Identifying High-Quality Leads among Screened Anticancerous Compounds Using SMILES Representations
Published in ACS Omega, 2024
Introduces deep learning workflows using SMILES representations to identify high-quality lead candidates from chemical libraries screened against cancer targets.
Recommended citation: Kalakoti, Y., Malik, V., Sundar, D. (2024). "Identifying High-Quality Leads among Screened Anticancerous Compounds Using SMILES Representations." ACS Omega. 9(27), 29740-29750. https://doi.org/10.1021/acsomega.4c02801