دورية أكاديمية

An Evaluation of the Potential of NMR Spectroscopy and Computational Modelling Methods to Inform Biopharmaceutical Formulations

التفاصيل البيبلوغرافية
العنوان: An Evaluation of the Potential of NMR Spectroscopy and Computational Modelling Methods to Inform Biopharmaceutical Formulations
المؤلفون: Pandya, A, Howard, MJ, Zloh, M, Dalby, PA
المصدر: Pharmaceutics , 10 (4) , Article 165. (2018)
سنة النشر: 2018
المجموعة: University College London: UCL Discovery
مصطلحات موضوعية: NMR, aggregation, excipients, formulation, molecular docking, molecular dynamics
الوصف: Protein-based therapeutics are considered to be one of the most important classes of pharmaceuticals on the market. The growing need to prolong stability of high protein concentrations in liquid form has proven to be challenging. Therefore, significant effort is being made to design formulations which can enable the storage of these highly concentrated protein therapies for up to 2 years. Currently, the excipient selection approach involves empirical high-throughput screening, but does not reveal details on aggregation mechanisms or the molecular-level effects of the formulations under storage conditions. Computational modelling approaches have the potential to elucidate such mechanisms, and rapidly screen in silico prior to experimental testing. Nuclear Magnetic Resonance (NMR) spectroscopy can also provide complementary insights into excipient⁻protein interactions. This review will highlight the underpinning principles of molecular modelling and NMR spectroscopy. It will also discuss the advancements in the applications of computational and NMR approaches in investigating excipient⁻protein interactions.
نوع الوثيقة: article in journal/newspaper
وصف الملف: text
اللغة: English
العلاقة: https://discovery.ucl.ac.uk/id/eprint/10057218/1/pharmaceutics-10-00165.pdfTest; https://discovery.ucl.ac.uk/id/eprint/10057218Test/
الإتاحة: https://discovery.ucl.ac.uk/id/eprint/10057218/1/pharmaceutics-10-00165.pdfTest
https://discovery.ucl.ac.uk/id/eprint/10057218Test/
حقوق: open
رقم الانضمام: edsbas.1FAE6D7F
قاعدة البيانات: BASE