COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information
Abstract
The COFACTOR web server is a unified platform for structure-based multiple-level protein function predictions. By structurally threading low-resolution structural models through the BioLiP library, the COFACTOR server infers three categories of protein functions including gene ontology, enzyme commission and ligand-binding sites from various analogous and homologous function templates. Here, we report recent improvements of the COFACTOR server in the development of new pipelines to infer functional insights from sequence profile alignments and protein-protein interaction networks. Large-scale benchmark tests show that the new hybrid COFACTOR approach significantly improves the function annotation accuracy of…
Citation impact
- FWCI
- 18.16
- Percentile
- 100%
- References
- 42
Authors
3- CZChengxin Zhang
University of Michigan
- LFLydia Freddolino
University of Michigan
- YZYang ZhangCorresponding
University of Michigan
Topics & keywords
- Biology
- Threading (protein sequence)
- Cofactor
- Computational biology
- Protein function prediction
- Web server
- Function (biology)
- Protein function