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A Data-Driven Approach for Interpretable and Efficient Predictive Modeling: A Case Study in SARS-CoV-2 Protease Inhibitor Discovery Through Feature Selection
| Title: | A Data-Driven Approach for Interpretable and Efficient Predictive Modeling: A Case Study in SARS-CoV-2 Protease Inhibitor Discovery Through Feature Selection | Authors: | Stanković, Branislav   ; Oh, Sang-Yong; Ramljak, Dušan |
Issue Date: | 2026 | Publication: | Pharmaceuticals | ISSN: | 1424-8247 Pharmaceuticals Search Idenfier |
Type: | Article | Collation: | vol. 19 br. 3 str. 498-498 | DOI: | 10.3390/ph19030498 | WoS-ID: | 001726939300001 | URI: | https://vinar.vin.bg.ac.rs/handle/123456789/16623 https://enauka.gov.rs/handle/123456789/1036274 |
Project: | Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200017 (Univerzitet u Beogradu, Institut za nuklearne nauke Vinča, Beograd-Vinča) | M-category: | 21aM21a |