AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge
Authors
Keywords
-
Journal
Journal of Chemical Information and Modeling
Volume 62, Issue 6, Pages 1357-1367
Publisher
American Chemical Society (ACS)
Online
2022-03-09
DOI
10.1021/acs.jcim.1c01074
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Chemist Ex Machina: Advanced Synthesis Planning by Computers
- (2021) Karol Molga et al. ACCOUNTS OF CHEMICAL RESEARCH
- kGCN: a graph-based deep learning framework for chemical structures
- (2020) Ryosuke Kojima et al. Journal of Cheminformatics
- Design, synthesis and biological evaluation of potent EGFR kinase inhibitors against 19D/T790M/C797S mutation
- (2020) Zhicheng Su et al. BIOORGANIC & MEDICINAL CHEMISTRY LETTERS
- Facile Synthesis of Kwakhurin, a Marker Compound of Pueraria mirifica and Its Quantitative NMR Analysis for Standardization as a Reagent
- (2020) Genichiro Tsuji et al. CHEMICAL & PHARMACEUTICAL BULLETIN
- Endeavors towards transformation of M. tuberculosis thymidylate kinase (MtbTMPK) inhibitors into potential antimycobacterial agents
- (2020) Yanlin Jian et al. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
- Design, synthesis, and electrophysiological evaluation of NS6740 derivatives: Exploration of the structure-activity relationship for alpha7 nicotinic acetylcholine receptor silent activation
- (2020) Maria Chiara Pismataro et al. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
- Discovery of Phthalazinone Derivatives as Novel Hepatitis B Virus Capsid Inhibitors
- (2020) Wuhong Chen et al. JOURNAL OF MEDICINAL CHEMISTRY
- Antiproliferative Flavanoid Dimers Isolated from Brazilian Red Propolis
- (2020) Thais P. Banzato et al. JOURNAL OF NATURAL PRODUCTS
- Molecular Machine Learning: The Future of Synthetic Chemistry?
- (2020) Philipp M. Pflüger et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Computational planning of the synthesis of complex natural products
- (2020) Barbara Mikulak-Klucznik et al. NATURE
- CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration
- (2020) Ryosuke Shibukawa et al. Journal of Cheminformatics
- AiZynthFinder: a fast, robust and flexible open-source software for retrosynthetic planning
- (2020) Samuel Genheden et al. Journal of Cheminformatics
- RDChiral: An RDKit Wrapper for Handling Stereochemistry in Retrosynthetic Template Extraction and Application
- (2019) Connor W. Coley et al. Journal of Chemical Information and Modeling
- Learning Retrosynthetic Planning through Simulated Experience
- (2019) John S. Schreck et al. ACS Central Science
- A robotic platform for flow synthesis of organic compounds informed by AI planning
- (2019) Connor W. Coley et al. SCIENCE
- Molecular Transformer: A Model for Uncertainty-Calibrated Chemical Reaction Prediction
- (2019) Philippe Schwaller et al. ACS Central Science
- Synthetic organic chemistry driven by artificial intelligence
- (2019) A. Filipa de Almeida et al. Nature Reviews Chemistry
- Synergy Between Expert and Machine-Learning Approaches Allows for Improved Retrosynthetic Planning
- (2019) Tomasz Badowski et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks
- (2019) Shoichi Ishida et al. Journal of Chemical Information and Modeling
- Algorithmic Discovery of Tactical Combinations for Advanced Organic Syntheses
- (2019) Ewa P. Gajewska et al. Chem
- Machine Learning in Computer-Aided Synthesis Planning
- (2018) Connor W. Coley et al. ACCOUNTS OF CHEMICAL RESEARCH
- Opportunities and obstacles for deep learning in biology and medicine
- (2018) Travers Ching et al. Journal of the Royal Society Interface
- Efficient Syntheses of Diverse, Medicinally Relevant Targets Planned by Computer and Executed in the Laboratory
- (2018) Tomasz Klucznik et al. Chem
- Planning chemical syntheses with deep neural networks and symbolic AI
- (2018) Marwin H. S. Segler et al. NATURE
- ChEMBL: towards direct deposition of bioassay data
- (2018) David Mendez et al. NUCLEIC ACIDS RESEARCH
- Computer-Assisted Synthetic Planning: The End of the Beginning
- (2016) Sara Szymkuć et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- ZINC 15 – Ligand Discovery for Everyone
- (2015) Teague Sterling et al. Journal of Chemical Information and Modeling
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Time-Split Cross-Validation as a Method for Estimating the Goodness of Prospective Prediction.
- (2013) Robert P. Sheridan Journal of Chemical Information and Modeling
- Parallel Optimization of Synthetic Pathways within the Network of Organic Chemistry
- (2012) Mikołaj Kowalik et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- A Survey of Monte Carlo Tree Search Methods
- (2012) Cameron B. Browne et al. IEEE Transactions on Computational Intelligence and AI in Games
- Medicinal chemistry for 2020
- (2011) Seetharama D Satyanarayanajois et al. Future Medicinal Chemistry
- Route Designer: A Retrosynthetic Analysis Tool Utilizing Automated Retrosynthetic Rule Generation
- (2009) James Law et al. Journal of Chemical Information and Modeling
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now