Identification of properties important to protein aggregation using feature selection.

ABSTRACT:

Background

Protein aggregation is a significant problem in the biopharmaceutical industry (protein drug stability) and is associated medically with over 40 human diseases. Although a number of computational models have been developed for predicting aggregation propensity and identifying aggregation-prone regions in proteins, little systematic research has been done to determine physicochemical properties relevant to aggregation and their relative importance to this important process. Such studies may result in not only accurately predicting peptide aggregation propensities and identifying aggregation prone regions in proteins, but also aid in discovering additional underlying mechanisms governing this process.

Results

We use two feature selection algorithms to identify 16 fe

SUBMITTER: Fang Y 

PROVIDER: S-EPMC3819749 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature