Analysis of Protein-Protein Interactions- A Computational Approach

Ansari, Sam

ISBN 10: 383642309X / ISBN 13: 9783836423090

Published by VDM Verlag Dr. Mueller E.K., 2007

About this Item

Seller Inventory # I-9783836423090

Bibliographic Details

• Title: Analysis of Protein-Protein Interactions- A Computational Approach
• Publisher: VDM Verlag Dr. Mueller E.K.
• Publication Date: 2007
• Language: English
• ISBN 10: 383642309X
• ISBN 13: 9783836423090
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.

About the Author

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.