blood-brain-barrier
There are 10 repositories under blood-brain-barrier topic.
BioGenies/peptide-prediction-list
Collects software dedicated to predicting specific properties of peptides
frequencykg/BBB_calculator
Implements the blood brain barrier score described in: J. Med. Chem. 2019, 62, 21, 9824-9836 (https://doi.org/10.1021/acs.jmedchem.9b01220)
theochem/B3clf
Predictors for Blood-Brain Barrier Permeability with resampling strategies based on B3DB database.
virtualscreenlab/Sergey-Shityakov
Virtual laboratory for rational drug design and discovery at the blood-brain barrier supervised by Prof. Dr. Sergey Shityakov from Wuerzburg University, Germany
ayushnoori/molecule-synthesis
Multi-objective generative AI for designing novel brain-targeting small molecules.
andresilvapimentel/bbbp-explainer
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.
virtualscreenlab/Drug-Design-at-BBB-
Antipsychotic drugs or neuroleptics are widely used in the treatment of psychosis as a manifestation of schizophrenia and bipolar disorder. However, their effectiveness largely depends on the blood-brain barrier (BBB) permeation (pharmacokinetics, PK) and drug-receptor pharmacodynamics (PD). Therefore, in this study, we developed and implemented the in silico pipeline to design novel compounds as leads using the standard drug scaffolds with improved PK/PD properties from the standard scaffolds. As a result, the haloperidol (HAL) derivative was identified as a “magic shotgun” lead compound with better affinity to the 5-HT2A, 5-HT1D, D2, D3, and 5-HT1B receptors than the control molecule. Additionally, this hit substance was predicted to possess similar BBB permeation properties and much lower toxicological profiles in comparison to HAL. Overall, the proposed rational drug design platform for novel antipsychotic drugs based on the BBB permeation and receptor binding might be an invaluable asset for a medicinal chemist or translational pharmacologist.
GeorgeIniatis/Blood_Brain_Barrier_Drug_Prediction
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
preste-ai/Blood-Brain-Barrier
A modelisation of Blood Brain Barrier permeability through active transporters
ayushnoori/graph-bbb
Graph molecular learning to predict blood-brain-barrier penetration and CNS drug delivery.