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Templated Nucleation of Clotrimazole and Ketoprofen on Polymer Substrates.
Bellucci, Michael A; Yuan, Lina; Woollam, Grahame R; Wang, Bing; Fang, Liwen; Zhou, Yunfei; Greenwell, Chandler; Sekharan, Sivakumar; Ling, Xiaolan; Sun, GuangXu.
Afiliación
  • Bellucci MA; XtalPi Inc., 245 Main St, Second Floor, Cambridge, Massachusetts 02142, United States.
  • Yuan L; China Novartis Institutes for BioMedical Research Co., Ltd., 4218 Jinke Road, Zhanjiang, Shanghai 201203, China.
  • Woollam GR; Novartis Pharma AG, Postfach, Basel 4002, Switzerland.
  • Wang B; Shenzhen Jingtai Technology Co., Ltd., International Biomedical Innovation Park II 3F, No. 2 Hongliu Road, Futian District, Shenzhen 518100, China.
  • Fang L; Shenzhen Jingtai Technology Co., Ltd., International Biomedical Innovation Park II 3F, No. 2 Hongliu Road, Futian District, Shenzhen 518100, China.
  • Zhou Y; Shenzhen Jingtai Technology Co., Ltd., International Biomedical Innovation Park II 3F, No. 2 Hongliu Road, Futian District, Shenzhen 518100, China.
  • Greenwell C; XtalPi Inc., 245 Main St, Second Floor, Cambridge, Massachusetts 02142, United States.
  • Sekharan S; XtalPi Inc., 245 Main St, Second Floor, Cambridge, Massachusetts 02142, United States.
  • Ling X; China Novartis Institutes for BioMedical Research Co., Ltd., 4218 Jinke Road, Zhanjiang, Shanghai 201203, China.
  • Sun G; Shenzhen Jingtai Technology Co., Ltd., International Biomedical Innovation Park II 3F, No. 2 Hongliu Road, Futian District, Shenzhen 518100, China.
Mol Pharm ; 21(9): 4576-4588, 2024 Sep 02.
Article en En | MEDLINE | ID: mdl-39163735
ABSTRACT
The use of different template surfaces in crystallization experiments can directly influence the nucleation kinetics, crystal growth, and morphology of active pharmaceutical ingredients (APIs). Consequently, templated nucleation is an attractive approach to enhance crystal nucleation kinetics and preferentially nucleate desired crystal polymorphs for solid-form drug molecules, particularly large and flexible molecules that are difficult to crystallize. Herein, we investigate the effect of polymer templates on the crystal nucleation of clotrimazole and ketoprofen with both experiments and computational methods. Crystallization was carried out in toluene solvent for both APIs with a template library consisting of 12 different polymers. In complement to the experimental studies, we developed a computational workflow based on molecular dynamics (MD) and derived descriptors from the simulations to score and rank API-polymer interactions. The descriptors were used to measure the energy of interaction (EOI), hydrogen bonding, and rugosity (surface roughness) similarity between the APIs and polymer templates. We used a variety of machine learning models (14 in total) along with these descriptors to predict the crystallization outcome of the polymer templates. We found that simply rank-ordering the polymers by their API-polymer interaction energy descriptors yielded 92% accuracy in predicting the experimental outcome for clotrimazole and ketoprofen. The most accurate machine learning model for both APIs was found to be a random forest model. Using these models, we were able to predict the crystallization outcomes for all polymers. Additionally, we have performed a feature importance analysis using the trained models and found that the most predictive features are the energy descriptors. These results demonstrate that API-polymer interaction energies are correlated with heterogeneous crystallization outcomes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polímeros / Cetoprofeno / Clotrimazol / Cristalización / Simulación de Dinámica Molecular Idioma: En Revista: Mol Pharm Asunto de la revista: BIOLOGIA MOLECULAR / FARMACIA / FARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polímeros / Cetoprofeno / Clotrimazol / Cristalización / Simulación de Dinámica Molecular Idioma: En Revista: Mol Pharm Asunto de la revista: BIOLOGIA MOLECULAR / FARMACIA / FARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos