akiyamalab/cycpeptmp
Implementation of CycPeptMP, an accurate and efficient model for predicting the membrane permeability of cyclic peptides
CycPeptMP helps medicinal chemists and pharmaceutical researchers quickly estimate how well cyclic peptides can pass through cell membranes. You provide the chemical structure of a cyclic peptide, and it predicts its membrane permeability. This allows drug discovery scientists to prioritize candidates with better absorption and distribution properties.
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Use this if you need an accurate and efficient computational tool to predict the membrane permeability of cyclic peptides from their SMILES strings.
Not ideal if you are working with non-cyclic peptides or other types of molecules, as the model is specifically designed and trained for cyclic peptides.
Stars
28
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9
Language
Python
License
MIT
Category
Last pushed
May 10, 2025
Commits (30d)
0
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