000			03823nam a22003615i 4500
001			235373
003			ES-VaUE
005			20221220020701.0
007			cr nn 008mamaa
008			130409s2013 xxu| s |||| 0|eng d
020			_a9781627033428
024	7		_a10.1007/978-1-62703-342-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aIn Silico Models for Drug Discovery _cedited by Sandhya Kortagere.
250			_a1st edition 2013
264		1	_aTotowa, NJ _bHumana Press _c2013
300			_a1 recurso en línea (XII, 265 páginas) _b59 ilustraciones, 6 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 _v993
505	0		_aVirtual Screening in Drug Design -- In Silico Systems Biology Approaches for the Identification of Antimicrobial Targets -- Genome Comparisons as a Tool for Antimicrobial Target Discovery -- In Silico Models for Drug Resistance -- An In Silico Model for Interpreting Polypharmacological Relationships in Drug-Target Networks -- On Exploring Structure-Activity Relationships -- Molecular Dynamics Simulations in Drug Design -- Databases and In Silico Tools for Vaccine Design -- In Silico Models for B-Cell Epitope Recognition and Signaling -- The Collaborative Drug Discovery (CDD) Database -- Recognition of Nontrivial Remote Homology Relationships Involving Proteins of Helicobacter pylori: Implications for Function Recognition -- Identification of Novel Anthrax Toxin Countermeasures Using In Silico Methods -- Rational Design of HIV-1 Entry Inhibitors -- Malarial Kinases: Novel Targets for In Silico Approaches to Drug Discovery -- Designing Novel Inhibitors of Trypanosoma brucei -- Computational Models for Tuberculosis Drug Discovery.
520			_aInfectious diseases caused by viruses, parasites, bacteria, and fungi are the number one cause of death worldwide. Although new technologies have improved diagnosis of infectious diseases, the efficacy of all known current anti-infective agents is threatened by the spread of drug-resistant forms of the pathogens. Hence, there remains an urgent need to develop anti-infective agents that target drug-resistant pathogens. In Silico Models for Drug Discovery presents a comprehensive look at the role in silico models play in understanding infectious diseases and in developing novel therapeutics to treat them. Written by leading experts in the field, chapters cover topics such as techniques to derive novel antimicrobial targets, methods of interpreting polypharmacology-based drug target networks, and molecular dynamics techniques used to compute binding energies of drugs to their target proteins, to name a few. Written in the successful Methods in Molecular Biology™ series or in review article format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.   Authoritative and easily accessible, In Silico Models for Drug Discovery seeks to serve both professionals and novices involved in the study and treatment of infectious diseases.
700	1		_aKortagere, Sandhya _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781627033435
776	0	8	_iPrinted edition: _z9781627033411
776	0	8	_iPrinted edition: _z9781493962976
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-62703-342-8 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2013
999			_c235373 _d235373