Assimilating Text-Mining & Bio-Informatics Tools to Analyze Cellulase structures

Text-mining is one of the best potential way of automatically extracting information from the huge biological literature. To exploit its prospective, the knowledge encrypted in the text should be converted to some semantic representation such as entities and relations, which could be analyzed by mac...

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Bibliographic Details
Published inIOP conference series. Materials Science and Engineering Vol. 225; no. 1; pp. 12162 - 12170
Main Authors Satyasree, K P N V, Lalitha Kumari, B, Jyotsna Devi, K S N V, Roy Choudri, S M, Pratap Joshi, K
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.08.2017
Subjects
amplification
Bacteria
Bioedit
Bioinformatics
Cellulase
computation
Data mining
Dextrose
Embossing
EMBOSSwin
Fungi
Information Extraction
Information Retrieval etc
isolation
PCR
Protparam
Pseudomonas putida
Quality standards
Swissport
Text mining
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Summary:Text-mining is one of the best potential way of automatically extracting information from the huge biological literature. To exploit its prospective, the knowledge encrypted in the text should be converted to some semantic representation such as entities and relations, which could be analyzed by machines. But large-scale practical systems for this purpose are rare. But text mining could be helpful for generating or validating predictions. Cellulases have abundant applications in various industries. Cellulose degrading enzymes are cellulases and the same producing bacteria - Bacillus subtilis & fungus Pseudomonas putida were isolated from top soil of Guntur Dt. A.P. India. Absolute cultures were conserved on potato dextrose agar medium for molecular studies. In this paper, we presented how well the text mining concepts can be used to analyze cellulase producing bacteria and fungi, their comparative structures are also studied with the aid of well-establised, high quality standard bioinformatic tools such as Bioedit, Swissport, Protparam, EMBOSSwin with which a complete data on Cellulases like structure, constituents of the enzyme has been obtained.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/225/1/012162