folding biofold.org

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.

OVERVIEW

This website folding.biofold.org currently has an average traffic classification of zero (the smaller the higher page views). We have scanned five pages inside the domain folding.biofold.org and found eight websites linking to folding.biofold.org.
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5
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8

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WHAT DOES FOLDING.BIOFOLD.ORG LOOK LIKE?

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FOLDING.BIOFOLD.ORG HOST

I observed that a single root page on folding.biofold.org took two hundred and thirteen milliseconds to download. Our parsers could not discover a SSL certificate, so in conclusion our web crawlers consider this site not secure.
Load time
0.213 secs
SSL
NOT SECURE
Internet Protocol
138.26.58.200

SERVER OS AND ENCODING

I diagnosed that this website is using the Apache/2.2.15 (CentOS) os.

PAGE TITLE

BioFolD - Biomolecules, Folding and Disease

DESCRIPTION

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.

CONTENT

This website folding.biofold.org has the following in the homepage, "In this page are reported information about the projects related to the study of the protein folding." We viewed that the webpage also stated " Currently we have two web tools located in our server and one located in a server of the University of Bologna." It also said " 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." The header had stability as the highest ranking search term. It is followed by folding, disease, and mutation which isn't as ranked as highly as stability. The next words they used was Structure. SARA was included but might not be understood by search crawlers.

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