Template‐based and free modeling by RAPTOR++ in CASP8
Open Access
- 1 January 2009
- journal article
- research article
- Published by Wiley in Proteins-Structure Function and Bioinformatics
- Vol. 77 (S9) , 133-137
- https://doi.org/10.1002/prot.22567
Abstract
We developed and tested RAPTOR++ in CASP8 for protein structure prediction. RAPTOR++ contains four modules: threading, model quality assessment, multiple protein alignment, and template‐free modeling. RAPTOR++ first threads a target protein to all the templates using three methods and then predicts the quality of the 3D model implied by each alignment using a model quality assessment method. Based upon the predicted quality, RAPTOR++ employs different strategies as follows. If multiple alignments have good quality, RAPTOR++ builds a multiple protein alignment between the target and top templates and then generates a 3D model using MODELLER. If all the alignments have very low quality, RAPTOR++ uses template‐free modeling. Otherwise, RAPTOR++ submits a threading‐generated 3D model with the best quality. RAPTOR++ was not ready for the first 1/3 targets and was under development during the whole CASP8 season. The template‐based and template‐free modeling modules in RAPTOR++ are not closely integrated. We are using our template‐free modeling technique to refine template‐based models. Proteins 2009.Keywords
Funding Information
- TTI-C internal research funding
- NIH (R01GM081642-01)
This publication has 26 references indexed in Scilit:
- A Probabilistic Graphical Model for Ab Initio FoldingPublished by Springer Nature ,2009
- Analysis of CASP8 targets, predictions and assessment methodsDatabase: The Journal of Biological Databases and Curation, 2009
- Discriminative learning for protein conformation samplingProteins-Structure Function and Bioinformatics, 2008
- SELECTpro: effective protein model selection using a structure-based energy function resistant to BLUNDERsBMC Structural Biology, 2008
- A multi-template combination algorithm for protein comparative modelingBMC Structural Biology, 2008
- Reduced Cβ statistical potentials can outperform all‐atom potentials in decoy identificationProtein Science, 2007
- Ab Initio Protein Structure Prediction Using Chunk-TASSERBiophysical Journal, 2007
- Statistical potential for assessment and prediction of protein structuresProtein Science, 2006
- Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability predictionProtein Science, 2002