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OJBTM

Online Journal of Bioinformatics©

Established 1995

ISSN  1443-2250

 

Volume 24 (3):145-155, 2023.

In silico Identification of Streptococcus pneumoniae by Microarray.

Wadhwa G 1, Setiya K 2, Imran Hazra3, Mohan T.Madhan 4

Apex Bioinformatics Centre, Department of Biotechnology, CGO complex, Lodhi Road, [1,2,4. Department of Computer Science, Jamia Hamdard, New Delhi[3.

ABSTRACT

Wadhwa G, Setiya K, Imran Hazra, Mohan T Madhan., In silico Identification of Streptococcus. pneumoniae by Microarray, Onl J Bioinform., 24 (3):145-155, 2023. Streptococcus pneumoniae is a gram-positive, anaerobic bacterium inducing pneumonia. We developed microarray expression data to identify co-expressed genes with virulent ones as drug targets.  We predicted virulent,  paralogous and co-expressed genes of corresponding protein drug targets by microarray data. Essential genes dissimilar to host genome were selected from 4508 expressed genes with time gap of ~8-10 minutes with 21 virulent ones, 18 similar to human and 19 to gut flora to yield 13 gene drug targets.

Keywords: clusters, k-mean clustering, drug targets.

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