Revision with unchanged content. In the past years protein-protein interactions have gained a strong interest in the fields of pharmacy, medicine, biology, and bioinformatics. In this book, statistical information on protein-protein interactions are computationally collected and analyzed. Characteristic properties are determined and their predictability estimated. Therefore, the results from a common docking approach are re-evaluated with the collected information to discriminate structures with high yet biologically meaningless geometric complementarity at the interface region from the near native structures. The results show that although there is a noticeable improvement in the predictability after applying statistical information, the overall accuracy is still low. To find other more specific properties, transient and permanent complexes were compared to each other. The lack of data led to an extensive search for more suitable structural data and the development of an extensive database. This database was ultimately used to retrieve a large number of protein properties that were automatically analyzed for their separation precision. A high accuracy was obtained in separating transient and permanent interactions based on the combination of only four properties. Combining this information with common docking approaches based on geometrical complementarity may lead to satisfying sensitivities.
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Dr. rer. Nat.:PhD at the Center for Bioinformatics of the Saarland University in Saarbrücken, Germany. Dipl.-Biol. at the Johann Wolfgang Goethe University in Frankfurt am Main, Germany, with strong focus on genetics, microbiology, and computer science.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. In the past years protein-protein interactions have gained a strong interest in the fields of pharmacy, medicine, biology, and bioinformatics. In this book, statistical information on protein-protein interactions are computationally collec ted and analyzed. Characteristic properties are determined and their predictability estimated. Therefore, the results from a common docking approach are re-evaluated with the collected information to discriminate structures with high yet biologically meaningless geometric complementarity at the interface region from the near native structures. The results show that although there is a noticeable improvement in the predictability after applying statistical information, the overall accuracy is still low. To find other more specific properties, transient and permanent complexes were compared to each other. The lack of data led to an extensive search for more suitable structural data and the development of an extensive database. This database was ultimately used to retrieve a large number of protein properties that were automatically analyzed for their separation precision. A high accuracy was obtained in separating transient and permanent interactions based on the combination of only four properties. Combining this information with common docking approaches based on geometrical complementarity may lead to satisfying sensitivities. 164 pp. Englisch. Seller Inventory # 9783639414677
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ansari SamDr. rer. Nat.:PhD at the Center for Bioinformatics of the Saarland University in Saarbruecken, Germany. Dipl.-Biol. at the Johann Wolfgang Goethe University in Frankfurt am Main, Germany, with strong focus on genetics, micro. Seller Inventory # 4985683
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Paperback. Condition: Brand New. 164 pages. 8.66x5.91x0.37 inches. In Stock. Seller Inventory # 3639414675
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. In the past years protein-protein interactions have gained a strong interest in the fields of pharmacy, medicine, biology, and bioinformatics. In this book, statistical information on protein-protein interactions are computationally collected and analyzed. Characteristic properties are determined and their predictability estimated. Therefore, the results from a common docking approach are re-evaluated with the collected information to discriminate structures with high yet biologically meaningless geometric complementarity at the interface region from the near native structures. The results show that although there is a noticeable improvement in the predictability after applying statistical information, the overall accuracy is still low. To find other more specific properties, transient and permanent complexes were compared to each other. The lack of data led to an extensive search for more suitable structural data and the development of an extensive database. This database was ultimately used to retrieve a large number of protein properties that were automatically analyzed for their separation precision. A high accuracy was obtained in separating transient and permanent interactions based on the combination of only four properties. Combining this information with common docking approaches based on geometrical complementarity may lead to satisfying sensitivities.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. Seller Inventory # 9783639414677
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Analysis of Protein-Protein Interactions | A Computational Approach | Sam Ansari | Taschenbuch | 164 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639414677 | 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. Seller Inventory # 106439019
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. In the past years protein-protein interactions have gained a strong interest in the fields of pharmacy, medicine, biology, and bioinformatics. In this book, statistical information on protein-protein interactions are computationally collec ted and analyzed. Characteristic properties are determined and their predictability estimated. Therefore, the results from a common docking approach are re-evaluated with the collected information to discriminate structures with high yet biologically meaningless geometric complementarity at the interface region from the near native structures. The results show that although there is a noticeable improvement in the predictability after applying statistical information, the overall accuracy is still low. To find other more specific properties, transient and permanent complexes were compared to each other. The lack of data led to an extensive search for more suitable structural data and the development of an extensive database. This database was ultimately used to retrieve a large number of protein properties that were automatically analyzed for their separation precision. A high accuracy was obtained in separating transient and permanent interactions based on the combination of only four properties. Combining this information with common docking approaches based on geometrical complementarity may lead to satisfying sensitivities. Seller Inventory # 9783639414677