Manageable safety profile, great efficiency, low liver toxicity and appropriate cost has made Oxaprozin a golden NSAID for the pain alleviation of patients with chronic musculoskeletal diseases 5, 6, 7.Īpplication of novel approaches to increase the poor solubility of drugs is an attractive approach to solve one of the challenges of pharmaceutical industry. Metabolism of this drug in the liver results in the formation of Ester and ether glucuronides as the prominent conjugated metabolites. Microsomal oxidation and glucuronic acid conjugation are known as the major procedures of Oxaprozin primary metabolism in the liver. Oxaprozin (known under the brand name Daypro) is a well-known nonsteroidal anti-inflammatory drug (NSAID), which has indication in pain/swelling management of adult patients suffering from rheumatoid arthritis, ankylosing spondylitis and soft tissue disorders 4. Recently, numerous endeavors have been made to find various efficacious and promising techniques to appropriately solve or at least mitigate the unprecedented challenges of pharmaceutical industry such as low solubility of drugs, unacceptable productivity and growing research and development (R&D) costs 1, 2, 3. Also, boosted GPR has an R2-score of 0.998 and its MAPE error is 3.929E-02, and with MAE it has an error rate of 5.024E-06. Boosted DT has an MAE error rate, an R2-score, and an MAPE of 6.806E-05, 0.980, and 4.511E-01, respectively.
We optimized and evaluated the hyper-parameters of them using standard metrics. The base models include Gaussian process regression (GPR) and decision tree (DT). To do this, the authors employed two basic models and improved them with the Adaboost ensemble method. In this paper, the prominent purpose of the authors is to predict and consequently optimize the solubility of Oxaprozin inside the CO 2SCF. Oxaprozin is an efficient off-patent nonsteroidal anti-inflammatory drug (NSAID), which is being extensively used for the pain management of patients suffering from chronic musculoskeletal disorders such as rheumatoid arthritis. Over the last decades, the application of supercritical fluids (SCFs), mainly CO 2, has found great interest as a promising solution to dominate the limitations of traditional methods including high toxicity, difficulty of control, high expense and low stability. Accurate specification of the drugs’ solubility is known as an important activity to appropriately manage the supercritical impregnation process.
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