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BioFolD - Biomolecules, Folding and Disease

In this page are reported information about the projects related to the study of the protein folding. Currently we have two web tools located in our server and one located in a server of the University of Bologna. Neural Network based method to predict the sign of free energy change of proteins upon single point mutation. Support Vector Machine based method to predict the sign and the value of free energy change of proteins upon single point mutation.

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BioFolD - Biomolecules, Folding and Disease | folding.biofold.org Reviews
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In this page are reported information about the projects related to the study of the protein folding. Currently we have two web tools located in our server and one located in a server of the University of Bologna. Neural Network based method to predict the sign of free energy change of proteins upon single point mutation. Support Vector Machine based method to predict the sign and the value of free energy change of proteins upon single point mutation.
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1 stability
2 folding
3 disease
4 mutation
5 Structure
6 SARA
7 SARA-Coffee
8 WebRASP
9 machine learning
10 Emidio Capriotti
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BioFolD - Biomolecules, Folding and Disease | folding.biofold.org Reviews

https://folding.biofold.org

In this page are reported information about the projects related to the study of the protein folding. Currently we have two web tools located in our server and one located in a server of the University of Bologna. Neural Network based method to predict the sign of free energy change of proteins upon single point mutation. Support Vector Machine based method to predict the sign and the value of free energy change of proteins upon single point mutation.

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folding.biofold.org folding.biofold.org
1

Emidio Capriotti - BioFolD - Publications

http://folding.biofold.org/pages/papers.html

Khass M, Blackburn T, Burrows PD, Walter MR, Capriotti E, Schroeder HW Jr. 2016) VpreB serves as an invariant surrogate antigen for selecting immunoglobulin antigen-binding sites. Science Immunology. Tian R, Basu MK, Capriotti E. 2015) Computational methods and resources for the interpretation of genomic variants in cancer. BMC Genomics. 16 (Suppl. 8): S7. Beerten J, Van Durme J, Gallardo R, Capriotti E, Serpell L, Rousseau F, Schymkowitz J. Tian R, Basu MK, Capriotti E. 15 (Suppl. 4): S4. 2013) WS-SNPs&...

2

Emidio Capriotti - BioFolD - People

http://folding.biofold.org/pages/people.html

The BioFolD unit at the University of Bologna is composed by:. Senior Assistant Professor (RTD type B). Department of Biological, Geological, and Environmental Sciences (BiGeA). The following researchers were members of the BioFolD unit at the UAB:. Postdoc, Department of Pathology at UAB. MS Student, Biotechnology Program at UAB.

3

Folding@BioFolD

http://folding.biofold.org/index.html

In this page are reported information about the projects related to the study of the protein folding. Currently we have two web tools located in our server and one located in a server of the University of Bologna. Neural Network based method to predict the sign of free energy change of proteins upon single point mutation. Support Vector Machine based method to predict the sign and the value of free energy change of proteins upon single point mutation.

4

Emidio Capriotti - BioFolD - Resources

http://folding.biofold.org/pages/resources.html

The researchers of the BioFolD Unit have developed several web server applications that are currently hosted on servers of the Institute for Mathematical Modeling of Biological Systems, University of Düsseldorf. Italy) and manatined by other collaborators. In the next months a mirror of these applications will be made available on this server. Currently you can reach these web servers using the following links. Support Vector Machine based method to predict cancer-causing mutations (Beta version).

5

Welcome to I-Mutant2.0 Home Page

http://folding.biofold.org/i-mutant/i-mutant2.0.html

Prediction of protein stability changes upon single point mutation from:.

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BioFolD - Biomolecules, Folding and Disease

In this page are reported information about the projects related to the study of the protein folding. Currently we have two web tools located in our server and one located in a server of the University of Bologna. Neural Network based method to predict the sign of free energy change of proteins upon single point mutation. Support Vector Machine based method to predict the sign and the value of free energy change of proteins upon single point mutation.

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