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
WebGL accelerated JavaScript molecular graphics library
Foundation Models for Genomics & Transcriptomics
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.
A Go package for engineering organisms.
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Official repository for the ProteinGym benchmarks
A dependency-free cross-platform swiss army knife for PDB files.
🏃 The go-to single-cell Foundation Model
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
MCP server for spatial transcriptomics analysis through natural language interfaces.
3D shape analysis using deep learning
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection
Simple webapp for generating small ligand conformers
XitoSBML - the spatial SBML plugin for ImageJ