Artificial intelligence in chemistry and drug design.
- Published in:
- 2020
- By:
- Publication type:
- Editorial
Works matching IS 0920654X AND DT 2020 AND VI 34 AND IP 7
Results: 8
1
2
Revealing cytotoxic substructures in molecules using deep learning.
- Published in:
- Journal of Computer-Aided Molecular Design, 2020, v. 34, n. 7, p. 731, doi. 10.1007/s10822-020-00310-4
- By:
- Publication type:
- Article
3
Enhancing reaction-based de novo design using a multi-label reaction class recommender.
- Published in:
- Journal of Computer-Aided Molecular Design, 2020, v. 34, n. 7, p. 783, doi. 10.1007/s10822-020-00300-6
- By:
- Publication type:
- Article
4
Validating the validation: reanalyzing a large-scale comparison of deep learning and machine learning models for bioactivity prediction.
- Published in:
- Journal of Computer-Aided Molecular Design, 2020, v. 34, n. 7, p. 717, doi. 10.1007/s10822-019-00274-0
- By:
- Publication type:
- Article
5
Correction to: BRADSHAW: a system for automated molecular design.
- Published in:
- 2020
- By:
- Publication type:
- Correction Notice
6
Focused Library Generator: case of Mdmx inhibitors.
- Published in:
- Journal of Computer-Aided Molecular Design, 2020, v. 34, n. 7, p. 769, doi. 10.1007/s10822-019-00242-8
- By:
- Publication type:
- Article
7
BRADSHAW: a system for automated molecular design.
- Published in:
- Journal of Computer-Aided Molecular Design, 2020, v. 34, n. 7, p. 747, doi. 10.1007/s10822-019-00234-8
- By:
- Publication type:
- Article
8
Diversifying chemical libraries with generative topographic mapping.
- Published in:
- Journal of Computer-Aided Molecular Design, 2020, v. 34, n. 7, p. 805, doi. 10.1007/s10822-019-00215-x
- By:
- Publication type:
- Article