Integrated machine learning and structural bioinformatics guided identification of novel molecular scaffolds as renin inhibitors.
- DOI
- 10.1007/s11030-026-11676-2
- Published
- 2026 Dec
- Container
- Molecular diversity
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s11030-026-11676-2,
title = {Integrated machine learning and structural bioinformatics guided identification of novel molecular scaffolds as renin inhibitors.},
author = {Talware SK and Bhati G and Srivastava G and Shukla S and Ahmed S and Siddiqi MI},
year = {2026},
journal = {Molecular diversity},
doi = {10.1007/s11030-026-11676-2},
url = {https://doi.org/10.1007/s11030-026-11676-2}
}RIS
TY - JOUR TI - Integrated machine learning and structural bioinformatics guided identification of novel molecular scaffolds as renin inhibitors. AU - Talware SK AU - Bhati G AU - Srivastava G AU - Shukla S AU - Ahmed S AU - Siddiqi MI PY - 2026 JO - Molecular diversity DO - 10.1007/s11030-026-11676-2 UR - https://doi.org/10.1007/s11030-026-11676-2 ER -
APA
SK, T., G, B., G, S., S, S., S, A., & MI, S. (2026). Integrated machine learning and structural bioinformatics guided identification of novel molecular scaffolds as renin inhibitors.. Molecular diversity. https://doi.org/10.1007/s11030-026-11676-2
Source records
- pubmed · retrieved 2026-11-10T10:57:53.466Z
- europe-pmc · retrieved 2026-11-10T10:57:53.460Z