E-grāmata: Computational Drug Discovery and Design

Computer-Aided Drug Discovery and Design Recent Advances and Future
Prospects.-  Virtual Screening Process - A Guide in Modern Drug
Designing.- Molecular dynamics as a tool for virtual ligand
screening.- Antiviral Drug Target Identification and Ligand Discovery.- GRAMM
webserver for protein docking.- Proteinligand blind docking using
CB-Dock2.- Applications of Molecular Dynamics Simulations in Drug
Discovery.- Molecular dynamics simulation-based prediction of
glycosaminoglycan interactions with drug molecules.- Mining chemogenomic
spaces for prediction of drug-target interactions.- Expanding the landscape
of amyloid sequences with CARs-DB: a database of polar amyloidogenic peptides
from disordered proteins.- Accelerating molecular dynamics simulations for
drug discovery.- Exploring the Role of Chemoinformatics in Accelerating Drug
Discovery: A Computational Approach. -Recent Deep-Learning Applications to
Structure-BasedDrug Design.- Techniques for Developing Reliable Machine
Learning Classifiers Applied to Understanding and Predicting Protein:Protein
Interaction Hot Spots.- AI driven enhancements in drug screening and
optimisation.- Applications of big data and AI-driven technologies in CADD
(computer-aided drug design).- Artificial Intelligence in ADME Property
Prediction.- Accelerating the discovery and design of antimicrobial peptides
with artificial intelligence.