9783845401867 - Global Cancer Network: An Interdisciplinary Approach de Kumar, Amrendar; Bhattacharjee, Biplab; Acharjee, Animesh (10 resultados)

Condición: New. pp. 180.

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 180 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: kumar AmrendarAmrendar Kumar, Amity Institute of Biotechnology, Amity University, Lucknow, India Biplab Bhattacharjee,Institute Of Computational Biology,Bangalore, India Animesh Acharjee, Platef.

Condición: New. Print on Demand pp. 180 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 180.

Taschenbuch. Condición: Neu. Global Cancer Network | An Interdisciplinary Approach | Amrendar Kumar (u. a.) | Taschenbuch | 180 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845401867 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.