Recent development of computational resources for new antibiotics discovery

Cited 6 time in webofscience Cited 0 time in scopus
  • Hit : 97
  • Download : 0
Understanding a complex working mechanism of biosynthetic gene clusters (BGCs) encoding secondary metabolites is a key to discovery of new antibiotics. Computational resources continue to be developed in order to better process increasing volumes of genome and chemistry data, and thereby better understand BGCs. In this context, this review highlights recent advances in computational resources for secondary metabolites with emphasis on genome mining, compound identification and dereplication as well as databases. We also introduce an updated version of Secondary Metabolite Bioinformatics Portal (SMBP; http://www.secondarymetabolites.org), which we previously released as a curated gateway to all the computational tools and databases useful for discovery and engineering of secondary metabolites.
Publisher
CURRENT BIOLOGY LTD
Issue Date
2017-10
Language
English
Article Type
Review
Keywords

BIOSYNTHETIC GENE CLUSTERS; MICROORGANISM STREPTOMYCES-AVERMITILIS; INFORMATIC SEARCH ALGORITHM; COMPLETE GENOME SEQUENCE; NATURAL-PRODUCTS; NONRIBOSOMAL PEPTIDES; SECONDARY METABOLITES; CHEMICAL-STRUCTURES; MICROBIAL GENOMES; PREDICTION

Citation

CURRENT OPINION IN MICROBIOLOGY, v.39, pp.113 - 120

ISSN
1369-5274
DOI
10.1016/j.mib.2017.10.027
URI
http://hdl.handle.net/10203/238842
Appears in Collection
CBE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 6 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0