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Computer-Aided and Machine Learning-Driven Drug Design

Name: Computer-Aided and Machine Learning-Driven Drug Design
Brand: Springer, Berlin
SKU: 46631430
Price: 225.25 EUR
Availability: InStock
Author: Vinícius Gonçalves Maltarollo
ISBN: 9783031767173

From Theory to Applications

Vinícius Gonçalves Maltarollo

Language

English

Book Hardback

Libristo code: 46631430

Publishers Springer, Berlin, January 2025

The computer-aided drug design research field comprises several different knowledge areas, and often... Full description

Libristo code: 46631430

547 b

225.25 €

440.55 лв

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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 docking.

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 candidates. Also includes is a section of case studies that cover certain pharmacological/target classes, focusing on the applications of the previously described methods. This part will especially appeal to professionals who are not as interested in the theoretical aspects of CADD.

This is an ideal book for students, researchers, and industry professionals in the fields of pharmacy, chemistry, biology, bioinformatics, computer sciences, and medicine who are seeking a go-to reference on drug design and medicinal chemistry.

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About the book

Full name Computer-Aided and Machine Learning-Driven Drug Design

Author Vinícius Gonçalves Maltarollo

Language

English

Binding Book - Hardback

Date of issue 2025

Number of pages 350

EAN 9783031767173

Libristo code 46631430

Publishers Springer, Berlin

Weight 965

Dimensions 155 x 235

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