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008			150102s2015 xxua d |||| 0|eng d
020			_a9781493922857
024	7		_a10.1007/978-1-4939-2285-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQD431.5 _b2015 EB
245	0	0	_aComputational Peptidology _cedited by Peng Zhou, Jian Huang
250			_a1st edition 2015
264		1	_aNew York, NY _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XI, 338 páginas) _b69 ilustraciones, 43 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 _v1268
505	0		_aDe Novo Peptide Structure Prediction: An Overview -- Molecular Modeling of Peptides -- Improved Methods for Classification, Prediction, and Design of Antimicrobial Peptides -- Building MHC Class II Epitope Predictor Using Machine Learning Approaches -- Dynamics (UHBD) Program -- Computational Prediction of Short Linear Motifs from Protein Sequences -- Peptide Toxicity Prediction -- Synthetica Structural Routes For The Rational Conversion of Peptides Into Small Molecules -- In Silico Design Of Antimicrobial Peptides -- Information-Driven Modelling Of Protein-Peptide Complexes "Information-Driven Peptide Docking" -- Computational Approaches To Developing Short Cyclic Peptide Modulators Of Protein-Protein Interactions -- A Use of Homology Modeling And Molecular Docking Methods: To Explore Binding Mechanisms of Nonylphenol And Bisphenol a with Antioxidant Enzymes -- Computational Peptide Vaccinology -- Computational Modeling Of Peptide-Aptamer Binding.
520			_aIn this volume expert researchers detail in silico methods widely used to study peptides. These include methods and techniques covering the database, molecular docking, dynamics simulation, data mining, de novo design and structure modeling of peptides and protein fragments. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials. 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 key tips on troubleshooting and avoiding known pitfalls.   Authoritative and practical, Computational Peptidology seeks to aid scientists in the further study into this newly rising subfield.
988			_aSpringer_Protocols_2015
650		7	_2embne _9139861 _aProteínas _vManuales de laboratorio
776	0	8	_iPrinted edition: _z9781493922864
776	0	8	_iPrinted edition: _z9781493922840
776	0	8	_iPrinted edition: _z9781493948093
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-2285-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2023 _dz _eb _zSI