Literature DB >> 33152079

The antiSMASH database version 3: increased taxonomic coverage and new query features for modular enzymes.

Kai Blin1, Simon Shaw1, Satria A Kautsar2, Marnix H Medema2, Tilmann Weber1.   

Abstract

Microorganisms produce natural products that are frequently used in the development of antibacterial, antiviral, and anticancer drugs, pesticides, herbicides, or fungicides. In recent years, genome mining has evolved into a prominent method to access this potential. antiSMASH is one of the most popular tools for this task. Here, we present version 3 of the antiSMASH database, providing a means to access and query precomputed antiSMASH-5.2-detected biosynthetic gene clusters from representative, publicly available, high-quality microbial genomes via an interactive graphical user interface. In version 3, the database contains 147 517 high quality BGC regions from 388 archaeal, 25 236 bacterial and 177 fungal genomes and is available at https://antismash-db.secondarymetabolites.org/.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 33152079      PMCID: PMC7779067          DOI: 10.1093/nar/gkaa978

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  20 in total

Review 1.  In silico tools for the analysis of antibiotic biosynthetic pathways.

Authors:  Tilmann Weber
Journal:  Int J Med Microbiol       Date:  2014-02-19       Impact factor: 3.473

2.  Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019.

Authors:  David J Newman; Gordon M Cragg
Journal:  J Nat Prod       Date:  2020-03-12       Impact factor: 4.050

3.  Computational approaches to natural product discovery.

Authors:  Marnix H Medema; Michael A Fischbach
Journal:  Nat Chem Biol       Date:  2015-09       Impact factor: 15.040

4.  IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase.

Authors:  Krishnaveni Palaniappan; I-Min A Chen; Ken Chu; Anna Ratner; Rekha Seshadri; Nikos C Kyrpides; Natalia N Ivanova; Nigel J Mouncey
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

5.  Mash: fast genome and metagenome distance estimation using MinHash.

Authors:  Brian D Ondov; Todd J Treangen; Páll Melsted; Adam B Mallonee; Nicholas H Bergman; Sergey Koren; Adam M Phillippy
Journal:  Genome Biol       Date:  2016-06-20       Impact factor: 13.583

6.  antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification.

Authors:  Kai Blin; Thomas Wolf; Marc G Chevrette; Xiaowen Lu; Christopher J Schwalen; Satria A Kautsar; Hernando G Suarez Duran; Emmanuel L C de Los Santos; Hyun Uk Kim; Mariana Nave; Jeroen S Dickschat; Douglas A Mitchell; Ekaterina Shelest; Rainer Breitling; Eriko Takano; Sang Yup Lee; Tilmann Weber; Marnix H Medema
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

Review 7.  The secondary metabolite bioinformatics portal: Computational tools to facilitate synthetic biology of secondary metabolite production.

Authors:  Tilmann Weber; Hyun Uk Kim
Journal:  Synth Syst Biotechnol       Date:  2016-02-05

8.  The antiSMASH database version 2: a comprehensive resource on secondary metabolite biosynthetic gene clusters.

Authors:  Kai Blin; Victòria Pascal Andreu; Emmanuel L C de Los Santos; Francesco Del Carratore; Sang Yup Lee; Marnix H Medema; Tilmann Weber
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

9.  antiSMASH 2.0--a versatile platform for genome mining of secondary metabolite producers.

Authors:  Kai Blin; Marnix H Medema; Daniyal Kazempour; Michael A Fischbach; Rainer Breitling; Eriko Takano; Tilmann Weber
Journal:  Nucleic Acids Res       Date:  2013-06-03       Impact factor: 16.971

10.  Recent development of antiSMASH and other computational approaches to mine secondary metabolite biosynthetic gene clusters.

Authors:  Kai Blin; Hyun Uk Kim; Marnix H Medema; Tilmann Weber
Journal:  Brief Bioinform       Date:  2019-07-19       Impact factor: 11.622

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  24 in total

Review 1.  Strategies to access biosynthetic novelty in bacterial genomes for drug discovery.

