By Neema Jamshidi, Aarash Bordbar, Bernhard Palsson (auth.), Johnjoe McFadden, Dany J.V. Beste, Andrzej M. Kierzek (eds.)
The ebook begins with a normal creation into the relevance of platforms biology for knowing tuberculosis. it will be by means of a number of chapters which describe the applying of structures biology to numerous features of the research of the pathogen, Mycobacterium tuberculosis, and its interplay with the host. The ebook presents the reader with an account of ways the hot technology of platforms biology is supplying novel insights into the traditional scourge of tuberculosis. it's going to additionally describe how platforms biology may be utilized to the regulate of tuberculosis, together with the improvement of recent remedies, vaccines and diagnostics.
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Extra resources for Systems Biology of Tuberculosis
Random screening is too inefﬁcient for this approach and may not capture interesting synergetic combinations. An exhaustive screening has been tried for the two-component combination, but it was limited to combination among 1,200 candidate compounds and difﬁcult to be scaled for multiple component combinations . Most likely such an undertaking would be far beyond the capability of a single pharmaceutical company or publicly funded projects. Thus, it is essential that computational approach to be established at the practical level that can predict possible combinations for further study.
How we can solve this problem impacts productivity and practicality of computational approach for drug discovery for wider targets. 3 Needs for Virtual Big Science Scientiﬁc projects with large funding to achieve deﬁned mission are often called Big Science. Successful big science projects shall have clearly deﬁned goals, possible means to achieve it, and strong social justiﬁcations to support such endeavor through public funding. At the same time, what type of project can be supported widely beyond scientiﬁc community depends on social needs at that time.
Kitano H, Ghosh S, Matsuoka Y (2011) Social engineering for virtual ‘big science’ in systems biology. Nat Chem Biol 7:323–326 18. 5: a versatile modeling tool for biochemical networks. Proc IEEE 96:1254–1265 19. Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, et al (2008) WikiPathways: Pathway Editing for the People. 0060184 20. Hucka M, Finney A, Sauro HM, Bolouri H, Doyle JC, Kitano H, Arkin AP, Bornstein BJ, Bray D, Cornish-Bowden A et al (2003) The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.
Systems Biology of Tuberculosis by Neema Jamshidi, Aarash Bordbar, Bernhard Palsson (auth.), Johnjoe McFadden, Dany J.V. Beste, Andrzej M. Kierzek (eds.)