Recent Computational Techniques in De Novo Drug Design
Fr. 213.90
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
13.05.2026
Herausgeber
Arli Aditya Parikesit + weitereVerlag
SpringerSeitenzahl
343 (Printausgabe)
Dateigröße
14873 KB
Sprache
Englisch
EAN
9783032204288
"Recent Computational Techniques in De Novo Drug Design" gives a thorough overview of modern computational methods used to discover new chemical compounds. The book looks at how fragment-based design, evolutionary algorithms, free-energy-guided optimization, and deep generative models have helped advance molecular discovery. It also discusses important challenges such as synthetic accessibility and ADME/Tox issues. The book explains how structural bioinformatics, cheminformatics, and machine learning work together to speed up hit generation and lead optimization in both academic and industry settings.
The chapters start by introducing the basics of de novo drug design and explain how it differs from virtual screening and QSAR methods. The book describes the shift from rule-based techniques to those driven by artificial intelligence that use a wide range of molecular data. The content is organized into sections on structure-based and ligand-based methods, MD and QM approaches, deep learning applications, and case studies from different therapeutic areas.
Kundinnen und Kunden meinen
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kund*innen durch Ihre Meinung