Over the last decade, computer-assisted chemical synthesis has re-emerged as a heavily researched subject in Chemoinformatics. Even though the idea of utilizing computers for chemical synthesis has existed for as long as computers themselves, the high level of reliability and innovation expected of such approaches has been repeatedly proven difficult to achieve. In recent years, however, utilizing machine learning has proven particularly promising, with novel approaches emerging frequently.
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