X-Git-Url: http://source.jalview.org/gitweb/?a=blobdiff_plain;f=help%2Fhtml%2FwebServices%2Fjnet.html;h=9bb6bd125d31222d8c6070b56281f783d4e5b783;hb=25c2fab23ba00f2f0c1650ef8ec587291611e69e;hp=e18e273bc6e63d17a8266460e4a4915b193850f3;hpb=6ab4ef1cc71ff9d28a21a139db69e4a8351a3fb5;p=jalview.git diff --git a/help/html/webServices/jnet.html b/help/html/webServices/jnet.html index e18e273..9bb6bd1 100755 --- a/help/html/webServices/jnet.html +++ b/help/html/webServices/jnet.html @@ -16,3 +16,97 @@ * * You should have received a copy of the GNU General Public License along with Jalview. If not, see . --> + +JNet Secondary Structure Prediction + + +JNet Secondary Structure Prediction +

Secondary structure prediction methods attempts to infer the +likely secondary structure for a protein based on its amino acid +composition and similarity to sequences with known secondary structure. +The JNet method uses several different neural networks and decides on +the most likely prediction via a jury network.
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+The function available from the +Web Service→Secondary Structure +Prediction→JNet Secondary Structure Prediction +menu does two different kinds of prediction, dependent upon the +currently selected region: +

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Note: JNet secondary structure prediction is a +'non-column-separable' service - predictions are based on the sequence +profile of contiguous stretches of amino-acid sequence. A prediction +will only be made on the visible parts of a sequence (see hiding columns) as if it were +a contiguous polypeptide chain. Prediction accuracy at the hidden column +boundaries may therefore be less than indicated by JNet's own +reliability score (see below).

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The result of a JNet prediction for a sequence is a new annotated +alignment window:

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The sequence for which the prediction was made is the first one +in the alignment. If a sequence based prediction was made then the +remaining sequences in the alignment are the aligned parts of homologs +which were used to construct a sequence profile for the prediction. If +the prediction was made using a multiple alignment, then the original +multiple alignment will be returned, annotated with the prediction.

+The annotation bars below the alignment are as follows: +

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