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Monograph on Genomics of Ageing Gene-Sirt1 - Insilico Analysis & Comparative Modelling of Ageing Gene-Sirt1 by Using Bioinformatics Softwares and Tools

Anglais, Allemand · Livre de poche

Expédition généralement dans un délai de 2 à 3 semaines (titre imprimé sur commande)

Description

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Ageing is a syndrome of changes that are deleterious, progressive, universal & thus irreversible. SIRT1 gene is a candidate gene, involved in ageing process. The SIRT1 gene, whose activity is modified by the body's metabolic state & was previously known to help control the process of ageing and extend the lifespan of humans, also plays a key role in regulating the internal clock. This important discovery helps to explain how the body regulates essential functions such as hormone production, body temperature & blood pressure, & may eventually lead to drugs to combat metabolic disorders, obesity or diabetes. SIRT1 gene codes for the protein SIRTUINS . By using Bioinformatics Tools & Softwares Exons, Introns, SNPs & RFLPs of SIRT1 were predicted. SNPs are consequently important in understanding human health. Information related to functional SNPs in candidate disease genes is critical for cost effective genetic association studies, which attempt to understand the genetics of complex diseases. The 3D structure of Sirtuin was modeled & Docked with suitable ligands. The SIRT1 activation study helps in medical application for developing SIRT1 activating drugs for ageing problems.

A propos de l'auteur










Ms. Radhamahendran, MSC,M.TECH(PHD), Assistant Professor and Head, Department of Bioinformatics, Velsuniversity, Chennai, India. Her major area of research includes genome analysis, structural bioinformatics, molecular modelling and computer aided drug designing. She has published many articles in reputed journals.

Détails du produit

Auteurs Radh Mahendran, Radha Mahendran, Palan Muthu, Palani Muthu, Suba Sri
Edition LAP Lambert Academic Publishing
 
Langues Anglais, Allemand
Format d'édition Livre de poche
Sortie 21.10.2011
 
EAN 9783846516553
ISBN 978-3-8465-1655-3
Pages 160
Catégorie Sciences naturelles, médecine, informatique, technique > Biologie > Génétique

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