Rajaei, Flora, Minoccheri, Cristian, Wittrup, Emily et al. (4 more authors) (2024) AI-based Computational Methods in Early Drug Discovery and Post Market Drug Assessment:A Survey. IEEE/ACM Transactions on Computational Biology and Bioinformatics. pp. 97-115. ISSN: 1545-5963
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | © 2024 The Authors |
| Dates: |
|
| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
| Depositing User: | Pure (York) |
| Date Deposited: | 13 Nov 2024 12:00 |
| Last Modified: | 20 Sep 2025 02:18 |
| Published Version: | https://doi.org/10.1109/TCBB.2024.3492708 |
| Status: | Published |
| Refereed: | Yes |
| Identification Number: | 10.1109/TCBB.2024.3492708 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219610 |
Download
Filename: AI-Based_Computational_Methods_in_Early_Drug_Discovery_and_Post_Market_Drug_Assessment_A_Survey.pdf
Description: AI-Based Computational Methods in Early Drug Discovery and Post Market Drug Assessment: A Survey
Licence: CC-BY-NC-ND 2.5

CORE (COnnecting REpositories)
CORE (COnnecting REpositories)