Apremilast Cocrystals with Phenolic Coformers [PDF]
Apremilast (APR) is an anti-inflammatory drug commonly used in the treatment of psoriasis. In efforts to enhance its solubility, several cocrystals with similar structural features have been developed. This study investigates the cocrystallization of APR
Jan Cejka +2 more
exaly +6 more sources
Flavonoid-Based Cocrystals: A Comprehensive Study on Their Synthesis, Characterization, Physicochemical Properties and Applications [PDF]
Flavonoids are naturally occurring compounds with reported anticancer, antimicrobial, anti-inflammatory, cardio-protective and antioxidant effects. They are increasingly incorporated in functional foods designed to promote health, enhance well-being, and
Urszula Izabela Maciołek +4 more
doaj +2 more sources
Integrative green synthesis and molecular simulation of ibrutinib cocrystals for enhanced biopharmaceutical performance and in vivo pharmacokinetics [PDF]
Bruton's tyrosine kinase (BTK) inhibitor, Ibrutinib (IBR), belongs to class II of the Biopharmaceutics Classification System (BCS). CYP3A4 enzyme forces IBR to have a very limited oral bioavailability.
Divya Dhatri Kara +3 more
doaj +2 more sources
Solubility improvement of atorvastatin using deep eutectic solvents [PDF]
Deep eutectic solvents (DESs) in pharmaceutical investigations are still largely unknown in terms of safety, environmental acceptability, and practical use.
Yoga Windhu Wardhana +2 more
doaj +2 more sources
Enhancing water solubility of phytosterols through Co-amorphization with food-grade coformers [PDF]
Phytosterols (PS) offer significant health benefits in human diet, but its poor solubility limits its effectiveness and application. This study explored enhancing PS solubility by testing thirteen food-grade coformers, three preparation methods and ...
Yuxin Li +7 more
doaj +2 more sources
Machine learning analysis of pharmaceutical cocrystals solubility parameters in enhancing the drug properties for advanced pharmaceutical manufacturing [PDF]
A new computational framework based on machine learning was developed for prediction of Hansen solubility parameters in preparation of pharmaceutical cocrystals with improved properties.
Tareq Nafea Alharby, Bader Huwaimel
doaj +2 more sources
Carvedilol solubility enhancement by multicomponent crystallization with coformers of benzoic acid, isonicotinamide, and saccharin [PDF]
Multicomponent crystallization is a method that can modify the physicochemical properties of Carvedilol (CVD), thereby increasing its solubility. Based on in silico screening the coformers (Benzoic Acid, Isonicotinamide, and Saccharin) showed non ...
Iyan Sopyan +3 more
doaj +3 more sources
Cocrystals by Design: A Rational Coformer Selection Approach for Tackling the API Problems
Active pharmaceutical ingredients (API) with unfavorable physicochemical properties and stability present a significant challenge during their processing into final dosage forms.
Maan Singh +8 more
doaj +1 more source
Novel Cocrystals of Vonoprazan: Machine Learning-Assisted Discovery
Vonoprazan (VPZ) is the first-in-class potassium-competitive acid blocker (P-CAB), and has many advantages over proton pump inhibitors (PPIs). It is administered as a fumarate salt for the treatment of acid-related diseases, including reflux esophagitis,
Min-Jeong Lee +6 more
doaj +1 more source
Developing multicomponent crystal forms, especially cocrystals and salts, is becoming a promising pathway to improve the solubility and bioavailability of drugs.
Yujiang Xie +8 more
doaj +1 more source

