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Fragment databases from screened ligands for drug discovery (FDSL-DD)

  • Published:2024-03 Issue: Volume:127 Page:108669
  • ISSN:1093-3263
  • Container-title:Journal of Molecular Graphics and Modelling
  • language:en
  • Short-container-title:Journal of Molecular Graphics and Modelling

Author:

Wilson Jerica,Sokhansanj Bahrad A.,Chong Wei Chuen,Chandraghatgi Rohan,Rosen Gail L.,Ji Hai-Feng

Funder

NSF

Publisher

Elsevier BV

Subject

Materials Chemistry,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Spectroscopy

Reference31 articles.

1. Why 90% of clinical drug development fails and how to improve it?;Sun;Acta Pharm. Sin. B,2022

2. Computational approaches streamlining drug discovery;Sadybekov;Nature,2023

3. A critical overview of computational approaches employed for COVID-19 drug discovery;Muratov;Chem. Soc. Rev.,2021

4. Artificial intelligence to deep learning: machine intelligence approach for drug discovery;Gupta;Mol. Divers.,2021

5. Big data and artificial intelligence modeling for drug discovery;Zhu;Annu. Rev. Pharmacol. Toxicol.,2020
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