May 2, 2024Open Access

SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways

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SynFlowNet consistently generates synthetically feasible candidate molecules with molecular weight and protein binding affinity comparable to validated active compounds.
The generative modelling framework uses chemically validated reactions and reactants within a GFlowNet action space to sequentially construct diverse candidate structures.
Guaranteed synthesis pathways resolve common laboratory accessibility barriers in molecular design, which may accelerate the practical discovery of viable drug candidates.

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Implication

Computational study demonstrates synthetically feasible molecule generation in drug discovery, highlighting practical candidate design with guaranteed pathways.

Cite This Study

Cretu et al. (2024) studied this question.

synapsesocial.com/papers/68e6beabb6db64358763ed24 https://doi.org/10.48550/arxiv.2405.01155

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Implication

Computational study demonstrates synthetically feasible molecule generation in drug discovery, highlighting practical candidate design with guaranteed pathways.

SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways

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Implication

Cite This Study

SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways

Key Points

Discussion

Implication

Cite This Study

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