ISBN: 9783659234255 - cancer informatics: computational analysis of significant missense mutations in various cancer genes and their drug targets (4 resultados)

Paperback. Condición: Brand New. 280 pages. 8.66x5.91x0.64 inches. In Stock.

Taschenbuch. Condición: Neu. Cancer Informatics | Computational Analysis Of Significant Missense Mutations In Various Cancer Genes And Their Drug Targets | R. Rajasekaran (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659234255 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rajasekaran R.R. Rajasekaran (PhD) is Senior Assistant Professor in the School of Biosciences and Technology, VIT University, Vellore. With nearly 10 years of teaching experience, he has published more than 25 peer reviewed research .…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cancer is a complex genetic disease as a result of accumulation of mutations. The study of these mutations not only reveals the molecular mechanism of tumoriogenesis but also provides insight for the development of novel therapeutics and diagnostic approaches. Missense mutations are among the most common types of mutations and can cause a various types of cancer. Deleterious effects of missense mutations are usually attributed to changes in the primary amino acid sequence, protein structure and function. Identifying the detrimental missense mutations in cancer genes and their drug targets are the challenging task in cancer biology. As missense variants are commonly identified in genomic sequence, only a small fraction directly contributed to oncogenesis. The ability to distinguish those missense changes that contribute to cancer progression and drug resistance from those that do not is a difficult problem usually accomplished through functional in vivo analysis. Hence, this book provides a computational protocol for identifying the detrimental missense mutation of various cancer genes in a lucid manner.…