Official implementation for ActFound (Nature Machine Intelligence): A bioactivity foundation model using pairwise meta-learning
-
Updated
Oct 28, 2024 - Python
Official implementation for ActFound (Nature Machine Intelligence): A bioactivity foundation model using pairwise meta-learning
The official codebase for the paper "A Hitchhiker's Guide to Deep Chemical Language Processing for Bioactivity Prediction"
NOCTURNAL: Exploring the dark chemical space. A streamlined computational drug discovery platform from target identification to optimized drug visualization. Featuring a unique molecular optimization algorithm "MutaGen" and an interactive chemical space visualization module "ChemNet". All reinforced behind a modular, fault-tolerant architecture.
QSAR Bioactivity Predictor is a Python application that allows users to create QSAR models to predict bioactivity for a specific target.
Heterogeneous siamese neural network for bioactivity prediction using novel bioactivity representation
Comparative study of explainable AI (XAI) methods for antimicrobial bioactivity prediction using Random Forest, CNN, and RGCN, trained on MIC data.
A modern, reproducible pipeline for molecular bioactivity prediction built as a final year research project. This repository integrates cheminformatics, advanced machine learning, and interactive visualization to accelerate drug discovery.
Add a description, image, and links to the bioactivity-prediction topic page so that developers can more easily learn about it.
To associate your repository with the bioactivity-prediction topic, visit your repo's landing page and select "manage topics."