Publication | Open Access
Group SELFIES: a robust fragment-based molecular string representation
54
Citations
32
References
2023
Year
EngineeringMachine LearningBiometricsMolecular BiologyMultimodal LearningGenerative SystemNatural Language ProcessingImage AnalysisString-searching AlgorithmPattern RecognitionString ProcessingSelf-supervised LearningData Re-identificationBioinformaticsGroup SelfiesMolecular Generative ModelsMolecular String RepresentationComputational BiologySystems Biology
Group SELFIES is a molecular string representation that incorporates tokens which represent substructures while maintaining robustness, which improves the performance of molecular generative models.
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