-3 - Avaliação química da interação patógeno-hospedeiro da Doença Huanglongbing |
| Beneficiário: | Hellen Bertoletti Barbieri |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |
| Processo FAPESP: | 21/07038-0 - Investigação química e molecular do papel dos produtos naturais nas interações biológicas entre Penicillium brasilianum e seus hospedeiros |
| Beneficiário: | Daniel Yuri Akiyama |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |