pcons.net
Pcons.net Protein Structure PredictionPcons.net Pcons / Pmodeller meta server
http://www.pcons.net/
Pcons.net Pcons / Pmodeller meta server
http://www.pcons.net/
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Stockholms Universtiet
Sto●●●lms , Universitet, PostCode
SE
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Arne Elofsson
Sto●●●lms , Universitet, PostCode
SE
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Loopia Webbhotell AB
SE
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Loopia Webbhotell AB
SE
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Pcons.net Protein Structure Prediction | pcons.net Reviews
https://pcons.net
Pcons.net Pcons / Pmodeller meta server
c2.pcons.net Protein Residue-Residue Contact Prediction
Please submit your query to our new version of contact prediction server PconsC3 (http:/ pconsc3.bioinfo.se). For better performance and speed. Skwark, M. J., Abdel-Rehim, A., and Elofsson, A. (2013). "PconsC: combination of direct information methods and alignments improves contact prediction". Bioinformatics, 29(14), 1815-1816.0. Skwark M.J., Raimondi D., Michel M. and Elofsson A. "Improved contact predictions using the recognition of protein like contact patterns". 169; Arne Elofsson.
PconsC - PconsC
Combination of direct information methods and alignments improves contact prediction. Recently, several new contact prediction methods have been published. They use large sets of multiple aligned sequences and assume that correlations between columns in these alignments can be the results of indirect interaction. We demonstrate that combining predictions from two prediction methods, PSICOV. And two alignment methods, HHblits. The source code for PconsC is freely available at http:/ c.pcons.net/.
PconsD: Ultra rapid MQAP
Ultra rapid, accurate model quality assessment for protein structure prediction. PconsD is a very fast method for blind estimation of the objective quality (similarity to the native structure) of predicted models of protein structures (model quality assessment). It relies on stream computing algorithms for distance matrix comparison and is implemented in Python and OpenCL. It is designed to work on GPUs and has been tested on nVIDA GTX 460 and 560 platforms. PconsD has been benchmarked in CASP10. Additio...
SBC
http://www.sbc.su.se/services
Services that are marked with * are not hosted at SBC but were developed fully or partly by people at SBC. Calculate trees from multiple alignments. Consensus fold recognition and meta server with homology modelling. A threading method for membrane proteins. A fold recognition server. A protein model quality predictor. A combined transmembrane topology and signal peptide predictor. Predicting the distance to the membrane center for residues in alpha-helical membrane proteins. Prediction of signal peptides.
Software
http://bioinfo.se/software
Protein evolution. Protein structure predictions. Bioinformatics. Our ambition is to develop better methods for prediction of protein structure and function. The most successful methods are provided as web-based servers. Web-services developed through EMBRACE. A program for homology modelling. A program for Hidden Markov Model-based homology scoring. Ultra rapid, accurate model quality assessment for protein structure prediction. A predictor of protein quality. Membrane Protein Topology Prediction Methods.
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Pcons.net Protein Structure Prediction
Pconsnet Protein Structure Prediction Meta Server. Saturday, April 14 2018. 169; Arne Elofsson. Structure Prediction Meta Server Submission Page. Paste in your amino acid sequence in one letter code (at least 30 amino acids). Target name (max 20 chars). Automatic consensus based fold recognition using Pcons, ProQ and Pmodeller. Björn Wallner, Huisheng Fang and Arne Elofsson (2003). Proteins. Pconsnet is supported by the EGI FedCloud. With the VO VO.NBIS.SE for computational resource.
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