convert molecules to their ECFP4 fingerprint using rdkit
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Updated
Mar 16, 2017 - Python
convert molecules to their ECFP4 fingerprint using rdkit
ligand-based virtual screening with consensus queries
Demiurge is a Python tool for generating ML input data from simulated ¹H/¹³C NMR spectra or ECFP4 fingerprints. It uses local NMRshiftDB2 prediction and RDKit, producing ML-ready CSVs from SMILES in minutes.
A data science project completed in collaboration with AstraZeneca as part of the course DIT892. The project focused on analyzing ECFP4 fingerprint bit flipping as a method for identifying nearby and novel molecular structures.
Predicting molecular vapor pressure from ECFP4 fingerprints — MLP vs XGB ensemble study on 31k atmospheric molecules.
Reproducible benchmark of classical molecular graph descriptors against RDKit2D and ECFP4 for EGFR pIC50 prediction under scaffold and chemical-space shift.
Data-Driven Approach to Predict Polymer Glass Transition Temperature: Interpretability and Extrapolation
hacked code to bicluster molecules using rdkit and scikitlearn
Machine learning framework for Drug-Induced Autoimmunity (DIA) prediction using RDKit molecular descriptors, ECFP fingerprints, Tanimoto similarity graphs, scaffold-aware validation, class-imbalance handling and ensemble classifiers.
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