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- W2076146908 abstract "Abstract Background In spite the availability of several drugs and vaccines, bacterial pathogenic diseases remain a major health problem and concern worldwide, warranting identification of new drug targets for the design of more efficacious drugs. This is due to the fact bacteria's become resistant to a particular antibiotic over the course of usage. Methods In this work the microarray expression data is selected to identify new genes that co-express along with the already known virulent genes. The study was undertaken using microarray data available on SMD. Results The microarray data was analyzed and new genes were selected that co-expressed along with known virulent genes available on VFDB. Later genes essential and also dissimilar to the host genome were selected as putative drug targets. The study started with 4508 expressed genes with a time gap of approximately 8–10 min of which 21 were known to be virulent. Of these genes 450 clusters were made out of which 21 were selected. In these 21 clusters there were 50 essential genes from which 18 were similar to humans and 19 similar to gut flora which were discarded. 13 New genes identified may be used as putative drug targets for further studies. Conclusion The study will help in the identification of new drug molecules and their validation." @default.
- W2076146908 created "2016-06-24" @default.
- W2076146908 creator A5025413438 @default.
- W2076146908 date "2013-04-01" @default.
- W2076146908 modified "2023-09-26" @default.
- W2076146908 title "Computational drug target identification in Streptococcus pneumoniae using available microarray data" @default.
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- W2076146908 doi "https://doi.org/10.1016/j.jopr.2013.04.003" @default.
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