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This 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.
| Serija: | Methods in Pharmacology and Toxicology |
| Leidėjas: | Springer New York |
| Išleidimo metai: | 2021 |
| Knygos puslapių skaičius: | 816 |
| ISBN-10: | 1071613650 |
| ISBN-13: | 9781071613658 |
| Formatas: | 260 x 183 x 49 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „In Silico Modeling of Drugs Against Coronaviruses: Computational Tools and Protocols“
