Applied Biophysics for Drug Discovery

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Release : 2017-07-14
Genre : Science
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Book Rating : 501/5 ( reviews)

Applied Biophysics for Drug Discovery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Biophysics for Drug Discovery write by Donald Huddler. This book was released on 2017-07-14. Applied Biophysics for Drug Discovery available in PDF, EPUB and Kindle. Applied Biophysics for Drug Discovery is a guide to new techniques and approaches to identifying and characterizing small molecules in early drug discovery. Biophysical methods are reasserting their utility in drug discovery and through a combination of the rise of fragment-based drug discovery and an increased focus on more nuanced characterisation of small molecule binding, these methods are playing an increasing role in discovery campaigns. This text emphasizes practical considerations for selecting and deploying core biophysical method, including but not limited to ITC, SPR, and both ligand-detected and protein-detected NMR. Topics covered include: • Design considerations in biophysical-based lead screening • Thermodynamic characterization of protein-compound interactions • Characterizing targets and screening reagents with HDX-MS • Microscale thermophoresis methods (MST) • Screening with Weak Affinity Chromatography • Methods to assess compound residence time • 1D-NMR methods for hit identification • Protein-based NMR methods for SAR development • Industry case studies integrating multiple biophysical methods This text is ideal for academic investigators and industry scientists planning hit characterization campaigns or designing and optimizing screening strategies.

Applied Biophysics for Drug Discovery

Download Applied Biophysics for Drug Discovery PDF Online Free

Author :
Release : 2017-10-02
Genre : Science
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Book Rating : 48X/5 ( reviews)

Applied Biophysics for Drug Discovery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Biophysics for Drug Discovery write by Donald Huddler. This book was released on 2017-10-02. Applied Biophysics for Drug Discovery available in PDF, EPUB and Kindle. Applied Biophysics for Drug Discovery is a guide to new techniques and approaches to identifying and characterizing small molecules in early drug discovery. Biophysical methods are reasserting their utility in drug discovery and through a combination of the rise of fragment-based drug discovery and an increased focus on more nuanced characterisation of small molecule binding, these methods are playing an increasing role in discovery campaigns. This text emphasizes practical considerations for selecting and deploying core biophysical method, including but not limited to ITC, SPR, and both ligand-detected and protein-detected NMR. Topics covered include: • Design considerations in biophysical-based lead screening • Thermodynamic characterization of protein-compound interactions • Characterizing targets and screening reagents with HDX-MS • Microscale thermophoresis methods (MST) • Screening with Weak Affinity Chromatography • Methods to assess compound residence time • 1D-NMR methods for hit identification • Protein-based NMR methods for SAR development • Industry case studies integrating multiple biophysical methods This text is ideal for academic investigators and industry scientists planning hit characterization campaigns or designing and optimizing screening strategies.

Biophysical and Computational Tools in Drug Discovery

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Release : 2021-10-18
Genre : Science
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Book Rating : 814/5 ( reviews)

Biophysical and Computational Tools in Drug Discovery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biophysical and Computational Tools in Drug Discovery write by Anil Kumar Saxena. This book was released on 2021-10-18. Biophysical and Computational Tools in Drug Discovery available in PDF, EPUB and Kindle. This book reviews recent physicochemical and biophysical techniques applied in drug discovery research, and it outlines the latest advances in computational drug design. Divided into 10 chapters, the book discusses about the role of structural biology in drug discovery, and offers useful application cases of several biophysical and computational methods, including time-resolved fluorometry (TRF) with Förster resonance energy transfer (FRET), X-Ray crystallography, nuclear magnetic resonance spectroscopy, mass spectroscopy, generative machine learning for inverse molecular design, quantum mechanics/molecular mechanics (QM/MM,ONIOM) and quantum molecular dynamics (QMT) methods. Particular attention is given to computational search techniques applied to peptide vaccines using novel mathematical descriptors and structure and ligand-based virtual screening techniques in drug discovery research. Given its scope, the book is a valuable resource for students, researchers and professionals from pharmaceutical industry interested in drug design and discovery.

Biophysical Techniques in Drug Discovery

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Release : 2017-11-14
Genre : Science
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Book Rating : 860/5 ( reviews)

Biophysical Techniques in Drug Discovery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biophysical Techniques in Drug Discovery write by Angeles Canales. This book was released on 2017-11-14. Biophysical Techniques in Drug Discovery available in PDF, EPUB and Kindle. Biophysical techniques are used in many key stages of the drug discovery process including in screening for new receptor ligands, in characterising drug mechanisms, and in validating data from biochemical and cellular assays. This book provides an overview of the biophysical methods applied in drug discovery today, including traditional techniques and newer developments. Perspectives from academia and industry across a spectrum of techniques are brought together in a single volume. Small and biotherapeutic approaches are covered and strengths and limitations of each technique are presented. Case studies illustrate the application of each technique in real applied examples. Finally, the book covers recent developments in areas such as electron microscopy with discussions of their possible impact on future drug discovery. This is a go-to volume for biophysicists, analytical chemists and medicinal chemists providing a broad overview of techniques of contemporary interest in drug discovery.

Deep Learning for the Life Sciences

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Release : 2019-04-10
Genre : Science
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Book Rating : 802/5 ( reviews)

Deep Learning for the Life Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning for the Life Sciences write by Bharath Ramsundar. This book was released on 2019-04-10. Deep Learning for the Life Sciences available in PDF, EPUB and Kindle. Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working