LLM for Drug Editing, ICLR 2024
- chatgpt
- conversation
- drug
- drug-discovery
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LLM for Drug Editing, ICLR 2024
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Optimising chemical reactions using machine learning
TypeDB Bio: Biomedical Knowledge Graph
Variations on Kirby & Paris' hydra battles and other entertaining math in Coq (collaborative, documented, includes exercises) [maintainer=@Casteran]
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
Quartz - A Crystal Modeling & Simulation framework
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).