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Computational Drug Discovery: Molecular Simulation for Medicinal Chemistry

  • Pooja A. Chawla
  • , Dilpreet Singh
  • , Kamal Dua
  • , Muralikrishnan Dhanasekaran
  • , Viney Chawla
  • Baba Farid University of Health Sciences
  • Chandigarh University
  • University of Technology Sydney
  • Auburn University

Research output: Book/ReportBookpeer-review

1 Scopus citations

Abstract

Computational methods and understanding computational models are important in modern drug discovery. The book focuses on computational approaches that can improve the development of in silico methodologies. It includes lead hit methods, docking algorithms, computational chiral compounds, structure-based drug design, GROMACS and NAMD, structural genomics, toxicity prediction, enzyme inhibitors and peptidomimetic therapeutics Latest developments in computer-aided drug design. Identification of molecular targets to fight drug Resistance. Case studies. Excellent read for researchers and students in the field of medicinal chemistry.

Original languageEnglish
Publisherde Gruyter
Number of pages433
Volume1
ISBN (Electronic)9783111207117
ISBN (Print)9783111206691
DOIs
StatePublished - 7 Oct 2024
Externally publishedYes

Keywords

  • Artificial intelligence
  • Computational approaches
  • Drug design
  • Machine learning
  • Medicinal chemistry

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