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The Druglike molecule pretraining strategy for drug discovery

2023-01-23

Abstract excerpt

<h4>Background: </h4> Trnasformer-based AI models have shown outstanding performance in identifying druggable candidate molecules. In most cases, models are trained on a massive amount of database of molecular information to capture the latent meaning of a given molecule. However, the desirable properties of candidate molecules include the feasibility of synthesizing them, low toxicity, and high druggability. In t...

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Literature Corpus work
d65d0d28-086f-5fe0-94b7-7aa3e21bb930
DOI
10.21203/rs.3.rs-2492051/v1
Open publication

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The Druglike molecule pretraining strategy for drug discoveryDOI 10.21203/rs.3.rs-2492051/v1
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