Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development is popular PDF and ePub book, written by Kunal Roy in 2023-05-23, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development can be Read Online from any device for your convenience.
Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development 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 drug design together with the available tools and databases. The integrated presentation of chemometrics, cheminformatics, and machine learning methods under is one of the strengths of the book.The first part of the content is devoted to establishing the foundations of the area. Here recent trends in computational modeling of drugs are presented. Other topics present in this part include QSAR in medicinal chemistry, structure-based methods, chemoinformatics and chemometric approaches, and machine learning methods in drug design. The second part focuses on methods and case studies including molecular descriptors, molecular similarity, structure-based based screening, homology modeling in protein structure predictions, molecular docking, stability of drug receptor interactions, deep learning and support vector machine in drug design. The third part of the book is dedicated to special topics, including dedicated chapters on topics ranging from de design of green pharmaceuticals to computational toxicology. The final part is dedicated to present the available tools and databases, including QSAR databases, free tools and databases in ligand and structure-based drug design, and machine learning resources for drug design. The final chapters discuss different web servers used for identification of various drug candidates. Presents 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 special topics of computational drug design and available tools and databases
Detail Book of Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development PDF
- Author : Kunal Roy
- Release : 23 May 2023
- Publisher : Elsevier
- ISBN : 9780443186394
- Genre : Medical
- Total Page : 768 pages
- Language : English
- PDF File Size : 12,5 Mb
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