Biophysical and Computational Tools in Drug Discovery (Topics in Medicinal Chemistry, #37)

Anil Kumar Saxena (Editor)

0 ratings • 0 reviews • 0 shelved
Book cover for Biophysical and Computational Tools in Drug Discovery

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

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 frompharmaceutical industry interested in drug design and discovery.

  • ISBN13 9783030852801
  • Publish Date 19 October 2021
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer Nature Switzerland AG
  • Edition 1st ed. 2021
  • Format Hardcover
  • Pages 402
  • Language English