ML in Pharmacognosy & Biotech Discovery

Name of the book: ML in Pharmacognosy & Biotech Discovery

Editors:

Dr. Anand Kumar Dakuri;

Mrs. Udaya Kumari Tula;

Mr. Prakash Nathaniel Kumar Sarella;

Dr. Durga Ganesh Jami;

Dr. Venkateswarlu Garla

Description of the book

This textbook is a useful guide to the new world of data-driven biology, focusing on how artificial intelligence (AI) and machine learning (ML) are revolutionizing pharmacognosy, nutrition, and biotechnology. It extends beyond traditional “wet lab” theory to show you how “in silico” computational methods are being applied today. Readers will learn how AI is used to design personalized diets and discover novel nutraceuticals, and how ML models can optimize crop growth, help conserve medicinal plants, and even predict the structures of secondary metabolites. The book covers the use of AI in natural product discovery, from identifying crude drugs with image recognition to predicting herb-drug interactions. A key feature of this text is its focus on molecular biology, showing how AI has fundamentally changed our understanding of protein structures and the roles of non-coding RNAs. Readers will learn the essentials of microbial and cellular informatics, including how to analyze gene sequences, build phylogenetic trees, and use AI to optimize enzyme engineering. Designed for students and scientists in pharmacy, biology, and biotechnology, this book provides the core technical knowledge needed to apply machine learning to the next wave of biological discovery. It is prepared in accordance with the new PCI syllabus, drafted as per NEP 2020, making it an essential resource for B.Pharmacy VI semester students

ISBN 13: 9788198765741

ISBN 10: 8198765743

Date of Publication: 25th December 2025

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For Book Preview Click on the DOI: https://doi.org/10.69613/atw65623

Contents

Chapter 1: AI in Personalized Nutrition

Author: Dr. Venkateswara Reddy Basu, Professor and Head, Department of Pharmaceutics, Sri.K.V.College of Pharmacy, Chikkaballapura, Karnataka, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/p3hzym19

Chapter 2: AI for Nutraceuticals

Author: Dr. Nayyar Parvez, Professor & HOD, Department of Pharmaceutics, School of Pharmacy, Sharda University, Greater Noida, Uttar Pradesh, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/w7hrwd69

Chapter 3: AI in Smart Agriculture and Conservation

Author: Mrs. Hertaraise Mounica Khandavalli, Assistant Professor, Department of Humanities & Basic Sciences, Sir C.R. Reddy College of Pharmaceutical Sciences, Eluru, Andhra Pradesh, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/tagagt32

Chapter 4: Predicting Plant Secondary Metabolites

Author: Mrs. Shailaja Kali, Assistant Professor, Department of Pharmacology, Sir C.R. Reddy College of Pharmaceutical Sciences, Eluru, Andhra Pradesh, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/z823nt93

Chapter 5: AI in Crude Drug Identification

Author: Mrs. Udaya Kumari Tula, Research Scientist, DSK Biopharma Inc., Morrisville, North Carolina, USA

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/1f3ek657

Chapter 6: AI in Natural Product Drug Discovery

Author: Mrs. Sreedevi Kudaravalli, Associate Professor, Department of Pharmaceutical Biotechnology, Sultan-ul-Uloom College of Pharmacy, Banjara Hills, Hyderabad, Telangana, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/49tzsc17

Chapter 7: AI for Regulatory and Biosynthetic Analysis

Author: Mrs. Pavani Avula, Assistant Professor, Department of Pharmacology, Sir C.R. Reddy College of Pharmaceutical Sciences, Eluru, Andhra Pradesh, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/tjqhbd39

Chapter 8: Foundations of AI in Molecular Biology

Author: Mrs. Sreedevi Kudaravalli, Associate Professor, Department of Pharmaceutical Biotechnology, Sultan-ul-Uloom College of Pharmacy, Banjara Hills, Hyderabad, Telangana, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/ba9f5c46

Chapter 9: Advanced Molecular Analysis with ML

Author: Dr. Sridhar Babu Gummadi, Professor and Principal, Department of Pharmaceutical Chemistry, Sri Shivani College of Pharmacy, Warangal, Telangana, India

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Chapter 10: Microbial Identification Techniques

Author: Miss Bhavya Sree Aluri, Assistant Professor, Department of Pharmacology, Sir C.R. Reddy College of Pharmaceutical Sciences, Eluru, Andhra Pradesh, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/91zs3574

Chapter 11: Phylogenetic Analysis

Author: Mrs. Vinny Therissa Mangam, Assistant Professor, Department of Pharmaceutical Analysis, Aditya College of Pharmacy, Aditya University, Surampalem, Andhra Pradesh, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/crt70687

Chapter 12: AI in Cellular and Enzyme Engineering

Author: Mr. Gourab Saha, Associate Professor, Department of Pharmaceutics, College of Pharmaceutical Sciences, Berhampur, Mohada, Odisha, India

To view the Chapter Preview, Click on the DOI: https://doi.org/10.69613/61wemm96