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MolecularAI / REINVENT4

AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

Why this job: works in the areas we cover, but does not say which job it does

What it does

REINVENT is a molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design, molecule optimization, and other small molecule design tasks. REINVENT uses a Reinforcement Learning (RL) algorithm to generate optimized molecules compliant with a user defined property profile defined as a multi-component score. Transfer Learning (TL) can be used to create or pre-train a model that generates molecules closer to a set of input molecules.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 6 days ago
Stars
904
+8 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v4.9
Released 6 days ago
Built with
Python
99% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
99% closed
1 still open
Pull requests
56 merged
0 waiting
Releases
10
3 in the last year

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More: languages, topics and project record

Languages

  • Python 99%
  • Shell 1%
  • CSS <1%

Topics

  • ai
  • astrazeneca
  • cheminformatics
  • chemistry
  • deep-learning
  • denovo-design
  • drug-design
  • drug-discovery
  • generative-ai
  • ml
  • molecule-generation
  • neural-networks

Project record

  • JobOther AI tools
  • StatusListed
  • Commits371
  • Forks242
  • Watching25
  • Stars in 28 days+26
  • CreatedOct 20, 2023
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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