Computational Modelling for Formulation Design
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-96-4154-3_2
Reference162 articles.
1. Ahirwar K, Shukla R. Preformulation studies: a versatile tool in formulation design. In: Drug formulation design. London: IntechOpen; 2023. https://www.intechopen.com/chapters/86211
2. Majee SB, Biswas GR. Computational methods in preformulation study for pharmaceutical solid dosage forms of therapeutic proteins. Phys Sci Rev. 2017;2(6).
3. Desu PK, Vaishnavi G, Divya K, Lakshmi U. An overview on preformulation studies. Indo Am J Pharm Sci. 2015;2(10):1399–407.
4. Liao C, Nicklaus MC. Comparison of nine programs predicting p K a values of pharmaceutical substances. J Chem Inf Model. 2009;49(12):2801–12.
5. Işık M, Rustenburg AS, Rizzi A, Gunner MR, Mobley DL, Chodera JD. Overview of the SAMPL6 pKa challenge: evaluating small molecule microscopic and macroscopic pKa predictions. J Comput Aided Mol Des. 2021;35(2):131–66.
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