Prioritizing Computational Cocrystal Prediction Methods for Experimental Researchers: A Review to Find Efficient, Cost-Effective, and User-Friendly Approaches

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(22), P. 12045 - 12045

Published: Nov. 9, 2024

Pharmaceutical cocrystals offer a versatile approach to enhancing the properties of drug compounds, making them an important tool in formulation and development by improving therapeutic performance patient experience pharmaceutical products. The prediction involves using computational theoretical methods identify potential cocrystal formers understand interactions between active ingredient coformers. This process aims predict whether two or more molecules can form stable structure before performing experimental synthesis, thus saving time resources. In this review, commonly used are first overviewed then evaluated based on three criteria: efficiency, cost-effectiveness, user-friendliness. Based these considerations, we suggest researchers without strong experiences which tools should be tested as step workflow rational design cocrystals. However, optimal choice depends specific needs resources, combining from different categories powerful approach.

Language: Английский

Advancements in Omeprazole Formulations: From Technological Innovation to Release Strategies

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 4, 2025

This chapter reviews data on 72 omeprazole (OME) formulations developed in the past 5 years. The types of OME formulations, excipients and methods are analyzed depth. Data created over last years reviewed this chapter. A thorough analysis many kinds techniques is conducted. release from various variables influencing release, how it affects efficacy medication also covered review seeks to identify significant distinctions parallels between these their constituent parts by contrasting gathered.

Language: Английский

In silico cocrystal screening using COSMO-RS: A rapid and efficient approach for solubility prediction and crystal engineering

Journal of Molecular Liquids, Journal Year: 2025, Volume and Issue: unknown, P. 127841 - 127841

Published: June 1, 2025

Language: Английский