Computer-Aided and Machine Learning-Driven Drug Design: From Theory to Applications

Computer-Aided and Machine Learning-Driven Drug Design: From Theory to Applications, 1, 2025 is a comprehensive biology reference published by Springer. Description By Vinícius Gonçalves Maltarollo The computer-aided drug design research field comprises several different knowledge areas, and often, researchers are only familiar or experienced with a small fraction of them.

Key Features

- By Vinícius Gonçalves Maltarollo
- The computer-aided drug design research field comprises several different knowledge areas, and often, researchers are only familiar or experienced with a small fraction of them
- Indeed, pharmaceutical industries and large academic groups rely on a broad range of professionals, including chemists, biologists, pharmacists, and computer scientists
- In this sense, it is difficult to be an expert in every single CADD approach
- Furthermore, there are well-established methods that are constantly revisited, and novel approaches are introduced, such as machine-learning based scoring functions for molecular…
- This book provides an organized update of the most commonly employed CADD techniques, as well as successful examples of actual applications to develop bioactive compounds/drug…
- Also includes is a section of case studies that cover certain pharmacological/target classes, focusing on the applications of the previously described methods

Product Details

Publisher: Springer
Edition: 1
Published Year: 2025
Format: Publisher PDF
File Size: 20.4 MB
ISBN: 978-3031767173, 9783031767180