Literature DB >> 27368122

Support Tools in Formulation Development for Poorly Soluble Drugs.

Gudrun A Fridgeirsdottir1, Robert Harris2, Peter M Fischer1, Clive J Roberts3.   

Abstract

The need for solubility enhancement through formulation is a well-known but still problematic issue because of the numbers of poorly water-soluble drugs in development. There are several possible routes that can be taken to increase the bioavailability of drugs intended for immediate-release oral formulation. The best formulation strategy for any given drug will depend on numerous factors, including required dose, shelf life, manufacturability, and the properties of the active pharmaceutical ingredient (API). Choosing an optimal formulation and manufacturing route for a new API is therefore not a straightforward process. Currently, there are several approaches that are used in the pharmaceutical industry to select the best formulation strategy. These differ in complexity and efficiency, but most try to predict which route will best suit the API based on selected molecular parameters such as molecular weight, lipophilicity (logP), and solubility. These methods range from using no tools, trial and error methods through a variety of complex tools from small in vitro or in vivo experiments or high throughput screening, guidance maps, and decision trees to the most complex methods based on computational modelling tools. This review aims to list available support tools and explain how they are used.
Copyright © 2016 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biopharmaceutics Classification System; amorphous; bioavailability; formulation; solid dispersion

Mesh:

Substances:

Year:  2016        PMID: 27368122     DOI: 10.1016/j.xphs.2016.05.024

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  6 in total

Review 1.  Simulation Models for Prediction of Bioavailability of Medicinal Drugs-the Interface Between Experiment and Computation.

Authors:  Mahmoud E Soliman; Adeniyi T Adewumi; Oluwole B Akawa; Temitayo I Subair; Felix O Okunlola; Oluwayimika E Akinsuku; Shahzeb Khan
Journal:  AAPS PharmSciTech       Date:  2022-03-15       Impact factor: 3.246

2.  Automated high throughput pKa and distribution coefficient measurements of pharmaceutical compounds for the SAMPL8 blind prediction challenge.

Authors:  Matthew N Bahr; Aakankschit Nandkeolyar; John K Kenna; Neysa Nevins; Luigi Da Vià; Mehtap Işık; John D Chodera; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2021-10-29       Impact factor: 4.179

3.  Directly compressed rosuvastatin calcium tablets that offer hydrotropic and micellar solubilization for improved dissolution rate and extent of drug release.

Authors:  Sharonia Butt; Syed Muhammad Farid Hasan; Muhammad Mohtasheemul Hassan; Khalid M Alkharfy; Steven Henry Neau
Journal:  Saudi Pharm J       Date:  2019-05-08       Impact factor: 4.330

4.  Imidazo[1,2-a]quinoxalines Derivatives Grafted with Amino Acids: Synthesis and Evaluation on A375 Melanoma Cells.

Authors:  Adrien Chouchou; Cindy Patinote; Pierre Cuq; Pierre-Antoine Bonnet; Carine Deleuze-Masquéfa
Journal:  Molecules       Date:  2018-11-15       Impact factor: 4.411

5.  Role of Cyclodextrins and Drug Solid State Properties on Flufenamic Acid Dissolution Performance from Tablets.

Authors:  Francesca Maestrelli; Marzia Cirri; Enrico De Luca; Diletta Biagi; Paola Mura
Journal:  Pharmaceutics       Date:  2022-01-26       Impact factor: 6.321

6.  Data-Driven Modeling of the Bicalutamide Dissolution from Powder Systems.

Authors:  Aleksander Mendyk; Adam Pacławski; Joanna Szafraniec-Szczęsny; Agata Antosik; Witold Jamróz; Marian Paluch; Renata Jachowicz
Journal:  AAPS PharmSciTech       Date:  2020-03-31       Impact factor: 3.246

  6 in total

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