Reinvent 4: Modern AI-driven generative molecule design.
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ABSTRACT: REINVENT 4 is a modern open-source generative AI framework for the design of small molecules. The software utilizes recurrent neural networks and transformer architectures to drive molecule generation. These generators are seamlessly embedded within the general machine learning optimization algorithms, transfer learning, reinforcement learning and curriculum learning. REINVENT 4 enables and facilitates de novo design, R-group replacement, library design, linker design, scaffold hopping and molecule optimization. This contribution gives an overview of the software and describes its design. Algorithms and their applications are discussed in detail. REINVENT 4 is a command line tool which reads a user configuration in either TOML or JSON format. The aim of this release is to provide reference
SUBMITTER: Loeffler HH
PROVIDER: S-EPMC10882833 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature
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