Newest preprint publication! Leukocare’s ExPreSo leverages machine learning for smarter excipient selection
Formulation scientists know the challenge of excipient preselection: trial-and-error, time-consuming experiments, and uncertainty. What if there was a way to reduce risk,minimize bias, and improve formulation outcomes—before even stepping into the lab?
Leukocare is excited to announce the preprint publication of our Excipient Prediction Software (ExPreSo), an advanced machine-learning solution that streamlines excipient preselection for formulation scientists.
Trained on data from over 300 protein/peptide therapeutics, ExPreSo analyses the protein sequence of a drug substance and outputs a list of common excipients, ranked by their likelihood to be found in a stable formulation. This tool is part of Leukocare's suite of bioinformatic innovations, including molecular modeling and database solutions.
By leveraging AI and data-driven insights, ExPreSo helps formulation scientists improve the likelihood of selecting protective excipients for experimental testing, leading to better formulations, reduced costs, and ultimately, improved patient outcomes.