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Protocols

CAMEO specifications

Information


Unique identifier OMICS_15296
Name CAMEO
Alternative name Continuous Automated Model EvaluatiOn
Restrictions to use Academic or non-commercial use
Database management system MySQL
Community driven Yes
Data access Browse
User data submission Allowed
Maintained Yes

Documentation


Maintainer


  • person_outline Torsten Schwede

Publication for Continuous Automated Model EvaluatiOn

CAMEO citations

 (10)
library_books

Modeling protein quaternary structure of homo and hetero oligomers beyond binary interactions by homology

2017
Sci Rep
PMCID: 5585393
PMID: 28874689
DOI: 10.1038/s41598-017-09654-8

[…] rms of its area and absolute maximum. This confirms that PPI fingerprint analysis provides valuable information for quaternary conformations prediction.An additional validation set is provided by the Continuous Automated Model EvaluatiOn performed by CAMEO. The CAMEO server retrieves on a weekly basis the sequences of new PDB entries that will be released the following week. The sequences are subm […]

library_books

ModFOLD6: an accurate web server for the global and local quality estimation of 3D protein models

2017
Nucleic Acids Res
PMCID: 5570241
PMID: 28460136
DOI: 10.1093/nar/gkx332

[…] ores closely reflect the observed scores) or more balanced performance for the two use cases. We also report on the independent benchmarking of the server for the recent CASP12 experiment and ongoing CAMEO project. […]

call_split

ProQ3: Improved model quality assessments using Rosetta energy terms

2016
Sci Rep
PMCID: 5048106
PMID: 27698390
DOI: 10.1038/srep33509
call_split See protocol

[…] compare the newly developed methods ProQRosFA, ProQRosCen and ProQ3 with their predecessor ProQ2 and other publicly available single-model methods: QMEAN, Qprob, SMOQ, DOPE, dDFIRE on the CASP11 and CAMEO data sets (see Methods). We compare the method performance in three categories: local (residue) level correlations, global (protein) level correlations and model selection. Two of the methods (Q […]

library_books

Comparing co evolution methods and their application to template free protein structure prediction

2016
Bioinformatics
PMCID: 5860252
PMID: 28171606
DOI: 10.1093/bioinformatics/btw618

[…] field) by maximizing its pseudo-likelihood. This approach has several implementations, including plmDCA (), GREMLIN () and CCMPred (). GREMLIN has been tested on 329 protein targets selected from the Continuous, Automated Model Evaluation (CAMEO) () and shown to outperform PSICOV, plmDCA and mfDCA. Another tool, EPC-map (), combines contact predictions output by GREMLIN with physicochemical inform […]

library_books

Predicting Ligand Binding Sites on Protein Surfaces by 3 Dimensional Probability Density Distributions of Interacting Atoms

2016
PLoS One
PMCID: 4981321
PMID: 27513851
DOI: 10.1371/journal.pone.0160315

[…] To compare the ISMBLab-LIG predictors with the prediction methods assessable in CAMEO-LB webserver [], we predicted LBSs on CAMEO-LB targets and compared the prediction results with those from the best performers in CAMEO-LB predictions (COACH [] and RaptorX (http://raptorx.uchic […]

library_books

Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields

2016
Sci Rep
PMCID: 4707437
PMID: 26752681
DOI: 10.1038/srep18962

[…] run with their parameters set according to their respective papers. The program derived from the ICML2014 method is not publicly available, so we cannot evaluate its performance on CASP10, CASP11 and CAMEO test sets. We cannot test Cheng’s deep learning method either because it is not publicly available. However, only minor improvement in Q3 accuracy over PSIPRED was reported by Cheng’s paper. […]

Citations

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CAMEO institution(s)
Biozentrum University of Basel, Klingelbergstrasse, Basel, Switzerland; SIB Swiss Institute of Bioinformatics, Klingelbergstrasse, Basel, Switzerland
CAMEO funding source(s)
This work was supported by NIH and National Institute of General Medical Sciences (U01 GM093324-01), SIB Swiss Institute of Bioinformatics toward the development of CAMEO, SWISS-MODEL, OpenStructure and the operation of the Basel Computational Biology Center.

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