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Protein Classes in Bioinformatics: Human Protein Class Prediction Using Distributed Processing - Softcover
Synopsis
Class prediction of a protein facilitates to enhance the process of drug discovery. In drug discovery, it is very problematic to find out the complementary protein for each protein individually. But if the class of the protein will be known for which the drug is to be discovered then it will become very smooth to find the complementary protein sequence which can be attached to the active site of the protein to stop it to expand. This book, therefore, provides the solution in the prediction of such a tool to nullify the drug with the help of distributed processing, which assists to fasten the process as compared to the previous tools used. The tool presented with the help of Distributed processing to neutralize the drug ensures a large scope for practical application of the Human Protein Prediction. So, class prediction of a protein supports to shorten the process of drug identification. The modified technique for protein function prediction will be developed based on the limitations in present techniques.
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About the Author
Shivani Kang is an Assistant Professor in Computer Science and Engineering Department at Bhai Gurdas Institute of Engineering and Technology, Sangrur, Punjab, (INDIA). Her area of research is Bioinformatics. She is the author of numerous research articles published in journals and conferences.
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Protein Classes in Bioinformatics
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LAP LAMBERT Academic Publishing Mai 2012, 2012
ISBN 10: 3659136077
ISBN 13: 9783659136078
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Class prediction of a protein facilitates to enhance the process of drug discovery. In drug discovery, it is very problematic to find out the complementary protein for each protein individually. But if the class of the protein will be known for which the drug is to be discovered then it will become very smooth to find the complementary protein sequence which can be attached to the active site of the protein to stop it to expand. This book, therefore, provides the solution in the prediction of such a tool to nullify the drug with the help of distributed processing, which assists to fasten the process as compared to the previous tools used. The tool presented with the help of Distributed processing to neutralize the drug ensures a large scope for practical application of the Human Protein Prediction. So, class prediction of a protein supports to shorten the process of drug identification. The modified technique for protein function prediction will be developed based on the limitations in present techniques. 60 pp. Englisch. Seller Inventory # 9783659136078
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Protein Classes in Bioinformatics : Human Protein Class Prediction Using Distributed Processing
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659136077
ISBN 13: 9783659136078
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Class prediction of a protein facilitates to enhance the process of drug discovery. In drug discovery, it is very problematic to find out the complementary protein for each protein individually. But if the class of the protein will be known for which the drug is to be discovered then it will become very smooth to find the complementary protein sequence which can be attached to the active site of the protein to stop it to expand. This book, therefore, provides the solution in the prediction of such a tool to nullify the drug with the help of distributed processing, which assists to fasten the process as compared to the previous tools used. The tool presented with the help of Distributed processing to neutralize the drug ensures a large scope for practical application of the Human Protein Prediction. So, class prediction of a protein supports to shorten the process of drug identification. The modified technique for protein function prediction will be developed based on the limitations in present techniques. Seller Inventory # 9783659136078
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Protein Classes in Bioinformatics
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659136077
ISBN 13: 9783659136078
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kang ShivaniShivani Kang is an Assistant Professor in Computer Science and Engineering Department at Bhai Gurdas Institute of Engineering and Technology, Sangrur, Punjab, (INDIA). Her area of research is Bioinformatics. She is the au. Seller Inventory # 5134049
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Protein Classes in Bioinformatics: Human Protein Class Prediction Using Distributed Processing
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ISBN 13: 9783659136078
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Protein Classes in Bioinformatics
Published by
LAP LAMBERT Academic Publishing Mai 2012, 2012
ISBN 10: 3659136077
ISBN 13: 9783659136078
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Class prediction of a protein facilitates to enhance the process of drug discovery. In drug discovery, it is very problematic to find out the complementary protein for each protein individually. But if the class of the protein will be known for which the drug is to be discovered then it will become very smooth to find the complementary protein sequence which can be attached to the active site of the protein to stop it to expand. This book, therefore, provides the solution in the prediction of such a tool to nullify the drug with the help of distributed processing, which assists to fasten the process as compared to the previous tools used. The tool presented with the help of Distributed processing to neutralize the drug ensures a large scope for practical application of the Human Protein Prediction. So, class prediction of a protein supports to shorten the process of drug identification. The modified technique for protein function prediction will be developed based on the limitations in present techniques.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 60 pp. Englisch. Seller Inventory # 9783659136078