Cheminformatics and Bioinformatics at the Interface with Systems Biology (Hardcover)

Aman Chandra Kaushik

ISBN 10: 1839161620 / ISBN 13: 9781839161629

Published by Royal Society of Chemistry, Cambridge, 2023

About this Item

Hardcover. The cost of drug development is increasing, and investment returns are decreasing. The number of drugs approved by FDA is in decline in terms of the number of new molecular entities (NMEs). Amongst the reasons noted for this are the adverse side effects and reduced efficiency of many of the potential compounds. This is a problem both for the pharmaceutical industry and for those suffering from diseases for which there are no or few available treatments.Advances in computational chemistry, computer science, structural biology and molecular biology have all contributed to improved drug design strategies and reduced the time taken for drug discovery. By interfacing cheminformatics and bioinformatics with systems biology we can create a powerful tool for understanding the mechanisms of patho-physiological systems and identifying lead molecules for various diseases. This integration of drug design approaches can also play a crucial role in the prediction and rationalization of drug effects and side effects, improving safety and efficacy and leading to better approval rates.Addressing the lack of knowledge on the fundamental aspects of the various computational tools for drug discovery, this book is a compilation of recent bioinformatics and cheminformatics approaches, and their integration with systems biology. Written primarily for researchers and academics in chem- and bioinformatics, it may also be a useful resource for advanced-level students. Addressing the fundamental aspects of the various computational tools for drug discovery, this book compiles recent bioinformatics and chemoinformatics approaches, and their integration with systems biology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781839161629

Bibliographic Details

• Title: Cheminformatics and Bioinformatics at the Interface with Systems Biology (Hardcover)
• Publisher: Royal Society of Chemistry, Cambridge
• Publication Date: 2023
• Language: English
• ISBN 10: 1839161620
• ISBN 13: 9781839161629
• Binding: Hardcover
• Condition: new

About this title

Synopsis

The cost of drug development is increasing, and investment returns are decreasing. The number of drugs approved by FDA is in decline in terms of the number of new molecular entities (NMEs). Amongst the reasons noted for this are the adverse side effects and reduced efficiency of many of the potential compounds. This is a problem both for the pharmaceutical industry and for those suffering from diseases for which there are no or few available treatments.

Advances in computational chemistry, computer science, structural biology and molecular biology have all contributed to improved drug design strategies and reduced the time taken for drug discovery. By interfacing cheminformatics and bioinformatics with systems biology we can create a powerful tool for understanding the mechanisms of patho-physiological systems and identifying lead molecules for various diseases. This integration of drug design approaches can also play a crucial role in the prediction and rationalization of drug effects and side effects, improving safety and efficacy and leading to better approval rates.

Addressing the lack of knowledge on the fundamental aspects of the various computational tools for drug discovery, this book is a compilation of recent bioinformatics and cheminformatics approaches, and their integration with systems biology. Written primarily for researchers and academics in chem- and bioinformatics, it may also be a useful resource for advanced-level students.

About the Author

Dongqing Wei is a professor of Bioinformatics at Shanghai Jiaotong University and editor-in-chief of “Interdisciplinary Sciences- Computational Life Sciences”. Over the past three decades he has made many ground-breaking contributions to the development of AI and molecular simulation techniques and their interdisciplinary applications to systems of ever-increasing complexity. Published more than 350 papers, 9 monographs with 8000 SCI citations and an H -index of 55.