TY - GEN
T1 - P-found
T2 - 3rd Computational Intelligence in Bioinformatics and Computational Biology Symposium, CIBCB
AU - Silva, Cândida G.
AU - Ostropytskyy, Vitaliy
AU - Loureiro-Ferreira, Nuno
AU - Berrar, Daniel
AU - Swain, Martin
AU - Dubitzky, Werner
AU - Brito, Rui M.M.
PY - 2006
Y1 - 2006
N2 - One of the central challenges in structural molecular biology today is the protein folding problem, i.e. the acquisition of the 3D structure of a protein from its linear sequence of amino-acids. Different computational approaches to study protein folding and protein unfolding have recently become common tools available to the researcher. However, due to the lack of appropriate infrastructures, it is very difficult to directly compare simulations performed by different groups, with different methods, in different experimental conditions or for different proteins. Thus, we set out to create a public data repository with the goal of addressing the problem of comparison, analysis and sharing of information and data on protein folding and protein unfolding simulations. The P-found system for protein folding and protein unfolding simulations is presented. At the moment, the data repository allows uploading of molecular dynamics (MD) protein folding and unfolding simulations, calculates and stores several time series with the variation over time of pre-defined molecular properties, and allows searching and downloading of these data. In the near future, simulations performed by other than MD methods may be uploaded, and data mining techniques for analysis and comparison of multiple simulations will be implemented. The home page for the P-found system is accessible at http://www.p-found.org.
AB - One of the central challenges in structural molecular biology today is the protein folding problem, i.e. the acquisition of the 3D structure of a protein from its linear sequence of amino-acids. Different computational approaches to study protein folding and protein unfolding have recently become common tools available to the researcher. However, due to the lack of appropriate infrastructures, it is very difficult to directly compare simulations performed by different groups, with different methods, in different experimental conditions or for different proteins. Thus, we set out to create a public data repository with the goal of addressing the problem of comparison, analysis and sharing of information and data on protein folding and protein unfolding simulations. The P-found system for protein folding and protein unfolding simulations is presented. At the moment, the data repository allows uploading of molecular dynamics (MD) protein folding and unfolding simulations, calculates and stores several time series with the variation over time of pre-defined molecular properties, and allows searching and downloading of these data. In the near future, simulations performed by other than MD methods may be uploaded, and data mining techniques for analysis and comparison of multiple simulations will be implemented. The home page for the P-found system is accessible at http://www.p-found.org.
UR - http://www.scopus.com/inward/record.url?scp=50249173859&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50249173859&partnerID=8YFLogxK
U2 - 10.1109/CIBCB.2006.330978
DO - 10.1109/CIBCB.2006.330978
M3 - Conference contribution
AN - SCOPUS:50249173859
SN - 1424406234
SN - 9781424406234
T3 - Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'06
SP - 101
EP - 108
BT - Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'06
Y2 - 28 September 2006 through 29 September 2006
ER -