Global Cancer Network: An Interdisciplinary Approach - Couverture souple

Kumar, Amrendar; Bhattacharjee, Biplab; Acharjee, Animesh

 
9783845401867: Global Cancer Network: An Interdisciplinary Approach
Couverture souple
ISBN 10 : 3845401869 ISBN 13 : 9783845401867
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Cancer is the only disease that is a severe threat and a dark fear to mankind for many centuries. Cancer being a highly complex combination of diseases, it can be studied and understood better by the complex networks in Systems Biology & Network pharmacology approach. Here is a novel step to study the relation between drug target network and the corresponding drug network using the advanced concept of proteomics and systems biology and to develop an effective strategy for cancer prevention. We constructed gene co-expression networks and identified the globally cancer-related genes by network structure analysis. To study the properties of networks, modules were identified and their functions and roles were investigated. Our results showed that the inferred networks were structurally conservative and the identified modules were highly overlapped between various data sets. From this network the different interactions of the ligands and the proteins were observed. From the data obtained and the various analysis done the antimutagen Beta-Sitosterol obtained from the Black cumin Seeds (Nigella Sativa) shows least RMSD value with the protein 2I1J corresponding to the gene UTP14A.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Cancer is the only disease that is a severe threat and a dark fear to mankind for many centuries. Cancer being a highly complex combination of diseases, it can be studied and understood better by the complex networks in Systems Biology & Network pharmacology approach. Here is a novel step to study the relation between drug target network and the corresponding drug network using the advanced concept of proteomics and systems biology and to develop an effective strategy for cancer prevention. We constructed gene co-expression networks and identified the globally cancer-related genes by network structure analysis. To study the properties of networks, modules were identified and their functions and roles were investigated. Our results showed that the inferred networks were structurally conservative and the identified modules were highly overlapped between various data sets. From this network the different interactions of the ligands and the proteins were observed. From the data obtained and the various analysis done the antimutagen Beta-Sitosterol obtained from the Black cumin Seeds (Nigella Sativa) shows least RMSD value with the protein 2I1J corresponding to the gene UTP14A.

Biographie de l'auteur

Amrendar Kumar, Amity Institute of Biotechnology, Amity University, Lucknow, India; Biplab Bhattacharjee,Institute Of Computational Biology,Bangalore, India; Animesh Acharjee, Plateforme INCa SYNEGE LYON CANCERInternational Cancer Genome Consortium(ICGC)Lyon, France

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
2011
Langue
anglais
ISBN 10 
3845401869
ISBN 13 
9783845401867
Reliure
Broché
Nombre de pages
180
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne