Name: Montai Therapeutics
Type: Organization
Bio: At Montai, we are pioneering with AI to treat all stages of chronic disease with human-qualified Anthromolecule™ medicines.
Twitter: MontaiHealth
Location: United States of America
Blog: https://montai.com
Montai Therapeutics's Projects
A tool for retrosynthetic planning
R based anagram code
Message Passing Neural Networks for Molecule Property Prediction
images for looker dashboards
Codebase for Cormorant Neural Networks
CReM: chemically reasonable mutations framework
Implementation of deep learning and machine learning models to translate drug induced changes in gene expression across domains.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A library for graph deep learning research
Explainer for black box models that predict molecule properties
Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
Learning to Split for Automatic Bias Detection
Implementation of Lilly Medchem Rules - J Med Chem 2012
develop a development environment for custom visualization in Looker
Initial Commit
Few-Shot Graph Learning for Molecular Property Prediction
Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
Strategies for Pre-training Graph Neural Networks
Python interface to access reference genome features (such as genes, transcripts, and exons) from Ensembl
A concise and easy-to-customize reimplementation of "ChemProp" (Yang et al, 2019) in PyTorch Geometric.
Graph Neural Network Library for PyTorch
A script to run structural alerts using the RDKit and ChEMBL
A molecular design AI tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Python library for calculting synergy of drug combinations using several drug synergy frameworks