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pro vyhledávání: '"Daniel Piro"'
Autor:
Adam Soffer, Samuel Joshua Viswas, Shahar Alon, Nofar Rozenberg, Amit Peled, Daniel Piro, Dan Vilenchik, Barak Akabayov
Publikováno v:
Molecules, Vol 29, Iss 1, p 276 (2024)
MolOptimizer is a user-friendly computational toolkit designed to streamline the hit-to-lead optimization process in drug discovery. MolOptimizer extracts features and trains machine learning models using a user-provided, labeled, and small-molecule
Externí odkaz:
https://doaj.org/article/cde3e997e6ac41638690ff27ef49da4a
