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Structure-based drug design

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Structure-based drug design/ edited by Marcelo A. Marti, Adrian Gustavo Turjanski, Dario Fernández Do Porto.
其他作者:	Marti, Marcelo.
出版者:	Cham :Springer International Publishing : : 2024.,
面頁冊數:	ix, 256 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Prioritizing Drug Targets in Pathogenic Bacteria by Harnessing Structural Biology, Metabolic Analysis, and Omics Data Integration -- Regulatory small RNAs as antimicrobial drug targets -- Riboswitches as antimicrobial targets -- Pre-selection of compounds for lead identification in virtual screening campaigns -- Docking and Bias Docking -- Molecular Dynamics and its Significance in Drug Discovery -- Deep Learning Strategies for Enhanced Molecular Docking and Virtual Screening -- Integrating computational approaches from non-synonymous sequence variations to molecular structure for drug repositioning targeting the SARS-CoV-2 Spike protein.
Contained By:	Springer Nature eBook
標題:	Drugs - Design. -
電子資源:	https://doi.org/10.1007/978-3-031-69162-1
ISBN:	9783031691621

Structure-based drug design
Structure-based drug design[electronic resource] /edited by Marcelo A. Marti, Adrian Gustavo Turjanski, Dario Fernández Do Porto. - Cham :Springer International Publishing :2024. - ix, 256 p. :ill. (chiefly color), digital ;24 cm. - Computer-aided drug discovery and design,v. 22730-5465 ;. - Computer-aided drug discovery and design ;v. 2..

Prioritizing Drug Targets in Pathogenic Bacteria by Harnessing Structural Biology, Metabolic Analysis, and Omics Data Integration -- Regulatory small RNAs as antimicrobial drug targets -- Riboswitches as antimicrobial targets -- Pre-selection of compounds for lead identification in virtual screening campaigns -- Docking and Bias Docking -- Molecular Dynamics and its Significance in Drug Discovery -- Deep Learning Strategies for Enhanced Molecular Docking and Virtual Screening -- Integrating computational approaches from non-synonymous sequence variations to molecular structure for drug repositioning targeting the SARS-CoV-2 Spike protein.

This volume focuses on target-oriented approximations to drug discovery, including target selection, binding pocket detection, and current uses and variants of molecular dynamics and molecular docking. The primary audience is PhD and graduates working in the field of molecular biology, structural biology, pharmaceutical sciences.

ISBN: 9783031691621

Standard No.: 10.1007/978-3-031-69162-1doiSubjects--Topical Terms:

664528
Drugs
--Design.

LC Class. No.: RS420

Dewey Class. No.: 615.19

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