Matteo Guidetti, Rolf Hilfiker, Susan M. De Paul, Annette Bauer-Brandl, Fritz Blatter and Martin Kuentz*,
{"title":"利用计算工具和半自动高通量筛选发现具有增强溶出度的西尼地平共晶","authors":"Matteo Guidetti, Rolf Hilfiker, Susan M. De Paul, Annette Bauer-Brandl, Fritz Blatter and Martin Kuentz*, ","doi":"10.1021/acs.cgd.5c0018410.1021/acs.cgd.5c00184","DOIUrl":null,"url":null,"abstract":"<p >Cocrystals are an attractive option for overcoming drug limitations, such as a low dissolution rate and absorption of poorly water-soluble compounds. Nevertheless, the discovery of new cocrystals remains a trial-and-error approach in which hundreds of coformers and several experimental methods are often tested. To streamline the cocrystal screening, computational methods can be used to select the coformers most likely to form a cocrystal, while high-throughput screening (HTS) approaches can rapidly screen them experimentally. In this manuscript, a new cocrystal of the extremely poorly soluble drug cilnidipine (solubility ≈30 ng/mL, 0.06 μM) was successfully discovered by applying HTS approaches. Only one cocrystal resulted from the screening with a total of 52 coformers, whereby the computational approach molecular complementarity successfully ranked this coformer (<i>p</i>-toluenesulfonamide) at the third position of the screening list. Dissolution studies conducted on the cocrystal in blank FaSSIF (fasted-state simulated intestinal fluid) and FaSSIF pH 6.5 revealed enhanced drug dissolution with a maximum achieved supersaturation equal to seven times the solubility of the crystalline drug. Dissolution rates of drug and coformer were compared for better mechanistic understanding of the cocrystal dissolution–supersaturation–precipitation behavior. The case of cilnidipine with a rare occurrence of cocrystals emphasized the importance of using joint computational and HTS approaches to enable successful cocrystal identification for pharmaceutical development.</p><p >A new cocrystal of cilnidipine with <i>p</i>-toluenesulfonamide, which exhibits enhanced dissolution properties, was discovered by using a combined computational and high-throughput cocrystal screening approach. The complementarity score method effectively identified <i>p</i>-toluenesulfonamide as one of the top-ranked coformer candidates, placed 3rd out of 52 coformers.</p>","PeriodicalId":34,"journal":{"name":"Crystal Growth & Design","volume":"25 10","pages":"3374–3385 3374–3385"},"PeriodicalIF":3.2000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acs.cgd.5c00184","citationCount":"0","resultStr":"{\"title\":\"Discovery of Cilnidipine Cocrystals with Enhanced Dissolution by the Use of Computational Tools and Semiautomatic High-Throughput Screening\",\"authors\":\"Matteo Guidetti, Rolf Hilfiker, Susan M. De Paul, Annette Bauer-Brandl, Fritz Blatter and Martin Kuentz*, \",\"doi\":\"10.1021/acs.cgd.5c0018410.1021/acs.cgd.5c00184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Cocrystals are an attractive option for overcoming drug limitations, such as a low dissolution rate and absorption of poorly water-soluble compounds. Nevertheless, the discovery of new cocrystals remains a trial-and-error approach in which hundreds of coformers and several experimental methods are often tested. To streamline the cocrystal screening, computational methods can be used to select the coformers most likely to form a cocrystal, while high-throughput screening (HTS) approaches can rapidly screen them experimentally. In this manuscript, a new cocrystal of the extremely poorly soluble drug cilnidipine (solubility ≈30 ng/mL, 0.06 μM) was successfully discovered by applying HTS approaches. Only one cocrystal resulted from the screening with a total of 52 coformers, whereby the computational approach molecular complementarity successfully ranked this coformer (<i>p</i>-toluenesulfonamide) at the third position of the screening list. Dissolution studies conducted on the cocrystal in blank FaSSIF (fasted-state simulated intestinal fluid) and FaSSIF pH 6.5 revealed enhanced drug dissolution with a maximum achieved supersaturation equal to seven times the solubility of the crystalline drug. Dissolution rates of drug and coformer were compared for better mechanistic understanding of the cocrystal dissolution–supersaturation–precipitation behavior. The case of cilnidipine with a rare occurrence of cocrystals emphasized the importance of using joint computational and HTS approaches to enable successful cocrystal identification for pharmaceutical development.</p><p >A new cocrystal of cilnidipine with <i>p</i>-toluenesulfonamide, which exhibits enhanced dissolution properties, was discovered by using a combined computational and high-throughput cocrystal screening approach. 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Discovery of Cilnidipine Cocrystals with Enhanced Dissolution by the Use of Computational Tools and Semiautomatic High-Throughput Screening
Cocrystals are an attractive option for overcoming drug limitations, such as a low dissolution rate and absorption of poorly water-soluble compounds. Nevertheless, the discovery of new cocrystals remains a trial-and-error approach in which hundreds of coformers and several experimental methods are often tested. To streamline the cocrystal screening, computational methods can be used to select the coformers most likely to form a cocrystal, while high-throughput screening (HTS) approaches can rapidly screen them experimentally. In this manuscript, a new cocrystal of the extremely poorly soluble drug cilnidipine (solubility ≈30 ng/mL, 0.06 μM) was successfully discovered by applying HTS approaches. Only one cocrystal resulted from the screening with a total of 52 coformers, whereby the computational approach molecular complementarity successfully ranked this coformer (p-toluenesulfonamide) at the third position of the screening list. Dissolution studies conducted on the cocrystal in blank FaSSIF (fasted-state simulated intestinal fluid) and FaSSIF pH 6.5 revealed enhanced drug dissolution with a maximum achieved supersaturation equal to seven times the solubility of the crystalline drug. Dissolution rates of drug and coformer were compared for better mechanistic understanding of the cocrystal dissolution–supersaturation–precipitation behavior. The case of cilnidipine with a rare occurrence of cocrystals emphasized the importance of using joint computational and HTS approaches to enable successful cocrystal identification for pharmaceutical development.
A new cocrystal of cilnidipine with p-toluenesulfonamide, which exhibits enhanced dissolution properties, was discovered by using a combined computational and high-throughput cocrystal screening approach. The complementarity score method effectively identified p-toluenesulfonamide as one of the top-ranked coformer candidates, placed 3rd out of 52 coformers.
期刊介绍:
The aim of Crystal Growth & Design is to stimulate crossfertilization of knowledge among scientists and engineers working in the fields of crystal growth, crystal engineering, and the industrial application of crystalline materials.
Crystal Growth & Design publishes theoretical and experimental studies of the physical, chemical, and biological phenomena and processes related to the design, growth, and application of crystalline materials. Synergistic approaches originating from different disciplines and technologies and integrating the fields of crystal growth, crystal engineering, intermolecular interactions, and industrial application are encouraged.