Articoli correlati a Global Cancer Network: An Interdisciplinary Approach
Sinossi
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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L'autore
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
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Global Cancer Network
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LAP LAMBERT Academic Publishing Jul 2011, 2011
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ISBN 13: 9783845401867
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Taschenbuch. Condizione: 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. Codice articolo 9783845401867
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Global Cancer Network
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Condizione: 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. Codice articolo 5480346
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Global Cancer Network
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Global Cancer Network
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Condizione: 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. Codice articolo 131746323
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Global Cancer Network
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Condizione: New. PRINT ON DEMAND pp. 180. Codice articolo 18128841158
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Global Cancer Network
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LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845401869
ISBN 13: 9783845401867
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Taschenbuch. Condizione: 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. Codice articolo 9783845401867
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Global Cancer Network | An Interdisciplinary Approach
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LAP LAMBERT Academic Publishing, 2011
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Taschenbuch. Condizione: 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. Codice articolo 106900626
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Global Cancer Network : An Interdisciplinary Approach
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LAP LAMBERT Academic Publishing, 2011
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ISBN 13: 9783845401867
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Taschenbuch. Condizione: 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. Codice articolo 9783845401867
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Global Cancer Network : An Interdisciplinary Approach
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ISBN 10: 3845401869
ISBN 13: 9783845401867
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Condizione: 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. Codice articolo 10876478/2
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Global Cancer Network: An Interdisciplinary Approach
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ISBN 13: 9783845401867
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