000 05098nam a22004935i 4500
001 978-3-319-02970-2
003 DE-He213
005 20140220082512.0
007 cr nn 008mamaa
008 140120s2014 gw | s |||| 0|eng d
020 _a9783319029702
_9978-3-319-02970-2
024 7 _a10.1007/978-3-319-02970-2
_2doi
050 4 _aR-RZ
072 7 _aMBGR
_2bicssc
072 7 _aMED000000
_2bisacsh
082 0 4 _a610
_223
100 1 _aHan, Ke-li.
_eeditor.
245 1 0 _aProtein Conformational Dynamics
_h[electronic resource] /
_cedited by Ke-li Han, Xin Zhang, Ming-jun Yang.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXII, 488 p. 123 illus., 102 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Experimental Medicine and Biology,
_x0065-2598 ;
_v805
505 0 _aProtein folding simulations by generalized-ensemble algorithms -- Application of Markov State Models to Simulate Long Timescale Dynamics of Biological Macromolecules -- Understanding protein dynamics using conformational ensembles -- Generative Models of Conformational Dynamics -- Generalized spring tensor models for protein fluctuation dynamics and conformation changes -- The Joys and Perils of Flexible Fitting -- Coarse-Grained Models of the Proteins Backbone Conformational Dynamics -- Simulating protein folding in different environmental conditions -- Simulating the peptide folding kinetic related spectra based on the Markov State Model -- The Dilemma of Conformational Dynamics in Enzyme Catalysis: Perspectives from Theory and Experiment -- Exploiting protein intrinsic flexibility in drug design -- NMR and computational methods in the structural and dynamic characterization of ligand-receptor interactions -- Molecular Dynamics Simulation of Membrane Proteins -- Free-energy landscape of intrinsically disordered proteins investigated by all-atom multicanonical molecular dynamics -- Coordination and control inside simple biomolecular machines -- Multi-state Targeting Machinery Govern the Fidelity and Efficiency of Protein Localization -- Molecular dynamics simulations of F1-ATPase -- Chemosensorial G-proteins-coupled receptors: a perspective from computational methods.
520 _aThis book discusses how biological molecules exert their function and regulate biological processes, with a clear focus on how conformational dynamics of proteins are critical in this respect. In the last decade, the advancements in computational biology, nuclear magnetic resonance including paramagnetic relaxation enhancement, and fluorescence-based ensemble/single-molecule techniques have shown that biological molecules (proteins, DNAs and RNAs) fluctuate under equilibrium conditions. The conformational and energetic spaces that these fluctuations explore likely contain active conformations that are critical for their function. More interestingly, these fluctuations can respond actively to external cues, which introduces layers of tight regulation on the biological processes that they dictate. A growing number of studies have suggested that conformational dynamics of proteins govern their role in regulating biological functions, examples of this regulation can be found in signal transduction, molecular recognition, apoptosis, protein / ion / other molecules translocation and gene expression.   On the experimental side, the technical advances have offered deep insights into the conformational motions of a number of proteins. These studies greatly enrich our knowledge of the interplay between structure and function.   On the theoretical side, novel approaches and detailed computational simulations have provided powerful tools in the study of enzyme catalysis, protein / drug design, protein / ion / other molecule translocation and protein folding/aggregation, to name but a few. This work contains detailed information, not only on the conformational motions of biological systems, but also on the potential governing forces of conformational dynamics (transient interactions, chemical and physical origins, thermodynamic properties). New developments in computational simulations will greatly enhance our understanding of how these molecules function in various biological events.
650 0 _aMedicine.
650 0 _aBiochemistry.
650 0 _aBiology
_xData processing.
650 1 4 _aBiomedicine.
650 2 4 _aBiomedicine general.
650 2 4 _aProtein Science.
650 2 4 _aComputer Appl. in Life Sciences.
700 1 _aZhang, Xin.
_eeditor.
700 1 _aYang, Ming-jun.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319029696
830 0 _aAdvances in Experimental Medicine and Biology,
_x0065-2598 ;
_v805
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-02970-2
912 _aZDB-2-SBL
999 _c92939
_d92939