LGAIBMNov 8, 2023

Retro-BLEU: Quantifying Chemical Plausibility of Retrosynthesis Routes through Reaction Template Sequence Analysis

arXiv:2311.06304v15 citationsh-index: 5
Originality Synthesis-oriented
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This addresses the challenge of evaluating retrosynthesis routes for chemists and researchers, but it is incremental as it adapts an existing metric to a new domain.

The paper tackled the problem of quantifying the plausibility of retrosynthesis routes by introducing Retro-BLEU, a metric adapted from BLEU, and showed it effectively differentiates between plausible and implausible routes when applied to state-of-the-art algorithms.

Computer-assisted methods have emerged as valuable tools for retrosynthesis analysis. However, quantifying the plausibility of generated retrosynthesis routes remains a challenging task. We introduce Retro-BLEU, a statistical metric adapted from the well-established BLEU score in machine translation, to evaluate the plausibility of retrosynthesis routes based on reaction template sequences analysis. We demonstrate the effectiveness of Retro-BLEU by applying it to a diverse set of retrosynthesis routes generated by state-of-the-art algorithms and compare the performance with other evaluation metrics. The results show that Retro-BLEU is capable of differentiating between plausible and implausible routes. Furthermore, we provide insights into the strengths and weaknesses of Retro-BLEU, paving the way for future developments and improvements in this field.

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