MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials.

ABSTRACT:

Background

Protein model quality assessment (QA) is an essential procedure in protein structure prediction. QA methods can predict the qualities of protein models and identify good models from decoys. Clustering-based methods need a certain number of models as input. However, if a pool of models are not available, methods that only need a single model as input are indispensable.

Results

We developed MASS, a QA method to predict the global qualities of individual protein models using random forests and various novel energy functions. We designed six novel energy functions or statistical potentials that can capture the structural characteristics of a protein model, which can also be used in other protein-related bioinformatics research. MASS potentials demonstrated higher impo

SUBMITTER: Liu T 

PROVIDER: S-EPMC7336608 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature