Poonam Bansal – författare

Serine proteases play significant roles in healh and human disease. Abnormal expression and activities of serine proteases have been linked to the pathogenesis of many diseases. The book presents correlation between serine proteases and human diseases. It helps the reader understand classification, catalytic mechanism and types of serine proteases and their role in human disease pathogenesis at mechanistic level. The chapters explain the role of serine proteases in various diseases including respiratory disorders and cancer. It also covers the therapeutic importance of serine proteases as drug target and explains the mechanistic insights of serine proteases inhibitors. Serine protease are known to play crucial role in biological processes but disturbance in their equilibrium can result in serious health conditions. To maintain homeostasis, serine protease inhibitors come in action and inhibit proteases. Several serine protease inhibitors have been identified and many more are being designed as novel compounds for inhibitions of proteases that provide management of comorbidities. Therefore, this book will serve as a useful reference for students and researchers to understand physiological role of serine proteases and their association with initiation and progression of human diseases. It will also help to develop some strategies to develop serine proteases inhibitors as drug target of serine proteases at cellular and molecular level.

How is AI shaping advancements in genomics, precision medicine, proteomics, metabolomics, drug discovery and development, biomedical imaging, synthetic biology, smart agriculture, production processes for biologics, vaccines and biofuels, computational biology and environmental biotechnology? Artificial Intelligence offers great potential in biotechnology research, discovery and innovation. This book discusses how AI is enabling deeper insights into biological systems and unlocking new possibilities for innovation. It addresses the ethical, legal and regulatory challenges arising from the integration of AI in biotechnology. It gives an overview of innovative tools such as deep learning frameworks, neural networks and AI-integrated lab automation systems and presents case studies showcasing successful collaborations between AI and biotechnology across industries.

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Speech and Language Processing for Human-Machine Communications. The contents of this book will be useful to researchers and students alike.