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A graph-based genetic algorithm and generative model/Monte Carlo tree search for the exploration of chemical space

This paper presents a comparison of a graph-based genetic algorithm (GB-GA) and machine learning (ML) results for the optimization of log P values with a constraint for synthetic accessibility and shows that the GA is as good as or better than the ML approaches for this particular property. The mole...

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Bibliografski detalji
Izdano u:Chem Sci
Glavni autor: Jensen, Jan H.
Format: Artigo
Jezik:Inglês
Izdano: Royal Society of Chemistry 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6438151/
https://ncbi.nlm.nih.gov/pubmed/30996948
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/c8sc05372c
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