Neural Network Prediction Model of Cocrystal Melting Temperature Based on Molecular Descriptors and Graphs
Author:
Affiliation:
1. School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, P.R. China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
American Chemical Society (ACS)
Subject
Condensed Matter Physics,General Materials Science,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.cgd.2c01441
Reference50 articles.
1. Emerging Multi-Drug Eutectics: Opportunities and Challenges
2. Using Cocrystals To Systematically Modulate Aqueous Solubility and Melting Behavior of an Anticancer Drug
3. Towards ab initio screening of co-crystal formation through lattice energy calculations and crystal structure prediction of nicotinamide, isonicotinamide, picolinamide and paracetamol multi-component crystals
4. Pharmaceutical cocrystallization: an effective approach to modulate the physicochemical properties of solid-state drugs
5. Insoluble drug delivery strategies: review of recent advances and business prospects
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