Computational Screening and Experimental Validation on Multicomponent Crystals of a New Class of Janus Kinase (JAK) Inhibitor Drug with Improved Solubility

Developing multicomponent crystal forms, especially cocrystals and salts, is becoming a promising pathway to improve the solubility and bioavailability of drugs. Herein, new multicomponent crystals of SHR0302, a new generation of Janus Kinase (JAK) inhibitor that suffers from poor solubility, were d...

Full description

Bibliographic Details
Main Authors: Yujiang Xie, Genpei Shi, Jie Sun, Si Li, Wei Gao, Yimin Hu, Chang Zu, Weiwei Tang, Junbo Gong
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Crystals
Subjects:
Online Access:https://www.mdpi.com/2073-4352/12/12/1722
_version_ 1797460719212429312
author Yujiang Xie
Genpei Shi
Jie Sun
Si Li
Wei Gao
Yimin Hu
Chang Zu
Weiwei Tang
Junbo Gong
author_facet Yujiang Xie
Genpei Shi
Jie Sun
Si Li
Wei Gao
Yimin Hu
Chang Zu
Weiwei Tang
Junbo Gong
author_sort Yujiang Xie
collection DOAJ
description Developing multicomponent crystal forms, especially cocrystals and salts, is becoming a promising pathway to improve the solubility and bioavailability of drugs. Herein, new multicomponent crystals of SHR0302, a new generation of Janus Kinase (JAK) inhibitor that suffers from poor solubility, were developed based on a cooperative approach of computational and experimental coformer screenings. Virtual screening methods, including the conductor-like screening model for realistic solvents (COSMO-RS) and molecular complementary (MC) analysis, were employed to predict the binding affinity between SHR0302 and selected coformers. The developed screening method was capable of reducing the screening database to 30 coformers from a total of 42 proposed coformers. The proof-of-concept experimental screening study was performed to demonstrate the efficiency of computational screening, wherein three new multicomponent crystalline forms were found and fully characterized by powder X-ray diffraction, thermal analysis, and IR and <sup>1</sup>H-NMR spectroscopy. Further, the measurements of the solubility property of these new multicomponent crystal forms reveal an apparent promotion compared with the drug alone. Finally, the receiver operator characteristic (ROC) curve was used to assess the prediction performance of the COSMO-RS model. It was found that the established screening model can effectively shorten the experimental screening time and efforts.
first_indexed 2024-03-09T17:10:03Z
format Article
id doaj.art-1e2b057e93bc4c65b2b479d51294e8f0
institution Directory Open Access Journal
issn 2073-4352
language English
last_indexed 2024-03-09T17:10:03Z
publishDate 2022-11-01
publisher MDPI AG
record_format Article
series Crystals
spelling doaj.art-1e2b057e93bc4c65b2b479d51294e8f02023-11-24T14:09:50ZengMDPI AGCrystals2073-43522022-11-011212172210.3390/cryst12121722Computational Screening and Experimental Validation on Multicomponent Crystals of a New Class of Janus Kinase (JAK) Inhibitor Drug with Improved SolubilityYujiang Xie0Genpei Shi1Jie Sun2Si Li3Wei Gao4Yimin Hu5Chang Zu6Weiwei Tang7Junbo Gong8School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, The Co-Innovation Center of Chemistry and Chemical Engineering of Tianjin, Tianjin University, Tianjin 300072, ChinaSchool of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, The Co-Innovation Center of Chemistry and Chemical Engineering of Tianjin, Tianjin University, Tianjin 300072, ChinaSchool of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, The Co-Innovation Center of Chemistry and Chemical Engineering of Tianjin, Tianjin University, Tianjin 300072, ChinaSchool of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, The Co-Innovation Center of Chemistry and Chemical Engineering of Tianjin, Tianjin University, Tianjin 300072, ChinaJiangsu Hengrui Pharmaceuticals Co., Ltd., Lianyungang 222000, ChinaJiangsu Hengrui Pharmaceuticals Co., Ltd., Lianyungang 222000, ChinaJiangsu Hengrui Pharmaceuticals Co., Ltd., Lianyungang 222000, ChinaSchool of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, The Co-Innovation Center of Chemistry and Chemical Engineering of Tianjin, Tianjin University, Tianjin 300072, ChinaSchool of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, The Co-Innovation Center of Chemistry and Chemical Engineering of Tianjin, Tianjin University, Tianjin 300072, ChinaDeveloping