Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
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Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Python package for graph neural networks in chemistry and biology
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Interactive network visualization in Python and Dash, powered by Cytoscape.js
A dependency-free cross-platform swiss army knife for PDB files.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
MCP server for spatial transcriptomics analysis through natural language interfaces.
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.