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008			210724s2021 xxu| o |||| 0|eng d
020			_a9781071614686
024	7		_a10.1007/978-1-0716-1468-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP552 .M44 _b2021 EB
245	0	0	_aComputational Design of Membrane Proteins _cedited by Irina S. Moreira, Miguel Machuqueiro, Joana Mourão
250			_a1st edition 2021
264		1	_aNew York, NY _bSpringer International Publising _c2021
300			_a1 recurso en línea (XI, 290 páginas) _b57 ilustraciones, 53 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v2315
505	0		_aGuardians of the Cell: State-of-the-Art of Membrane Proteins from a Computational Point-of-View -- Integrating Membrane Transporter Proteins into Droplet Interface Bilayers -- Membrane Protein Engineering with Rosetta -- Engineering of Biological Pathways: Complex Formation and Signal Transduction.p Homology Modeling of Class a G-protein-coupled Receptors in the Age of the Structure Boom -- Interface Prediction for GPCR Oligomerization between Transmembrane Helices -- Memdock: An α-Helical Membrane Protein Docking Algorithm -- Identification and Characterization of specific Protein-Lipid Interactions using Molecular Simulation -- Molecular Dynamics Simulation of Lipid-modified Signaling Proteins -- In silico Prediction of the Binding, Folding, Insertion, and Overall Stability of Membrane-Active Peptides -- pKa Calculations in Membrane Proteins from Molecular Dynamics Simulations -- Poor person's pH Simulation of Membrane Proteins -- Preparing and Analyzing Polarizable Molecular Dynamics Simulations with the Classical Drude Oscillator Model -- In silico Prediction of Permeability Coefficients -- Identification of Pan Assay INterference compoundS (PAINS) using an MD-Based Protocol -- Transmembrane Anion Transport Mediated by Halogen Bonds: using Off-Center Charges.
520			_aThis volume provides an overview of the current successes as well as pitfalls and caveats that are hindering the design of membrane proteins. Divided into six parts, chapters detail membrane transporter, FoldX force field, protein stability, G-Protein Coupled Receptors (GPCR) structures, transmembrane helices, membrane molecular dynamics (MD) simulations, pH-dependent protonation states, membrane permeability, and passive transport. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Design of Membrane Proteins aims to ensure successful results in the further study of this vital field. Chapter 4 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
988			_aSpringer_Protocols_2021
650		7	_2embne _9671893 _aProteínas de membranas _vManuales de laboratorio
776	0	8	_iPrinted edition: _z9781071614679
776	0	8	_iPrinted edition: _z9781071614693
776	0	8	_iPrinted edition: _z9781071614709
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-1468-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2023 _dz _eu _zSI