In silico Functional Annotation and Characterization of Hypothetical Proteins from Serratia marcescens FGI94.

Autor: Prabhu D; Department of Bioinformatics, Alagappa University, Science Campus, 630004 Karaikudi, Tamil Nadu India., Rajamanikandan S; ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, 560064 Yelahanka, Bengaluru India., Anusha SB; Department of Bioinformatics, Sathyabama University, 600119 Chennai, Tamil Nadu India., Chowdary MS; Department of Bioinformatics, Sathyabama University, 600119 Chennai, Tamil Nadu India., Veerapandiyan M; Department of Bioinformatics, Alagappa University, Science Campus, 630004 Karaikudi, Tamil Nadu India., Jeyakanthan J; Department of Bioinformatics, Alagappa University, Science Campus, 630004 Karaikudi, Tamil Nadu India.
Jazyk: angličtina
Zdroj: Biology bulletin of the Russian Academy of Sciences [Biol Bull Russ Acad Sci] 2020; Vol. 47 (4), pp. 319-331. Date of Electronic Publication: 2020 Jul 31.
DOI: 10.1134/S1062359020300019
Abstrakt: Serratia marcescens , rod-shaped Gram-negative bacteria is classified as an opportunistic pathogen in the family Enterobacteriaceae. It causes a wide variety of infections in humans, including urinary, respiratory, ocular lens and ear infections, osteomyelitis, endocarditis, meningitis and septicemia. Unfortunately, over the past decade, antibiotic resistance has become a serious health care issue; the effective means to control and dissemination of S. marcescens resistance is the need of hour. The whole genome sequencing of S. marcescens FGI94 strain contains 4434 functional proteins, among which 690 (15.56%) proteins were classified under hypothetical. In the present study, we applied the power of various bioinformatics tools on the basis of protein family comparison, motifs, functional properties of amino acids and genome context to assign the possible functions for the HPs. The pseudo sequences (protein sequence that contain ≤100 amino acid residues) are eliminated from the study. Although we have successfully predicted the function for 483 proteins, we were able to infer the high level of confidence only for 108 proteins. The predicted HPs were classified into various classes such as enzymes, transporters, binding proteins, cell division, cell regulatory and other proteins. The outcome of the study could be helpful to understand the molecular mechanism in bacterial pathogenesis and also provide an insight into the identification of potential targets for drug and vaccine development.
Competing Interests: COMPLIANCE WITH ETHICAL STANDARDSThe authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human participants performed by any of the authors.
(© Pleiades Publishing, Inc. 2020.)
Databáze: MEDLINE
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