DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
Design new molecules by linking fragments together using the DiffLinker model, which helps in drug discovery.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeDiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
DiffLinker has 390 stars on GitHub. It has been forked 58 times. DiffLinker is written mainly in Python. It has been in active development since 2022. DiffLinker is available under the MIT license. Its main topics are diffusion-models, drug-design, equivariance, fragment-based-drug-discovery.
DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
DiffLinker is an open-source project. It is released under the MIT license.
Yes. DiffLinker is free and open source — you can use, modify and self-host it.
DiffLinker is available under the MIT license.
DiffLinker is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/igashov-difflinker.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.