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Cancer Informatics: Computational Analysis Of Significant Missense Mutations In Various Cancer Genes And Their Drug Targets - Couverture souple

Rajasekaran, R.; Sethumadhavan, Rao; Chandrasekaran, P.

 
9783659234255: Cancer Informatics: Computational Analysis Of Significant Missense Mutations In Various Cancer Genes And Their Drug Targets
Couverture souple
ISBN 10 : 3659234257 ISBN 13 : 9783659234255
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

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 papers in various national and international journals. His area of research interest is Computational Biochemistry.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659234257
ISBN 13 
9783659234255
Reliure
Broché
Nombre de pages
280
Coordonnées du fabricant
non disponible
Personne responsable
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