/tools/s4-for-de-novo-drug-design
s4-for-de-novo-drug-design
molML/s4-for-de-novo-drug-design
summary
This repository provides a codebase for designing molecules using structured state-space sequence models, enabling users to pre-train and fine-tune models for de novo drug design. It simplifies the process of generating new bioactive molecules with minimal code, making it a valuable tool for researchers in drug discovery.
description
The official codebase of the paper "Chemical language modeling with structured state space sequence models"
topics
chemical-language-modelscheminformaticschemistryde-novo-drug-designdeep-learnings4smiles-stringsstate-space-models
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