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008			131025s2014 ne | s |||| 0|eng d
020			_a9789400774230
024	7		_a10.1007/978-94-007-7423-0 _2doi
050		4	_aQP551 _b.G67 2014 EB
082	0	4	_a572.633
245	0	0	_aG Protein-Coupled Receptors - Modeling and Simulation _cedited by Marta Filizola
260			_aDordrecht, Netherlands _bSpringer _c2014
300			_a1 recurso en línea (VIII, 228 p.) _b59 ilustraciones, 45 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aAdvances in Experimental Medicine and Biology _x0065-2598 _v796
505	0		_aPreface. Section I Progress in Structural Modeling of GPCRs -- The GPCR Crystallography Boom: Providing an Invaluable Source of Structural Information and Expanding the Scope of Homology Modeling -- Modeling of G Protein-Coupled Receptors Using Crystal Structures: From Monomers to Signaling Complexes. Section II. GPCRs in Motion: Insights from Simulations -- Structure and Dynamics of G Protein-Coupled Receptors -- How the Dynamic Properties and Functional Mechanisms of GPCRs are Modulated by their Coupling to the Membrane Environment -- Coarse-Grained Molecular Dynamics Provides Insight into the Interactions of Lipids and Cholesterol with Rhodopsin -- Beyond Standard Molecular Dynamics: Investigating the Molecular Mechanisms of G Protein-Coupled Receptors with Enhanced Molecular Dynamics Methods. Section III. GPCR-Focused Rational Design and Mathematical Modeling -- From Three-Dimensional GPCR Structure to Rational Ligand Discovery -- Mathematical Modeling Of G Protein-Coupled Receptor Function: What Can We Learn From Empirical And Mechanistic Models? Section IV. Bioinformatics Tools and Resources for GPCRs -- GPCRs & Company: Databases and Servers for GPCRs and Interacting Partners -- Bioinformatics Tools for Predicting GPCR Gene Functions. Index
520	3		_aG protein-coupled receptors (GPCRs) are heptahelical transmembrane receptors that convert extra-cellular stimuli into intra-cellular signaling, and ultimately into biological responses. Since GPCRs are natural targets for approximately 40% of all modern medicines, it is not surprising that they have been the subject of intense research. Notwithstanding the amount of data generated over the years, discovering ligands of these receptors with optimal therapeutic properties is not straightforward and has certainly been hampered for years by the lack of high-resolution structural information about these receptors. Luckily, there has been a steady increase of high-resolution crystal structures of these receptors since 2007, and this information, integrated with dynamic inferences from computational and experimental methods, holds great potential for the discovery of new, improved drugs. This book, which provides, for the first time, state-of-the-art views on modeling and simulation of GPCRs, is divided into 4 parts. In the first part, the impact of currently available GPCR crystal structures on structural modeling is discussed extensively as are critical insights from simulations in the second part of the book. The third part reports recent progress in rational ligand discovery and mathematical modeling, whereas the fourth part provides an overview of bioinformatics tools and resources that are available for GPCRs
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aProteínas _0comprobar BNE19900977845 _2embne _9139861
700	1		_aFilizola, Marta _eeditor literario _986233 _0Local
830		0	_aAdvances in Experimental Medicine and Biology _x0065-2598 _v796 _9133153
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-94-007-7423-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9789400774230
907			_a.b12824914 _b10-10-17 _c01-10-14
998			_am _a_alco _a_vill _b05-07-17 _cm _dz _ek _feng _gne _h0
945			_aQP551 .G67 2014 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11554125 _z06-04-17
999			_c76873 _d76873 _x1