Authors:  Franziska Hemmerling; Jörn Piel
Journal:  Nat Rev Drug Discov       Date:  2022-03-16       Impact factor: 84.694

2.  ActinoBase: tools and protocols for researchers working on Streptomyces and other filamentous actinobacteria.

Authors:  Morgan Anne Feeney; Jake Terry Newitt; Emily Addington; Lis Algora-Gallardo; Craig Allan; Lucas Balis; Anna S Birke; Laia Castaño-Espriu; Louise K Charkoudian; Rebecca Devine; Damien Gayrard; Jacob Hamilton; Oliver Hennrich; Paul A Hoskisson; Molly Keith-Baker; Joshua G Klein; Worarat Kruasuwan; David R Mark; Yvonne Mast; Rebecca E McHugh; Thomas C McLean; Elmira Mohit; John T Munnoch; Jordan Murray; Katie Noble; Hiroshi Otani; Jonathan Parra; Camila F Pereira; Louisa Perry; Linamaria Pintor-Escobar; Leighton Pritchard; Samuel M M Prudence; Alicia H Russell; Jana K Schniete; Ryan F Seipke; Nelly Sélem-Mojica; Agustina Undabarrena; Kristiina Vind; Gilles P van Wezel; Barrie Wilkinson; Sarah F Worsley; Katherine R Duncan; Lorena T Fernández-Martínez; Matthew I Hutchings
Journal:  Microb Genom       Date:  2022-07

3.  Evolutionary Genome Mining for the Discovery and Engineering of Natural Product Biosynthesis.

Authors:  Marc G Chevrette; Nelly Selem-Mojica; César Aguilar; Kristin Labby; Edder D Bustos-Diaz; Jo Handelsman; Francisco Barona-Gómez
Journal:  Methods Mol Biol       Date:  2022

4.  Sesbanimide R, a Novel Cytotoxic Polyketide Produced by Magnetotactic Bacteria.

Authors:  Ram Prasad Awal; Patrick A Haack; Chantal D Bader; Cornelius N Riese; Dirk Schüler; Rolf Müller
Journal:  mBio       Date:  2021-05-18       Impact factor: 7.867

5.  antiSMASH 6.0: improving cluster detection and comparison capabilities.

Authors:  Kai Blin; Simon Shaw; Alexander M Kloosterman; Zach Charlop-Powers; Gilles P van Wezel; Marnix H Medema; Tilmann Weber
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

6.  Differential response to prey quorum signals indicates predatory specialization of myxobacteria and ability to predate Pseudomonas aeruginosa.

Authors:  Shukria Akbar; Kayleigh E Phillips; Sandeep K Misra; Joshua S Sharp; D Cole Stevens
Journal:  Environ Microbiol       Date:  2021-10-21       Impact factor: 5.476

7.  Rhodococcus comparative genomics reveals a phylogenomic-dependent non-ribosomal peptide synthetase distribution: insights into biosynthetic gene cluster connection to an orphan metabolite.

Authors:  Agustina Undabarrena; Ricardo Valencia; Andrés Cumsille; Leonardo Zamora-Leiva; Eduardo Castro-Nallar; Francisco Barona-Gomez; Beatriz Cámara
Journal:  Microb Genom       Date:  2021-07

8.  The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota.

Authors:  Victòria Pascal Andreu; Jorge Roel-Touris; Dylan Dodd; Michael A Fischbach; Marnix H Medema
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

9.  A Machine Learning Bioinformatics Method to Predict Biological Activity from Biosynthetic Gene Clusters.

Authors:  Allison S Walker; Jon Clardy
Journal:  J Chem Inf Model       Date:  2021-05-27       Impact factor: 4.956

Review 10.  Microbial metabolites: cause or consequence in gastrointestinal disease?

Authors:  Serge Alain Fobofou; Tor Savidge
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2022-03-10       Impact factor: 4.871

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