Prediction of aggregation in monoclonal antibodies from molecular surface curvature.

ABSTRACT: Protein aggregation is one of the key challenges in the biopharmaceutical industry as its control is crucial in achieving long-term stability and efficacy of biopharmaceuticals. Attempts have been made to develop regression models for predicting the aggregation of monoclonal antibodies in solution using machine learning methods. These efforts have yielded varying levels of success, with current state-of-the-art AI approaches achieving good prediction accuracies ([Formula: see text]). Here, we demonstrate the prediction of aggregation rate in monoclonal antibodies with beyond state-of-the-art reliability using a coupled AI-MD-Molecular surface curvature modelling platform. The scientific novelty of this approach lies in using local geometrical surface curvature of proteins as the core eleme

SUBMITTER: Knez B 

PROVIDER: S-EPMC12317995 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature