Artificial Intelligence in Drug Design

Tushar Jaware

ISBN 10: 620552371X / ISBN 13: 9786205523711

Published by Scholars' Press Jul 2023, 2023

About this Item

Neuware -'AI in Drug Design' is a book that explores the intersection of artificial intelligence (AI) and pharmaceutical research. Written by experts in the field, it highlights the innovative ways in which AI is revolutionizing the process of drug discovery and design.The book delves into various AI techniques and algorithms employed in drug design, such as machine learning, deep learning, and data mining. It showcases how these techniques are used to analyze vast amounts of biological and chemical data, accelerating the identification and optimization of potential drug candidates. Readers will gain insights into the applications of AI in target identification, virtual screening, molecular docking, and de novo drug design. The authors discuss how AI algorithms can predict the activity and toxicity of drug compounds, enabling researchers to prioritize promising candidates and reduce the time and cost associated with traditional trial-and-error approaches.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.

Seller Inventory # 9786205523711

Bibliographic Details

• Title: Artificial Intelligence in Drug Design
• Publisher: Scholars' Press Jul 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 620552371X
• ISBN 13: 9786205523711
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 102 grams

About this title

Synopsis

"AI in Drug Design" is a book that explores the intersection of artificial intelligence (AI) and pharmaceutical research. Written by experts in the field, it highlights the innovative ways in which AI is revolutionizing the process of drug discovery and design.The book delves into various AI techniques and algorithms employed in drug design, such as machine learning, deep learning, and data mining. It showcases how these techniques are used to analyze vast amounts of biological and chemical data, accelerating the identification and optimization of potential drug candidates. Readers will gain insights into the applications of AI in target identification, virtual screening, molecular docking, and de novo drug design. The authors discuss how AI algorithms can predict the activity and toxicity of drug compounds, enabling researchers to prioritize promising candidates and reduce the time and cost associated with traditional trial-and-error approaches.