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020 _a9781071613665
024 7 _a10.1007/978-1-0716-1366-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aIn Silico Modeling of Drugs Against Coronaviruses
_bComputational Tools and Protocols
_cedited by Kunal Roy.
250 _a1st edition 2021
264 1 _aNew York, NY
_bSpringer International Publising
_c2021
300 _a1 recurso en línea (XXVI, 788 páginas)
_b191 ilustraciones, 162 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 Pharmacology and Toxicology
_x1940-6053
520 _aThis essential volume explores a variety of tools and protocols of structure-based (homology modeling, molecular docking, molecular dynamics, protein-protein interaction network) and ligand-based (pharmacophore mapping, quantitative structure-activity relationships or QSARs) drug design for ranking and prioritization of candidate molecules in search of effective treatment strategy against coronaviruses. Beginning with an introductory section that discusses coronavirus interactions with humanity and COVID-19 in particular, the book then continues with sections on tools and methodologies, literature reports and case studies, as well as online tools and databases that can be used for computational anti-coronavirus drug research. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical detail and implementation advice that ensures high quality results in the lab. Comprehensive and timely, In Silico Modeling of Drugs Against Coronaviruses: Computational Tools and Protocols is an ideal reference for researchers working on the development of novel anti-coronavirus drugs for SARS-CoV-2 and for coronaviruses that will likely appear in the future.
700 1 _aRoy, Kunal
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9781071613658
776 0 8 _iPrinted edition:
_z9781071613672
776 0 8 _iPrinted edition:
_z9781071613689
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-1366-5
_z(usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Protocols_2021
999 _c233514
_d233514