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1.  New tools and expanded data analysis capabilities at the protein structure prediction center 
Proteins  2007;69(S8):19-26.
We outline the main tasks performed by the Protein Structure Prediction Center in support of the CASP7 experiment and provide a brief review of the major measures used in the automatic evaluation of predictions. We describe in more detail the software developed to facilitate analysis of modeling success over and beyond the available templates and the adopted Java-based tool enabling visualization of multiple structural superpositions between target and several models/templates. We also give an overview of the CASP infrastructure provided by the Center and discuss the organization of the results web pages available through http://predictioncenter.org
doi:10.1002/prot.21653
PMCID: PMC2656758  PMID: 17705273
CASP infrastructure; protein structure prediction; evaluation methods; SPICE
2.  NEW TOOLS AND EXPANDED DATA ANALYSIS CAPABILITIES AT THE PROTEIN STRUCTURE PREDICTION CENTER 
Proteins  2007;69(Suppl 8):19-26.
We outline the main tasks performed by the Protein Structure Prediction Center in support of the CASP7 experiment and provide a brief review of the major measures used in the automatic evaluation of predictions. We describe in more detail the software developed to facilitate analysis of modeling success over and beyond the available templates and the adopted Java-based tool enabling visualization of multiple structural superpositions between target and several models/templates. We also give an overview of the CASP infrastructure provided by the Center and discuss the organization of the results web pages available through http://predictioncenter.org.
doi:10.1002/prot.21653
PMCID: PMC2656758  PMID: 17705273
CASP infrastructure; protein structure prediction; evaluation methods; SPICE
3.  EVAcon: a protein contact prediction evaluation service 
Nucleic Acids Research  2005;33(Web Server issue):W347-W351.
Here we introduce EVAcon, an automated web service that evaluates the performance of contact prediction servers. Currently, EVAcon is monitoring nine servers, four of which are specialized in contact prediction and five are general structure prediction servers. Results are compared for all newly determined experimental structures deposited into PDB (∼5–50 per week). EVAcon allows for a precise comparison of the results based on a system of common protein subsets and the commonly accepted evaluation criteria that are also used in the corresponding category of the CASP assessment. EVAcon is a new service added to the functionality of the EVA system for the continuous evaluation of protein structure prediction servers. The new service is accesible from any of the three EVA mirrors: PDG (CNB-CSIC, Madrid) (); CUBIC (Columbia University, NYC) (); and Sali Lab (UCSF, San Francisco) ().
doi:10.1093/nar/gki411
PMCID: PMC1160172  PMID: 15980486
4.  EVA: evaluation of protein structure prediction servers 
Nucleic Acids Research  2003;31(13):3311-3315.
EVA (http://cubic.bioc.columbia.edu/eva/) is a web server for evaluation of the accuracy of automated protein structure prediction methods. The evaluation is updated automatically each week, to cope with the large number of existing prediction servers and the constant changes in the prediction methods. EVA currently assesses servers for secondary structure prediction, contact prediction, comparative protein structure modelling and threading/fold recognition. Every day, sequences of newly available protein structures in the Protein Data Bank (PDB) are sent to the servers and their predictions are collected. The predictions are then compared to the experimental structures once a week; the results are published on the EVA web pages. Over time, EVA has accumulated prediction results for a large number of proteins, ranging from hundreds to thousands, depending on the prediction method. This large sample assures that methods are compared reliably. As a result, EVA provides useful information to developers as well as users of prediction methods.
PMCID: PMC169025  PMID: 12824315
5.  META-PP: single interface to crucial prediction servers 
Nucleic Acids Research  2003;31(13):3308-3310.
The META-PP server (http://cubic.bioc.columbia.edu/meta/) simplifies access to a battery of public protein structure and function prediction servers by providing a common and stable web-based interface. The goal is to make these powerful and increasingly essential methods more readily available to nonexpert users and the bioinformatics community at large. At present META-PP provides access to a selected set of high-quality servers in the areas of comparative modelling, threading/fold recognition, secondary structure prediction and more specialized fields like contact and function prediction.
PMCID: PMC168978  PMID: 12824314

Results 1-5 (5)