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Machine Learning in Drug Development: Part 1 - (Annual Reports in Medicinal Chemistry) by  Katherine Seley-Radtke (Hardcover) - 1 of 1

Machine Learning in Drug Development: Part 1 - (Annual Reports in Medicinal Chemistry) by Katherine Seley-Radtke (Hardcover)

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Highlights

  • Machine Learning in Drug Development: Part One, Volume 64 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field.
  • Author(s): Katherine Seley-Radtke
  • 176 Pages
  • Science, Chemistry
  • Series Name: Annual Reports in Medicinal Chemistry

Description



Book Synopsis



Machine Learning in Drug Development: Part One, Volume 64 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field. Chapters in this release include Artificial Intelligence in Small Molecule and Nucleic Acid Research: A Review, AI-aided Drug Development for Protein Degraders: Design, Lead Identification, and Optimization, AI-aided Drug Development for Protein Degraders: Biology Validation, Disease-association, Drug Repurposing, Transforming Modern Drug Discovery with Machine Learning, Artificial Intelligence in the Development of Antiviral Drugs: Progress and Applications, Artificial Intelligence for Drug Target Identification, and Machine Learning in Proteomic Biomarker Discovery.

Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W)
Weight: .99 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 176
Genre: Science
Sub-Genre: Chemistry
Series Title: Annual Reports in Medicinal Chemistry
Publisher: Academic Press
Theme: General
Format: Hardcover
Author: Katherine Seley-Radtke
Language: English
Street Date: October 24, 2025
TCIN: 1006749697
UPC: 9780443413650
Item Number (DPCI): 247-28-0318
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.992 pounds
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