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Autophagy and Metabolism
Autophagy and Metabolism: Potential Target for Cancer Therapy presents updates on autophagy in cancer metabolism and how it can be used to develop new, more efficient treatments. Written by experts in the field, the book presents recent research and explains how to translate it to the clinical setting. Sections discuss tumor cell metabolism and autophagy as therapeutic targets, autophagy regulation in cancer, signaling pathways in metabolic dysregulation in solid tumors, metabolic stress and cell death pathways, and the role of the tumor microenvironment. In addition, topics cover combined targeting autophagy, metabolism for cancer therapy, and the autophagy effect on immune cell metabolism....
Cancer Cell Metabolism: A Potential Target for Cancer Therapy
This book illustrates various aspects of cancer cell metabolism, including metabolic regulation in solid tumours vs. non-solid tumours, the molecular pathways involved in its metabolism, and the role of the tumour microenvironment in the regulation of cancer cell metabolism. It summarizes the complexity of cancer cell metabolism in terms of the switch from anaerobic to aerobic glycolysis and how mitochondrial damage promotes aerobic glycolysis in cancer cells. The respective chapters provide the latest information on the metabolic remodelling of cancer cells and elucidate the important role of the signalling pathways in reprogramming of cancer cell metabolism. In addition, the book highlights the role of autophagy in cancer cell metabolism, and how metabolic crosstalk between cancer cells and cancer-associated fibroblasts promotes cancer cell progression. In closing, it summarizes recent advancements in drug development through targeting cancer metabolism.
Drug Resistance in Bacteria, Fungi, Malaria, and Cancer
This book is a compilation of past and recent knowledge in the field of emerging drug resistance. The book covers major aspects of drug resistance in bacteria, fungi, malaria, and cancer.Human survival on earth is constantly threatened by disease and syndrome. From the early days, the aim of research in medicine was to find therapeutic agents that can improve the quality of human life. Although humans are dependent on natural compounds from early days their dependence of drugs increased excessively in last century. The advances in chemistry and biology have helped researchers to identify the drugs that have improved treatment of many diseases. The primary factor for treatment of these diseases is dependent on the efficacy of drugs available. The development of resistance to these drugs is one of the major hindrances. Although there are number of books available on this topic, “drug resistance” biology across kingdoms has never been discussed in a coherent way.
Drug Repurposing for Emerging Infectious Diseases and Cancer
This book presents drug repurposing strategies to combat infectious diseases and cancer. It discusses key experimental and in silico approaches for modern drug repositioning, including signature matching, molecular docking, genome-wide associated studies, and network-based approaches aided by artificial intelligence. Further, the book presents various computational and experimental strategies for better understanding disease mechanisms and identify repurposed drug candidates for personalized pharmacotherapy. It also explores the databases for drug repositioning, summarizes the approaches taken for drug repositioning, and highlights and compares their characteristics and challenges. Towards the end, the book discusses challenges and limitations encountered in computational drug repositioning.
Soft Computing for Biological Systems
This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with available information.The book also focuses on using the soft-computing approach to predict protein-protein interactions, gene expression and networks. The insights from these studies can be used in metagenomic data analysis and predicting artificial neural networks.
Risky Success
During my third cruise over the shimmering blue waters of the Mediterranean, sipping a Jaipur gin and tonic, listening to the mesmerising, husky-voiced Bonnie Tyler, I started jotting down unconnected incidents that came to mind. I was recollecting moments and not a chronological array of events.
Cyber Security
Cyber Security interface are the part of the curriculum for undergraduate and postgraduate courses in Computer Science & Engineering, Information Technology & Computer Applications. The objective of this book is to provide practical approach for real concept of cyber security. This thoughtfully organized book has been designed to provide its reader with sound foundation computer system, network security, cyber security & IT Act. The number of chapters, chapter topics and the contents of each chapter have been carefully chosen to introduce the reader to all important concepts through a single book.
