SCScore: Synthetic Complexity Learned from a Reaction Corpus

By Connor W. Coley, Luke Rogers, William H. Green Jr., Klavs F. Jensen. Journal of Chemical Information and Modeling, 2018

326 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Materials Chemistry, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/13cb2ce917199b0a758aca7e776f851a53d79d17

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. A. Pais
2. Tânia F Cova

In Materials Chemistry

1. A. Pais
2. Tânia F Cova

In Molecular Biology

1. A. Pais
2. Tânia F Cova

Citations in the corpus

• Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns (2019, background): “More recently Coley et al. (2018b) have put forward a new definition addressing the synthetic complexity in order to compare with the expected number of reaction steps required for producing target molecules, with known compounds as reasonable starting materials.”