multicomponent crystal forms, especially cocrystals and salts, is becoming a promising pathway to improve the solubility and bioavailability of drugs. Herein, new multicomponent crystals of SHR0302, a new generation of Janus Kinase (JAK) inhibitor that suffers from poor solubility, were developed based on a cooperative approach of computational and experimental coformer screenings. Virtual screening methods, including the conductor-like screening model for realistic solvents (COSMO-RS) and molecular complementary (MC) analysis, were employed to predict the binding affinity between SHR0302 and selected coformers. The developed screening method was capable of reducing the screening database to 30 coformers from a total of 42 proposed coformers. The proof-of-concept experimental screening study was performed to demonstrate the efficiency of computational screening, wherein three new multicomponent crystalline forms were found and fully characterized by powder X-ray diffraction, thermal analysis, and IR and <sup>1</sup>H-NMR spectroscopy. Further, the measurements of the solubility property of these new multicomponent crystal forms reveal an apparent promotion compared with the drug alone. Finally, the receiver operator characteristic (ROC) curve was used to assess the prediction performance of the COSMO-RS model. It was found that the established screening model can effectively shorten the experimental screening time and efforts.https://www.mdpi.com/2073-4352/12/12/1722multicomponent crystalscocrystalsCOSMO-RScocrystal predictionsolubility enhancement
spellingShingle Yujiang Xie
Genpei Shi
Jie Sun
Si Li
Wei Gao
Yimin Hu
Chang Zu
Weiwei Tang
Junbo Gong
Computational Screening and Experimental Validation on Multicomponent Crystals of a New Class of Janus Kinase (JAK) Inhibitor Drug with Improved Solubility
Crystals
multicomponent crystals
cocrystals
COSMO-RS
cocrystal prediction
solubility enhancement
title Computational Screening and Experimental Validation on Multicomponent Crystals of a New Class of Janus Kinase (JAK) Inhibitor Drug with Improved Solubility
title_full Computational Screening and Experimental Validation on Multicomponent Crystals of a New Class of Janus Kinase (JAK) Inhibitor Drug with Improved Solubility
title_fullStr Computational Screening and Experimental Validation on Multicomponent Crystals of a New Class of Janus Kinase (JAK) Inhibitor Drug with Improved Solubility
title_full_unstemmed Computational Screening and Experimental Validation on Multicomponent Crystals of a New Class of Janus Kinase (JAK) Inhibitor Drug with Improved Solubility
title_short Computational Screening and Experimental Validation on Multicomponent Crystals of a New Class of Janus Kinase (JAK) Inhibitor Drug with Improved Solubility
title_sort computational screening and experimental validation on multicomponent crystals of a new class of janus kinase jak inhibitor drug with improved solubility
topic multicomponent crystals
cocrystals
COSMO-RS
cocrystal prediction
solubility enhancement
url https://www.mdpi.com/2073-4352/12/12/1722
work_keys_str_mv AT yujiangxie computationalscreeningandexperimentalvalidationonmulticomponentcrystalsofanewclassofjanuskinasejakinhibitordrugwithimprovedsolubility
AT genpeishi computationalscreeningandexperimentalvalidationonmulticomponentcrystalsofanewclassofjanuskinasejakinhibitordrugwithimprovedsolubility
AT jiesun computationalscreeningandexperimentalvalidationonmulticomponentcrystalsofanewclassofjanuskinasejakinhibitordrugwithimprovedsolubility
AT sili computationalscreeningandexperimentalvalidationonmulticomponentcrystalsofanewclassofjanuskinasejakinhibitordrugwithimprovedsolubility
AT weigao computationalscreeningandexperimentalvalidationonmulticomponentcrystalsofanewclassofjanuskinasejakinhibitordrugwithimprovedsolubility
AT yiminhu computationalscreeningandexperimentalvalidationonmulticomponentcrystalsofanewclassofjanuskinasejakinhibitordrugwithimprovedsolubility
AT changzu computationalscreeningandexperimentalvalidationonmulticomponentcrystalsofanewclassofjanuskinasejakinhibitordrugwithimprovedsolubility
AT weiweitang computationalscreeningandexperimentalvalidationonmulticomponentcrystalsofanewclassofjanuskinasejakinhibitordrugwithimprovedsolubility
AT junbogong computationalscreeningandexperimentalvalidationonmulticomponentcrystalsofanewclassofjanuskinasejakinhibitordrugwithimprovedsolubility