000			02235nam a22003975i 4500
999			_c393730 _d393730 _x1
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003			ES-MaUEC
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008			161202s2017 xxu| o |||| 0|eng d
020			_a9781493966370
024	7		_a10.1007/978-1-4939-6637-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050			_aTP248.65 .P76 _b2017 EB
245	0	0	_aComputational Protein Design _cedited by Ilan Samish
250			_a1st edition 2017
264		1	_aNew York, NY _bSpringer International Publishing _c2017
300			_a1 recurso en línea (XII, 450 páginas) _b144 ilustraciones, 111 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 _v1529
520			_aThe aim this volume is to present the methods, challenges, software, and applications of this widespread and yet still evolving and maturing field. Computational Protein Design, the first book with this title, guides readers through computational protein design approaches, software and tailored solutions to specific case-study targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Protein Design aims to ensure successful results in the further study of this vital field.
988			_aSpringer_Protocols_2017
650		7	_2embne _9139861 _aProteínas
650		7	_2embne _9492897 _aIngeniería química
776	0	8	_iPrinted edition: _z9781493966356
776	0	8	_iPrinted edition: _z9781493966363
776	0	8	_iPrinted edition: _z9781493982561
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-6637-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _ek _zSI