Database and Comparative Identification of Prophages

K. V. Srividhya, Geeta V. Rao, L. Raghavenderan, Preeti Mehta, Jaime Prilusky, Sankarnarayanan Manicka, Joel L. Sussman, S. Krishnaswamy

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

13 Citations (Scopus)

Abstract

Prophages are integrated viral genomes in bacteria. Prophages are distinct from other genomic segments encoding virulence factors that have been acquired by horizontal gene transfer events. A database for prophages (http://bicmku.in:8082/prophagedb http://ispc.weizmann.ac.il/prophagedb) has been constructed with data available from literature reports. To date other than bacteriophage corner stone genes based iterative searches, no other exhaustive approach unique for identifying prophage elements is available. Here we report detection of prophages based on proteomic signature comparison using a prophage proteome as reference set. This method was tested with using the database and then extended over newly sequenced bacterial genomes with no reported prophages. The approach of using similarity of proteins over a given region helped identify twenty putative prophage regions in nine different bacterial genomes.

Original languageEnglish
Title of host publicationLecture Notes in Control and Information Sciences
PublisherSpringer Science and Business Media B.V.
Pages863-868
Number of pages6
DOIs
Publication statusPublished - 2006
EventInternational Conference on Intelligent Computing (ICIC) - Kunming, PEOPLES R CHINA
Duration: 16 Aug 200619 Aug 2006

Publication series

SeriesLecture Notes in Control and Information Sciences
Volume344
ISSN0170-8643

Conference

ConferenceInternational Conference on Intelligent Computing (ICIC)
Period16/8/0619/8/06

All Science Journal Classification (ASJC) codes

  • Library and Information Sciences

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