"Molecular Dynamics and Machine Learning Give Insights on the ..."

Sarmistha Majumdar et al. (2023)

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DOI: 10.1021/ACS.JCIM.3C00738

access: open

type: Journal Article

metadata version: 2024-06-08

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  - https://dblp.org/rec/journals/jcisd/MajumdarPSDC23
Sarmistha Majumdar, Francesco Di Palma, Francesca Spyrakis, Sergio Decherchi, Andrea Cavalli:
Molecular Dynamics and Machine Learning Give Insights on the Flexibility-Activity Relationships in Tyrosine Kinome. J. Chem. Inf. Model. 63(15): 4814-4826 (2023)

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