TY  - BOOK
AU  - Marti,Marcelo A.
AU  - Turjanski,Adrian Gustavo
AU  - Fernández Do Porto,Dario
ED  - SpringerLink (Online service)
TI  - Structure-Based Drug Design
T2  - Computer-Aided Drug Discovery and Design,
SN  - 9783031691621
AV  - R850.A1-854 
U1  - 610.72 23
PY  - 2024///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Medicine
KW  - Research
KW  - Biology
KW  - Pharmacology
KW  - Drugs
KW  - Design
KW  - Pharmaceutical chemistry
KW  - Pharmacy
KW  - Biomedical Research
KW  - Structure-Based Drug Design
KW  - Pharmaceutics
N1  - 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-69162-1
ER  -