Literature DB >> 28392846

Predicting stable functional peptides from the intergenic space of E. coli.

Vipin Thomas1, Navya Raj1, Deepthi Varughese1, Naveen Kumar2, Seema Sehrawat2, Abhinav Grover3, Shailja Singh2, Pawan K Dhar1,3, Achuthsankar S Nair1.   

Abstract

Expression of synthetic proteins from intergenic regions of E. coli and their functional association was recently demonstrated (Dhar et al. in J Biol Eng 3:2, 2009. doi:10.1186/1754-1611-3-2). This gave birth to the question: if one can make 'user-defined' genes from non-coding genome-how big is the artificially translatable genome? (Dinger et al. in PLoS Comput Biol 4, 2008; Frith et al. in RNA Biol 3(1):40-48, 2006a; Frith et al. in PLoS Genet 2(4):e52, 2006b). To answer this question, we performed a bioinformatics study of all reported E. coli intergenic sequences, in search of novel peptides and proteins, unexpressed by nature. Overall, 2500 E. coli intergenic sequences were computationally translated into 'protein sequence equivalents' and matched against all known proteins. Sequences that did not show any resemblance were used for building a comprehensive profile in terms of their structure, function, localization, interactions, stability so on. A total of 362 protein sequences showed evidence of stable tertiary conformations encoded by the intergenic sequences of E. coli genome. Experimental studies are underway to confirm some of the key predictions. This study points to a vast untapped repository of functional molecules lying undiscovered in the non-expressed genome of various organisms.

Entities:  

Keywords:  Antimicrobial peptides; Functional annotation; Intergenic sequences; Structure prediction

Year:  2015        PMID: 28392846      PMCID: PMC5383791          DOI: 10.1007/s11693-015-9172-z

Source DB:  PubMed          Journal:  Syst Synth Biol        ISSN: 1872-5325


  17 in total

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Authors:  Martin C Frith; Timothy L Bailey; Takeya Kasukawa; Flavio Mignone; Sarah K Kummerfeld; Martin Madera; Sirisha Sunkara; Masaaki Furuno; Carol J Bult; John Quackenbush; Chikatoshi Kai; Jun Kawai; Piero Carninci; Yoshihide Hayashizaki; Graziano Pesole; John S Mattick
Journal:  RNA Biol       Date:  2006-04-03       Impact factor: 4.652

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