Accurate prediction of protein relative solvent accessibility using a balanced model.

ABSTRACT:

Background

Protein relative solvent accessibility provides insight into understanding protein structure and function. Prediction of protein relative solvent accessibility is often the first stage of predicting other protein properties. Recent predictors of relative solvent accessibility discriminate against exposed regions as compared with buried regions, resulting in higher prediction accuracy associated with buried regions relative to exposed regions.

Methods

Here, we propose a more accurate and balanced predictor of protein relative solvent accessibility. First, we collected known proteins in three subsets according to sequence length and constructed a balanced dataset after reducing redundancy within each subset. Next, we measured the performance associated with differen

SUBMITTER: Wu W 

PROVIDER: S-EPMC5259893 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature