Top 6 Python molecule Projects
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EquiBind
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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gnn-lspe
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
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ScaffoldGraph
ScaffoldGraph is an open-source cheminformatics library, built using RDKit and NetworkX, for the generation and analysis of scaffold networks and scaffold trees.
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PDN
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Project mention: How would you work effectively with an extremely slow 56Kbps connection? | /r/linux | 2023-12-05Eventually I'll explore also the Mosh shell to deal with connection instabilities, but so far a disconnect would not cause any data loss, I just have to reconnect and Tmux will resume everything. Heck, I've even gone as far as visualizing molecules in 3D with ASCII MOL (https://github.com/dewberryants/asciiMol).
Index
What are some of the best open-source molecule projects in Python? This list will help you:
Project | Stars | |
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1 | EquiBind | 452 |
2 | datamol | 424 |
3 | asciiMol | 350 |
4 | gnn-lspe | 214 |
5 | ScaffoldGraph | 158 |
6 | PDN | 57 |
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