ML for Target Identification & Validation in Drug Discovery: Optimizing Drug Targeting - ML Techniques - Softcover

Durga, Putta; Venkateswara Rao, Sadhu

Softcover

ISBN 10: 3659469920 ISBN 13: 9783659469923

Publisher: LAP Lambert Academic Publishing, 2024

Synopsis

Machine Learning Approaches for Target Identification and Validation in Drug Discovery examines the transformative role of machine learning (ML) in enhancing the drug discovery process. The introduction highlights the importance of accurate target identification and validation, while subsequent sections delve into various ML algorithms for predicting potential drug targets based on biological data. Gene prioritization methods are discussed, showcasing how ML can effectively rank disease-associated genes. Additionally, the integration of ML with knowledge graphs is explored, illustrating how these tools enhance data connectivity and decision-making. Finally, the importance of information extraction through data mining and natural language processing is addressed, illustrating how these approaches help researchers extract valuable insights from large datasets, thereby advancing the field of drug discovery.

Edition details

• Publisher: LAP Lambert Academic Publishing
• Publication date: 2024
• Language: English
• ISBN 10: 3659469920
• ISBN 13: 9783659469923
• Binding: Paperback
• Number of pages: 56