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1. Machine learning resources for drug design

2. Contributors

3. Inhibition of Pseudomonas aeruginosa Carbonic Anhydrases, Exploring Ciprofloxacin Functionalization Toward New Antibacterial Agents: An In-Depth Multidisciplinary Study.

4. Inhibition of Pseudomonas aeruginosaCarbonic Anhydrases, Exploring Ciprofloxacin Functionalization Toward New Antibacterial Agents: An In-Depth Multidisciplinary Study

5. Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives

8. Investigation on Novel E/Z 2-Benzylideneindan-1-One-Based Photoswitches with AChE and MAO-B Dual Inhibitory Activity

9. TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity

13. Design of enamides as new selective monoamine oxidase-B inhibitors

16. Structure-Based Identification and Design of Angiotensin Converting Enzyme-Inhibitory Peptides from Whey Proteins

17. TIRESIA and TISBE: Explainable Artificial Intelligence Based Web Platforms for the Transparent Assessment of the Developmental Toxicity of Chemicals and Drugs.

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