Abstract
Polyketides are secondary metabolites of microorganisms with diverse biological activities, including pharmacological functions such as antibiotic, antitumor and agrochemical properties. Polyketides are synthesized by serialized reactions of a set of enzymes called polyketide synthase(PKS)s, which coordinate the elongation of carbon skeletons by the stepwise condensation of short carbon precursors. Due to their importance as drugs, the volume of data on polyketides is rapidly increasing and creating a need for computational analysis methods for efficient polyketide research. Moreover, the increasing use of genetic engineering to research new kinds of polyketides requires genome wide analysis. We describe a system named ASMPKS (Analysis System for Modular Polyketide Synthesis) for computational analysis of PKSs against genome sequences. It also provides overall management of information on modular PKS, including polyketide database construction, new PKS assembly, and chain visualization. ASMPKS operates on a web interface to construct the database and to analyze PKSs, allowing polyketide researchers to add their data to this database and to use it easily. In addition, the ASMPKS can predict functional modules for a protein sequence submitted by users, estimate the chemical composition of a polyketide synthesized from the modules, and display the carbon chain structure on the web interface. ASMPKS has powerful computation features to aid modular PKS research. As various factors, such as starter units and post-processing, are related to polyketide biosynthesis, ASMPKS will be improved through further development for study of the factors.
MeSH Terms
Algorithms
Carbon/chemistry
Catalytic Domain
Computational Biology/methods
Computers
Genetic Engineering
Genome, Bacterial
Genomics/methods
Models, Biological
Models, Theoretical
Multienzyme Complexes/chemistry
Polyketide Synthases/chemistry,genetics
Software
Chemicals
Multienzyme Complexes
Carbon
Polyketide Synthases
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Tae Hongseok
Information Technology Institute, SmallSoft Co., Ltd., Jang-Dong 59-5, Yusung-Gu, Daejeon 305-343, South Korea. mbio94@naver.com
Kong Eun-Bae
Park Kiejung
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