Journal of Structural Chemistry, Journal Year: 2024, Volume and Issue: 65(10), P. 2029 - 2040
Published: Oct. 1, 2024
Language: Английский
Journal of Structural Chemistry, Journal Year: 2024, Volume and Issue: 65(10), P. 2029 - 2040
Published: Oct. 1, 2024
Language: Английский
Crystal Growth & Design, Journal Year: 2024, Volume and Issue: 24(12), P. 5200 - 5210
Published: June 3, 2024
The physicochemical properties of chemical compounds can be altered and optimized by cocrystallization with a suitable coformer. However, discovering coformers is difficult expensive process. Link prediction one the several techniques developed to predict new computationally. uses network known extracted from, e.g., Cambridge Structural Database (CSD) cocrystals. We have investigated link methods were able improve performance these using scoring function called "multi-steps resource allocation". Further improvements obtained examining local structure remove imperfections an algorithm previously designed us bipartise network, thus removing on global scale. By repeatedly predicting synthesizing cocrystals adding them more cocrystals, we obtain better predictions, but saturation eventually leads diminishing returns. demonstrate this for praziquantel (PZQ), drug used treat schistosomiasis. discovered 11 compound, which racemic conglomerate that could medical efficacy PZQ, present 6 cocrystal structures.
Language: Английский
Citations
3Advanced Science, Journal Year: 2025, Volume and Issue: unknown
Published: April 26, 2025
Abstract Colloidal nanoparticle self‐assembly is a key area in nanomaterials science, renowned for its ability to design metamaterials with tailored functionalities through bottom‐up approach. Over the past three decades, advancements synthesis and assembly control methods have propelled transition from single‐component binary assemblies. While has been recognized as significant concept materials design, potential intelligent customized often overlooked. It argued that future trend of nanocrystalline superlattices (BNLSs) can be analogous ‘0s’ ‘1s’ computer programming, customizing their precise these basic units could significantly expand application scope. This review briefly recaps developmental trajectory assembly, tracing evolution simple assemblies complex co‐assemblies unique property changes they induce. Of particular significance, this explores prospects co‐assembly, viewed lens ‘AI‐guided programmable assembly’. Such an approach shift paradigm passive active, leading creation new disruptive properties driving profound across multiple high‐tech fields.
Language: Английский
Citations
0Journal of Molecular Structure, Journal Year: 2025, Volume and Issue: unknown, P. 142706 - 142706
Published: May 1, 2025
Language: Английский
Citations
0Journal of Structural Chemistry, Journal Year: 2025, Volume and Issue: 66(5), P. 982 - 997
Published: May 1, 2025
Language: Английский
Citations
0Macromolecules, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 15, 2024
Language: Английский
Citations
2Journal of Structural Chemistry, Journal Year: 2024, Volume and Issue: 65(10), P. 2029 - 2040
Published: Oct. 1, 2024
Language: Английский
Citations
0