AntiSMASH 6.0: Improving cluster detection and comparison capabilities

TY - JOUR

T1 - AntiSMASH 6.0

T2 - Improving cluster detection and comparison capabilities

AU - Blin, Kai

AU - Shaw, Simon

AU - Kloosterman, Alexander M.

AU - Charlop-Powers, Zach

AU - Van Wezel, Gilles P.

AU - Medema, Marnix H.

AU - Weber, Tilmann

N1 - 7255, ME; Data archiving: no data

PY - 2021/7/2

Y1 - 2021/7/2

N2 - Many microorganisms produce natural products that form the basis of antimicrobials, antivirals, and other drugs. Genome mining is routinely used to complement screening-based workflows to discover novel natural products. Since 2011, the "antibiotics and secondary metabolite analysis shell - antiSMASH"(https://antismash.secondarymetabolites.org/) has supported researchers in their microbial genome mining tasks, both as a free-to-use web server and as a standalone tool under an OSI-approved open-source license. It is currently the most widely used tool for detecting and characterising biosynthetic gene clusters (BGCs) in bacteria and fungi. Here, we present the updated version 6 of antiSMASH. antiSMASH 6 increases the number of supported cluster types from 58 to 71, displays the modular structure of multi-modular BGCs, adds a new BGC comparison algorithm, allows for the integration of results from other prediction tools, and more effectively detects tailoring enzymes in RiPP clusters.

AB - Many microorganisms produce natural products that form the basis of antimicrobials, antivirals, and other drugs. Genome mining is routinely used to complement screening-based workflows to discover novel natural products. Since 2011, the "antibiotics and secondary metabolite analysis shell - antiSMASH"(https://antismash.secondarymetabolites.org/) has supported researchers in their microbial genome mining tasks, both as a free-to-use web server and as a standalone tool under an OSI-approved open-source license. It is currently the most widely used tool for detecting and characterising biosynthetic gene clusters (BGCs) in bacteria and fungi. Here, we present the updated version 6 of antiSMASH. antiSMASH 6 increases the number of supported cluster types from 58 to 71, displays the modular structure of multi-modular BGCs, adds a new BGC comparison algorithm, allows for the integration of results from other prediction tools, and more effectively detects tailoring enzymes in RiPP clusters.

KW - international

KW - Plan_S-Compliant-OA

U2 - 10.1093/nar/gkab335

DO - 10.1093/nar/gkab335

M3 - Article

C2 - 33978755

AN - SCOPUS:85109176547

SN - 0305-1048

VL - 49

SP - W29-W35

JO - Nucleic Acids Research

JF - Nucleic Acids Research

IS - W1

ER -