Collects software dedicated to predicting specific properties of peptides
-
Updated
Nov 25, 2022 - Shell
Collects software dedicated to predicting specific properties of peptides
Implements the blood brain barrier score described in: J. Med. Chem. 2019, 62, 21, 9824-9836 (https://doi.org/10.1021/acs.jmedchem.9b01220)
Predictors for Blood-Brain Barrier Permeability with resampling strategies based on B3DB database.
Virtual laboratory for rational drug design and discovery at the blood-brain barrier supervised by Prof. Dr. Sergey Shityakov from Wuerzburg University, Germany
BBBP Explainer is a code to generate structural alerts of blood-brain barrier penetrating and non-penetrating drugs using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from BBBP dataset.
Multi-objective generative AI for designing novel brain-targeting small molecules.
A modelisation of Blood Brain Barrier permeability through active transporters
Graph molecular learning to predict blood-brain-barrier penetration and CNS drug delivery.
Individual project for 4th year where models were trained to predict whether a drug can pass through the Blood-Brain Barrier using its chemical properties but also its side effects and indications. Notebooks & Streamlit App Available
Add a description, image, and links to the blood-brain-barrier topic page so that developers can more easily learn about it.
To associate your repository with the blood-brain-barrier topic, visit your repo's landing page and select "manage topics."