Computational protein-protein interactions/ edited by Ruth Nussinov and Gideon Schreiber
Material type: TextLanguage: English Publication details: Boca Raton: CRC, 2009 Description: xvii, 314pISBN: 9781420070057Subject(s): PROTEIN-PROTEIN INTERACTIONS -- COMPUTER SIMULATION | PROTIEN-PROTIEN INTERACTIONS -- MATHEMATICAL MODELSDDC classification: 577.112:004 Summary: Often considered the workhorse of the cellular machinery, proteins are responsible for functions ranging from molecular motors to signaling. The broad recognition of their involvement in all cellular processes has led to focused efforts to predict their functions from sequences, and if available, from their structures. An overview of current research directions, Computational Protein-Protein Interactions examines topics in the prediction of protein-protein interactions, including interference with protein-protein interactions and their design. Explores Computational Approaches to Understanding Protein-Protein Interactions Outlining fundamental and applied aspects of the usefulness of computations when approaching protein-protein interactions, this book incorporates different views of the same biochemical problem from sequence to structure to energetics. It covers protein-protein interaction prediction and dynamics, design, drug design for inhibition, and uses for the prediction of function. The text provides general chapters that overview the topic and also includes advanced material. The chapters detail the complexity of protein interaction studies and discuss potential caveats. Addresses the Next Big Problem in Molecular Biology While it is important to predict protein associations, this is a daunting task. Edited by two experts in the field and containing contributions from those at the forefront of research, the book provides a basic outline of major directions in computational protein-protein interactions research at the heart of functional genomics and crucial for drug discovery. It addresses the next big problem in molecular biology: how to create links between all the pieces of the cell jigsaw puzzle.Item type | Current library | Call number | Status | Date due | Barcode |
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Book | NISER LIBRARY | 577.112:004 NUS-C (Browse shelf(Opens below)) | Available | 5157 |
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577.112 TOR-P Protein interactions: research and development | 577.112 TOR-P Protein protein interactions | 577.112 TOR-P Protein protein interactions | 577.112:004 NUS-C Computational protein-protein interactions/ | 577.112:004 NUS-C Computational protein-protein interactions/ | 577.112.382 LAU-H High-throughput glycomics and glycoproteomics: methods and protocols | 577.112.4 SEC-Q Quantitative proteomics by mass spectrometry |
Basic Principles of Protein--Protein Interaction, J. Janin Low-Resolution Recognition Factors Determine Major Characteristics of the Energy Landscape in Protein--Protein Interaction, I.A. Vakser The Molecular Architecture of Protein--Protein Binding Sites, E.J. Sundberg Mapping Protein Function by Combinatorial Mutagenesis, G. Pal and S.S. Sidhu The Association of Protein--Protein Complexes, G. Schreiber Computational Simulations of Protein--Protein and Protein--Nucleic Acid Association, G.V. Pachov, R.R. Gabdoulline, and R.C. Wade Computational Design of Protein--Protein Interactions, J.M. Shifman Protein--Protein Docking, H. Hwang, B. Pierce, and Z. Weng Prediction of Protein Interaction Sites, Y. Ofran Predicting Molecular Interactions in Structural Proteomics, I. Kufareva and R. Abagyan Rearrangements and Expansion of the Domain Content in Proteins Frequently Increase the Protein Connectivity in the Protein--Protein Interaction Network, I. Cohen-Gihon, R. Sharan, and R. Nussinov Intrinsically Disordered Proteins and Their Recognition Functions, V.N. Uversky, M. Fuxreiter, C.J. Oldfield, A.K. Dunker, and P. Tompa Identification of Druggable Hot Spots on Proteins and in Protein--Protein Interfaces, D. Beglov, R. Brenke, G.-Y. Chuang, D. Hall, M. Landon, C.H. Ngan, Y. Shen, S. Thiel, B. Zerbe, D. Kozakov, and S. Vajda Designing Protein--Protein Interaction Inhibitors, M. Montes Index
Often considered the workhorse of the cellular machinery, proteins are responsible for functions ranging from molecular motors to signaling. The broad recognition of their involvement in all cellular processes has led to focused efforts to predict their functions from sequences, and if available, from their structures. An overview of current research directions, Computational Protein-Protein Interactions examines topics in the prediction of protein-protein interactions, including interference with protein-protein interactions and their design.
Explores Computational Approaches to Understanding Protein-Protein Interactions
Outlining fundamental and applied aspects of the usefulness of computations when approaching protein-protein interactions, this book incorporates different views of the same biochemical problem from sequence to structure to energetics. It covers protein-protein interaction prediction and dynamics, design, drug design for inhibition, and uses for the prediction of function. The text provides general chapters that overview the topic and also includes advanced material. The chapters detail the complexity of protein interaction studies and discuss potential caveats.
Addresses the Next Big Problem in Molecular Biology
While it is important to predict protein associations, this is a daunting task. Edited by two experts in the field and containing contributions from those at the forefront of research, the book provides a basic outline of major directions in computational protein-protein interactions research at the heart of functional genomics and crucial for drug discovery. It addresses the next big problem in molecular biology: how to create links between all the pieces of the cell jigsaw puzzle.
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