From Bioinformatics.Org Wiki
In the recent past, the system-wide genomics approach has considerably improved the translation of bioinformatics data generated into wet-lab experiments for predicting better drug targets. There has been a significant growth in understanding the immune response for those candidate (pathogenic and synthetases) genes linked to antigenicity. This framework of protein–protein interaction networks constituting synthetases could be potential co-targets for many proteins. Furthermore, their predicted role would initiate resistance for many drugs where such targets were earlier shown to form a class of resistome proteins and have been extensively identified in Mycobacterium.
- Liang L, Tan X, Juarez S, Villaverde H, Pablo J, Nakajima-Sasaki R,Gotuzzo E, Saito M, Hermanson G, Molina D, Felgner S,Morrow WJ, Liang X, Gilman RH, Davies DH, Tsolis RM,Vinetz JM, Felgner PL (2011) Systems biology approach predicts antibody signature associated with Brucella melitensis infection in humans. J Proteome Res 10(10):4813–4824.
- Padiadpu J, Vashisht R, Chandra N (2010) Protein-protein interaction networks suggest different targets have different propensities for triggering drug resistance. Syst Synth Biol 4(4):311–322.
- Chiliveru S, Appari M and Suravajhala P: http://link.springer.com/article/10.1007/s11693-014-9158-2