Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development

This book PDF is perfect for those who love Business & Economics genre, written by Kunal Roy and published by Elsevier which was released on 01 July 2023 with total hardcover pages 0. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development books below.

Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development

Author	: Kunal Roy
File Size	: 53,5 Mb
Publisher	: Elsevier
Language	: English
Release Date	: 01 July 2023
ISBN	: 9780443186394
Pages	: 0 pages

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Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development by Kunal Roy Book PDF Summary

Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development aims at showcasing different structure-based, ligand-based, and machine learning tools currently used in drug design. It also highlights special topics of computational dru Present chemometrics, cheminformatics, and machine learning methods under a single reference. Showcases the different structure-based, ligand-based, and machine learning tools currently used in drug design. Highlights speci

Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development by Kunal Roy

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Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs

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Cheminformatics has emerged as an applied branch of Chemistry that involves multidisciplinary knowledge, connecting related fields such as chemistry, computer science, biology, pharmacology, physics, and mathematical statistics.The book is organized in two sections, including multiple aspects related to advances in the development of informatic tools and their specific use

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This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de

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Artificial Intelligence in Drug Discovery by Nathan Brown

Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial

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This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech recognition, and language understanding and processing and life, and health sciences. It

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