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020			_a9780387245324 _9978-0-387-24532-4
024	7		_a10.1007/b105866 _2doi
035			_avtls000330072
039		9	_a201509030441 _bVLOAD _c201405070457 _dVLOAD _c201401311328 _dstaff _c201401311152 _dstaff _y201401291446 _zstaff _wmsplit0.mrc _x492
050		4	_aQD431-431.7
100	1		_aWaksman, Gabriel. _eeditor. _9302371
245	1	0	_aProteomics and Protein-Protein Interactions : _bBiology, Chemistry, Bioinformatics, and Drug Design / _cedited by Gabriel Waksman.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aVIII, 323 páginas, _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aProtein Reviews ; _v3
500			_aSpringer eBooks
505	0		_aIntroduction: Proteomics and Protein-Protein Interactions: Biology, Chemistry, Bioinformatics, and Drug Design -- Yeast Two-Hybrid Protein-Protein Interaction Networks -- The Use of Mass Spectrometry in Studying Protein-Protein Interaction -- Molecular Recognition in the Immune System -- Computational Methods for Predicting Protein-Protein Interactions -- Protein-Protein Docking Methods -- Thermochemistry of Binary and Ternary Protein Interactions Measured by Titration Calorimetry: Complex Formation of CD4, HIV gp120, and Anti-gp120 -- Protein-Protein Recognition in Phosphotyrosine-Mediated Intracellular Signaling -- Competitive Binding of Proline-Rich Sequences by SH3, WW, and Other Functionally Related Protein Domains -- The Structure and Molecular Interactions of the Bromodomain -- SMART Drug Design: Novel Phosphopeptide and ATP Mimetic-Based Small Molecule Inhibitors of the Oncogenic Protein Kinase pp60src (Src) -- Disrupting Protein-Protein Interaction: Therapeutic Tools Against Brain Damage -- A Thermodynamic Guide to Affinity Optimization of Drug Candidates.
520			_aThe rapidly evolving field of protein science has now come to realize the ubiquity and importance of protein-protein interactions. It had been known for some time that proteins may interact with each other to form functional complexes, but it was thought to be the property of only a handful of key proteins. However, with the advent of high throughput proteomics to monitor protein-protein interactions at an organism level, we can now safely state that protein-protein interactions are the norm and not the exception. Thus, protein function must be understood in the larger context of the various binding complexes that each protein may form with interacting partners at a given time in the life cycle of a cell. Proteins are now seen as forming sophisticated interaction networks subject to remarkable regulation. The study of these interaction networks and regulatory mechanism, which I would like to term "systems proteomics," is one of the thriving fields of proteomics. The bird-eye view that systems proteomics offers should not however mask the fact that proteins are each characterized by a unique set of physical and chemical properties. In other words, no protein looks and behaves like another. This complicates enormously the design of high-throughput proteomics methods. Unlike genes, which, by and large, display similar physico-chemical behaviors and thus can be easily used in a high throughput mode, proteins are not easily amenable to the same treatment. It is thus important to remind researchers active in the proteomics field the fundamental basis of protein chemistry. This book attempts to bridge the two extreme ends of protein science: on one end, systems proteomics, which describes, at a system level, the intricate connection network that proteins form in a cell, and on the other end, protein chemistry and biophysics, which describe the molecular properties of individual proteins and the structural and thermodynamic basis of their interactions within the network. Bridging the two ends of the spectrum is bioinformatics and computational chemistry. Large data sets created by systems proteomics need to be mined for meaningful information, methods need to be designed and implemented to improve experimental designs, extract signal over noise, and reject artifacts, and predictive methods need to be worked out and put to the test. Computational chemistry faces similar challenges. The prediction of binding thermodynamics of protein-protein interaction is still in its infancy. Proteins are large objects, and simplifying assumptions and shortcuts still need to be applied to make simulations manageable, and this despite exponential progress in computer technology. Finally, the study of proteins impacts directly on human health. It is an obvious statement to say that, for decades, enzymes, receptors, and key regulator proteins have been targeted for drug discovery. However, a recent and exciting development is the exploitation of our knowledge of protein-protein interaction for the design of new pharmaceuticals. This presents particular challenges because protein-protein interfaces are generally shallow and interactions are weak. However, progress is clearly being made and the book seeks to provide examples of successes in this area.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780387245317
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b105866 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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