Evaluating and clustering retrosynthesis pathways with learned strategy
With recent advances in the computer-aided synthesis planning (CASP) powered by data science and machine learning, modern CASP programs can rapidly identify thousands of potential pathways for a given target molecule. However, the lack of a holistic pathway evaluation mechanism makes it challenging...
Main Authors: | Mo, Yiming, Guan, Yanfei, Verma, Pritha, Guo, Jiang, Fortunato, Mike E, Lu, Zhaohong, Coley, Connor W, Jensen, Klavs F |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Chemical Engineering |
Format: | Article |
Language: | English |
Published: |
Royal Society of Chemistry (RSC)
2021
|
Online Access: | https://hdl.handle.net/1721.1/133304 |
Similar Items
-
Similarity based enzymatic retrosynthesis
by: Sankaranarayanan, Karthik, et al.
Published: (2022) -
Computer-Assisted Retrosynthesis Based on Molecular Similarity
by: Coley, Connor Wilson, et al.
Published: (2018) -
Artificial Intelligence for Retrosynthesis Prediction
by: Jiang, Yinjie, et al.
Published: (2025) -
Computer-assisted multistep chemoenzymatic retrosynthesis using a chemical synthesis planner
by: Sankaranarayanan, Karthik, et al.
Published: (2024) -
Improving the performance of models for one-step retrosynthesis through re-ranking
by: Lin, Min H., et al.
Published: (2022)