A formulation dataset of poly(lactide-co-glycolide) nanoparticles for small molecule delivery

Published: 26 June 2025| Version 1 | DOI: 10.17632/sbjf5csrdm.1
Contributors:
Anita Goren, Zeqing Bao, Juan Pablo Martinez Lozano, Christine Allen

Description

Poly(lactide-co-glycolide) (PLGA) nanoparticles are promising drug delivery systems, widely recognized for their ability to overcome various limitations associated with conventional formulations. Here, we present a literature-curated dataset of 433 PLGA nanoparticle formulations encompassing 65 small molecules, primarily drugs and drug-like compounds. For each formulation, the dataset includes 18 associated features that describe properties of the small molecule, excipients, and overall formulation characteristics. Additionally, three key performance metrics are provided: particle size, encapsulation efficiency (EE), and loading capacity (LC).

Files

Institutions

  • University of Toronto Leslie Dan Faculty of Pharmacy
  • University of Toronto

Categories

Polymer, Drug Delivery, Nanoparticle, Drug Formulation

Licence