SCScore: Synthetic Complexity Learned from a Reaction Corpus.

scientific article

SCScore: Synthetic Complexity Learned from a Reaction Corpus. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1021/ACS.JCIM.7B00622
P698PubMed publication ID29309147

P50authorKlavs F. JensenQ30069671
William H. GreenQ39587844
Connor W. ColeyQ67654136
P2093author name stringLuke Rogers
P2860cites workEstimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributionsQ27702095
SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rulesQ28090714
A Short Review of Chemical Reaction Database Systems, Computer-Aided Synthesis Design, Reaction Prediction and Synthetic FeasibilityQ38916874
The Making of Reaxys—Towards Unobstructed Access to Relevant Chemistry InformationQ112002372
P433issue2
P304page(s)252-261
P577publication date2018-01-26
P1433published inJournal of Chemical Information and ModelingQ3007982
P1476titleSCScore: Synthetic Complexity Learned from a Reaction Corpus
P478volume58

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cites work (P2860)
Q108768061Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
Q112620298CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration
Q89623133Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns
Q99365339Designing and understanding light-harvesting devices with machine learning
Q94477921QSAR without borders

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