Computational Algorithms For Protein-Protein Interaction Detection: Rule Discovery From Gene Expression Data And Effective Protein Interaction Inference In Molecular Structures

Dafas, Panagiotis; Dafas, Panagiotis

ISBN 10: 3639185978 / ISBN 13: 9783639185973

Published by Vdm Verlag Dr. Müller, 2009

About this Item

136 pages. 8.66x5.91x0.31 inches. In Stock.

Seller Inventory # __3639185978

Bibliographic Details

• Title: Computational Algorithms For Protein-Protein Interaction Detection: Rule Discovery From Gene Expression Data And Effective Protein Interaction Inference In Molecular Structures
• Publisher: Vdm Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639185978
• ISBN 13: 9783639185973
• Binding: Paperback
• Condition: Brand New
• Weight: 0.25 kilograms

About this title

Synopsis

The experimental measurement of gene expression levels has produced preliminary results on the regulation, pathways and networks of genes in cells. Furthermore, the number of available three- dimensional folded structures of proteins increases on a daily basis. The ultimate aim of both genomics and proteomics from the perspective of bioinformatics, is to map out all the circuits of energy and information processing in life by terms of molecular interactions in a systematic way with minimal human intervention. In this book the author presents a new rule mining framework for ¿in silico¿ inference of protein-protein interactions and an effective class of techniques that identify domain- domain interactions from multiple domain protein structures. The above two approaches allow molecular biologists to use both gene expression data and three dimensional folded protein structures to efficiently predict or validate potential protein- protein interactions.

About the Author

Panagiotis Dafas holds a PhD in Bioinformatics from City University where he worked as a research associate in the fields of Pattern Recognition, Machine Learning and Bioinformatics. His work has been published in major journals, books and refereed conference proceedings. He is currently a senior quantitative researcher at Aspect Capital.