000			05979nam a22005055i 4500
001			978-0-387-24532-4
003			DE-He213
005			20250710083931.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387245324 _a99780387245324
024	7		_a10.1007/b105866 _2doi
082	0	4	_a572.6 _223
100	1		_aWaksman, Gabriel. _eeditor.
245	1	0	_aProteomics and Protein-Protein Interactions _h[recurso electrónico] : _bBiology, Chemistry, Bioinformatics, and Drug Design / _cedited by Gabriel Waksman.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aVIII, 323 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aProtein Reviews ; _v3
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.
650		0	_aLIFE SCIENCES.
650		0	_aHUMAN GENETICS.
650		0	_aBIOCHEMISTRY.
650		0	_aPROTEOMICS.
650		0	_aBIOINFORMATICS.
650		0	_aCYTOLOGY.
650	1	4	_aLIFE SCIENCES.
650	2	4	_aPROTEOMICS.
650	2	4	_aHUMAN GENETICS.
650	2	4	_aBIOINFORMATICS.
650	2	4	_aBIOCHEMISTRY, GENERAL.
650	2	4	_aCELL BIOLOGY.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387245317
830		0	_aProtein Reviews ; _v3
856	4	0	_uhttp://dx.doi.org/10.1007/b105866 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBL
942			_2ddc _cER
999			_c56355 _d56355