ArticleProtein and peptide letters2015
An Improved Integration of Template-Based and Template-Free Protein Structure Modeling Methods and its Assessment in CASP11.
Article in Protein and peptide letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- SAXSDom: Modeling multidomain protein structures using small-angle X-ray scattering data.Proteins · 2020Article
- Identification and localization of Tospovirus genus-wide conserved residues in 3D models of the nucleocapsid and the silencing suppressor proteins.Virology journal · 2019Article
- Improved protein structure reconstruction using secondary structures, contacts at higher distance thresholds, and non-contacts.BMC bioinformatics · 2017Article
- A Stochastic Point Cloud Sampling Method for Multi-Template Protein Comparative Modeling.Scientific reports · 2016Article
- A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11.BMC bioinformatics · 2015Article
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Authors and funding
3 authors.
Funding
Abstract
Most computational protein structure prediction methods are designed for either template based or template-free (ab initio) structure prediction. The approaches that integrate the prediction capabilities of both template-based modeling and template-free modeling are needed to synergistically combine the two kinds of methods to improve protein structure prediction. In this work, we develop a new method to integrate several protein structure prediction methods including our template-based MULTICOM server, our ab initio contact-based protein structure prediction method CONFOLD, our multi-template-based model generation tool MTMG, and locally installed external Rosetta, I-TASSER and RaptorX protein structure prediction tools to improve protein structure prediction of a fullspectrum difficulty ranging from easy, to medium and to hard. Our method participated in the 11(th) community-wide Critical Assessment of Techniques for Protein Structure Prediction (CASP11) in 2014 as MULTICOM-NOVEL server. It was ranked among top 10 methods for protein tertiary structure prediction according to the official CASP11 assessment, which demonstrates that integrating complementary modeling methods is useful for advancing protein structure prediction.
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Registered trials
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