Unknown

Dataset Information

Mining of Microbial Genomes for the Novel Sources of Nitrilases.


ABSTRACT: Next-generation DNA sequencing (NGS) has made it feasible to sequence large number of microbial genomes and advancements in computational biology have opened enormous opportunities to mine genome sequence data for novel genes and enzymes or their sources. In the present communication in silico mining of microbial genomes has been carried out to find novel sources of nitrilases. The sequences selected were analyzed for homology and considered for designing motifs. The manually designed motifs based on amino acid sequences of nitrilases were used to screen 2000 microbial genomes (translated to proteomes). This resulted in identification of one hundred thirty-eight putative/hypothetical sequences which could potentially code for nitrilase activity. In vitro validation of nine predicted source

SUBMITTER: Sharma N 

PROVIDER: S-EPMC5405348 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature