An in silico approach towards identification of novel drug targets in pathogenic species of Leptospira

• Published in: PloS one Vol. 14; no. 8; p. e0221446
• Main Authors: Gupta, Reena, Verma, Rashi, Pradhan, Dibyabhaba, Jain, Arun Kumar, Umamaheswari, Amineni, Rai, Chandra Shekhar
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 20.08.2019; Public Library of Science (PLoS)
• Subjects: Amino Acid Sequence; Analysis; Antimicrobial resistance; Bacterial Proteins - chemistry; Bioinformatics; Biology and Life Sciences; Biosynthesis; Care and treatment; Catalytic Domain; Chlorophyll; Comparative analysis; Computer Simulation; Councils; Disease control; Drug Delivery Systems; Genes; Genome, Bacterial; Genomes; Genomics; Homology; Host-Pathogen Interactions; Humans; Identification; Infections; Infectious diseases; Informatics; Leptospira; Leptospira - classification; Leptospira - metabolism; Leptospira - pathogenicity; Leptospirosis; Medical research; Medicine and Health Sciences; Metabolic networks; Metabolic Networks and Pathways; Metabolic pathways; Metabolism; Microbial drug resistance; Proteins; Structural Homology, Protein; Target recognition; Thiamine; Treatment outcome; Virulence; Zoonoses; India
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0221446

Leptospirosis is one of the leading zoonotic infections worldwide. As with other infectious diseases, report of antimicrobial resistance to existing therapeutic arsenal poses challenges in the management of disease. Hence, identification of novel drug targets for the pathogen deems essential. Present study used combined approach of comparative and subtractive genomics to identify putative drug targets. Crucial genes of 16 pathogenic Leptospira strains were filtered and subjected to homology search via target identification tool "TiD". Thereafter, comparative analysis was performed for non-homologous, essential genes to accomplish the broad-spectrum drug target. Consequently, 37 essential genes were found to be conserved in at least 10 strains of Leptospira. Further, prioritization of resultant set of genes revealed 18 were hubs in protein-protein interaction network. Sixteen putative targets among the hub genes were conserved in all strains of Leptospira. Out of sixteen, fourteen were enzymes while 8 were novel and 4 were involved in virulence mechanism. In addition, genome scale metabolic network reconstruction and choke point analysis revealed cobA (porphyrin and chlorophyll metabolism) and thiL (thiamine metabolism) as chokepoints in their respective metabolic pathways. The proposed hub genes could act as putative broad-spectrum drug targets for Leptospira species, however, these putative targets should be validated to ensure them as real one prior to utilizing them for target based lead discovery.