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Title
Chemical biology and drug discovery / Marco F. Schmidt.
Uniform Title
Chemische Biologie. English
ISBN
9783662644126 (electronic bk.)
3662644126 (electronic bk.)
9783662644119
3662644118
Published
Berlin : Springer, [2022]
Copyright
©2022
Language
English
Language Note
Translated from German.
Description
1 online resource (217 pages) : illustrations (chiefly color)
Item Number
10.1007/978-3-662-64412-6 doi
Call Number
QH313.5.C44 S36 2022
Dewey Decimal Classification
572/.3
Summary
The focus of this textbook is on application, rather than pure knowledge transfer of the results of all chemical biological work (which would also be beyond the scope of a book). It gives the reader, through the specific selection of chemical-biological techniques and concepts, the necessary tools to be able to develop new ways of thinking and thus new therapeutic options in the complex field of chemical biology and drug development. The stated aim of this book is to provide concrete solutions and inspiration to students, (post)graduate students, and experienced scientists at universities as well as in industry in their problems. After an introduction to the problems addressed by chemical biology in drug discovery, the three levels of molecular biology dogma: DNA, RNA and proteins and their role as drug targets serve as the common thread of this book. This book is a translation of the original German 1st edition Chemische Biologie by Marco F. Schmidt, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. Marco F. Schmidt is co-founder and Chief Scientific Officer of biotx.ai Inc. which develops Artificial Intelligence for biomedical data analysis. Together with his team, he researches how machine learning can be used to identify drug targets and predict the clinical effect of drug candidates. He studied biochemistry at the FU Berlin and in Tubingen, received his PhD in chemical biology at the FMP Berlin and worked on new drug concepts at the University of Cambridge.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based upon print version of record.
Foreword
Introduction
Part I: Chemical Biology and Drug Development
Chemical Biology - a Holistic Science
Drug Development
From Genomics to Chemical Biology
Part II: DNA
DNA - blueprint of proteins
Genomic Variation
Gene Therapy and Genome Editing
Part III: RNA
RNA - information and function carrier
RNA Interference in Drug Development
Part IV: Proteins
Peptides & proteins
Proteins as drug targets
Chemical genomics - From target protein to drug
From target protein to macromolecular drug - Biologics
Chemical proteomics: From drug to target protein
Chemical genetics: validation of drug target by elucidation of signaling pathway
Chemical biology - Addressing new drug targets.
