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Co-crystal nanoarchitectonics as an emerging strategy in attenuating cancer: Fundamentals and applications
Cancer ranks as the second foremost cause of death in various corners of the globe. The
clinical uses of assorted anticancer therapeutics have been limited owing to the poor …
clinical uses of assorted anticancer therapeutics have been limited owing to the poor …
[HTML][HTML] Cocrystals and drug–drug cocrystals of anticancer drugs: A perception towards screening techniques, preparation, and enhancement of drug properties
The most favored approach for drug administration is the oral route. Several anticancer
drugs come under this category and mostly lack solubility and oral bioavailability, which are …
drugs come under this category and mostly lack solubility and oral bioavailability, which are …
Artificial intelligence assisted pharmaceutical crystallization
Z Zhu, Y Zhang, Z Wang, W Tang, J Wang… - Crystal Growth & …, 2024 - ACS Publications
The ever-increasing demand for novel drug development has spurred the adaptation of
conventional research methods in the era of artificial intelligence. Pharmaceutical …
conventional research methods in the era of artificial intelligence. Pharmaceutical …
Cocrystal virtual screening based on the XGBoost machine learning model
D Yang, L Wang, P Yuan, Q An, B Su, M Yu… - Chinese Chemical …, 2023 - Elsevier
Co-crystal formation can improve the physicochemical properties of a compound, thus
enhancing its druggability. Therefore, artificial intelligence-based co-crystal virtual screening …
enhancing its druggability. Therefore, artificial intelligence-based co-crystal virtual screening …
Efficient Screening of Coformers for Active Pharmaceutical Ingredient Cocrystallization
IJ Sugden, DE Braun, DH Bowskill… - Crystal Growth & …, 2022 - ACS Publications
Controlling the physical properties of solid forms for active pharmaceutical ingredients (APIs)
through cocrystallization is an important part of drug product development. However, it is …
through cocrystallization is an important part of drug product development. However, it is …
Speeding up the cocrystallization process: Machine learning-combined methods for the prediction of multicomponent systems
Pharmaceutical cocrystals are crystalline materials composed of at least two molecules, ie,
an active pharmaceutical ingredient (API) and a coformer, assembled by noncovalent forces …
an active pharmaceutical ingredient (API) and a coformer, assembled by noncovalent forces …
Machine learning-guided prediction of cocrystals using point cloud-based molecular representation
The design and synthesis of cocrystals have emerged as promising crystal engineering
strategies for enhancing the physicochemical properties of a diverse range of target …
strategies for enhancing the physicochemical properties of a diverse range of target …
General graph neural network-based model to accurately predict cocrystal density and insight from data quality and feature representation
J Guo, M Sun, X Zhao, C Shi, H Su… - Journal of Chemical …, 2023 - ACS Publications
Cocrystal engineering as an effective way to modify solid-state properties has inspired great
interest from diverse material fields while cocrystal density is an important property closely …
interest from diverse material fields while cocrystal density is an important property closely …
[HTML][HTML] Molecular descriptors property prediction using transformer-based approach
In this study, we introduce semi-supervised machine learning models designed to predict
molecular properties. Our model employs a two-stage approach, involving pre-training and …
molecular properties. Our model employs a two-stage approach, involving pre-training and …
Transformer-based models for chemical SMILES representation: A comprehensive literature review
Pre-trained chemical language models (CLMs) have attracted increasing attention within the
domains of cheminformatics and bioinformatics, inspired by their remarkable success in the …
domains of cheminformatics and bioinformatics, inspired by their remarkable success in the …