Improved predictions by Pcons.net using multiple templates.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 21149277.
- Also identified by DOI 10.1093/bioinformatics/btq664 and PMC identifier 3031036.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Multiple templates can often be used to build more accurate homology models than models built from a single template. Here we introduce PconsM, an automated protocol that uses multiple templates to build protein models. PconsM has been among the top-performing methods in the recent CASP experiments and consistently perform better than the single template models used in Pcons.net. In particular for the easier targets with many alternative templates with a high degree of sequence identity, quality is readily improved with a few percentages over the highest ranked model built on a single template. PconsM is available as an additional pipeline within the Pcons.net protein structure prediction server. PconsM is freely available from http://pcons.net/.
Medical subject headings
- Computational Biology
- Models, Molecular
- Proteins
- Software