1st Edition

Artificial Intelligence for Chemical Sciences Concepts, Models, and Applications

414 Pages 11 Color & 99 B/W Illustrations
by Apple Academic Press

414 Pages 11 Color & 99 B/W Illustrations
by Apple Academic Press

Chemists are increasingly employing artificial intelligence (AI) for diversified applications. This new volume explores the use of AI and its various computer-aided applications for the design of new drugs and chemical products, for toxicity prediction and biodegradation, and for fault diagnosis in chemical processing plants. The volume explores knowledge and reasoning-based approaches of the... Read more

PART I: AI IN CHEMICAL SCIENCES FOR DESIGNING SYNTHETIC PATHWAYS, TOOLS AND TECHNIQUES

1. Applications and Case Studies of AI in Chemical Sciences

Shrikaant Kulkarni

2. Computer-Aided Drug Synthesis and Design

Mubarak H. Shaikh, Sachin P. Kunde, Vijay M. Khedkar, Dattatraya N. Pansare, Aniket P. Sarkate, and Shankar R. Thopate

3. Computational Tools and Techniques in Planning Organic Synthesis

Laxmi G. Kathawate, Rohini N. Shelke, Dattatraya N. Pansare, and Aniket P. Sarkate

4. Patenting Artificial Intelligence-Based Technologies in Chemical and Pharmaceutical Sciences

Asha Hole, Bhandari Shashikant, Sagar Birajdar, Sandip Surve, and Aniket Sarkate

PART II: APPLICATION OF COMPUTATIONAL TOOLS, AI, ML FOR PREDICTING TOXICITY AND BIODEGRADATION

5. Toxicity Predication in Chemistry Based on Machine Learning: A Review

Dattatraya N. Pansare, Rohini N. Shelke, Aniket P. Sarkate, Anant B. Kanagare, Ajit Dhas, Devidas S. Bhagat, and Bharat K. Dhotre

6. Machine Learning Algorithms for Prediction of Chemical Toxicity

D. P. Gaikwad and Shambhavi. S. Singh

7. Artificial Intelligence-Based Prediction of Drug Metabolism

Shashikant V. Bhandari, Shital M. Patil, Shivraj N. Mawale, Mrunal C. Belwate, and Somdatta Y. Chaudhari

8. Exploration of Computational Approaches in Toxicity Prediction

Prashant R. Murumkar, Rasana Yadav, Rahul Barot, Rutvi Shah, Vijaykumar Srivastava, and M. R. Yadav

9. Toxicity Forecasts: Navigating Data-Driven AI/ML Models:From Theory to Practice

Suneel Kumar B.V.S, Antoine Moitessier, and Nicolas Moitessier

10. AI-Based Models for Prediction of Biodegradation

Ganesh B. Patil, Sopan N. Nangare, Shital M. Patil, Shankarsing S. Rajput, and Milind M. Patil

11. Computer-Based Technologies for Prediction of Biodegradation

Kumari Nehaa, Kalicharan Sharmab, and Sharad Wakodea

PART III: APPLICATION OF EXPERT SYSTEMS AND AI IN FAULT DIAGNOSIS AND STRUCTURE REPRESENTATION

12. Exploring the Range of Knowledge-Based Prediction Applications in Chemistry

Rohini N. Shelke, Laxmi G. Kathawate, Dattatraya N. Pansare, Aniket P. Sarkate, Ajit K. Dhas, Pravin N. Chavan, Shailee V. Tiwari, Deepak K. Lokwani, and Shivraj N. Mawale

13. Fault Diagnosis in Chemical Process Plants Using Artificial Intelligence

Tejas Tekawade, R. B. Dhumale, and P. B. Mane

14. Structure Representation Techniques and Applications in Cheminformatics

Deep V. Shah and Prashant S. Kharkar

Biography

Shrikaant Kulkarni, Ph.D., is an Adjunct Professor of Business at the Victorian Institute of Technology, Melbourne, Australia, as well as an Adjunct Professor at the Centre of Research Outcome and Impact at Chitkara University, Punjab, India. Dr. Kulkarni has been a senior academician and researcher for over four decades. He has delivered invited lectures and conducted sessions at national and international conferences and faculty development programs. He has published many research papers and has authored many book chapters. He has edited 25 books, with more in process at present, and also authored four textbooks on engineering chemistry.

Shashikant V. Bhandari, PhD, is a Professor at the All India Shri Shivaji Memorial Society’s College of Pharmacy, Pune, India. With over 24 years of experience in research and academics, Dr. Bhandari made a significant impact on the field of pharmaceutical chemistry through his groundbreaking research on anti-inflammatories, antioxidants, anticonvulsants, anticancer and anti-HIV drugs, and antiviral and antitubercular agents. He has made many presentations and published over 30 research papers in national and international journals. He has been awarded grants for research projects and has received numerous accolades for his work.

Dushyant B. Varshney, PhD, is the Chief Technology Officer at Arcturus Therapeutics, USA. Dr. Varshney has over 25 years of experience at global bio-pharma organizations. Earlier, he was Global Head of Manufacturing, Science & Technology at Gilead-Kite; Vice President and Global Head of Technical Services, Operations and Supply at Jubilant; and Head of Manufacturing, Science and Technology at Pfizer, where he led the American, European, and Asia Pacific teams. He has made many conference presentations, published over 40 articles and book chapters, and edited one book. He was recognized by Insights Success magazine as a Technophile CTO of the Year 2022.

P. William, PhD, is Dean of Research and Development and Assistant Professor of Information Technology at the Sanjivani College of Engineering, Savitribai Phule Pune University, India. He has published many papers in Scopus-indexed journals and IEEE conferences. His field of research includes natural language processing, artificial intelligence, deep learning, machine learning, soft computing, cybersecurity, and cloud computing. He has been associated with numerous multinational companies, including IBM, TATA Consultancy Services Limited, etc., and various educational groups.