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.

• Cole C., Barber J.D. and Barton G.J. (2008) The Jpred 3 secondary structure prediction server Nucleic Acids Research 36 W197-W201
• Cuff J. A and Barton G.J (1999) Application of enhanced multiple sequence alignment profiles to improve protein secondary structure prediction Proteins 40 502-511

• If nothing is selected, and the displayed sequences appear to be aligned, then a JNet prediction will be run for the first sequence in the alignment, using the current alignment. Otherwise the first sequence will be submitted for prediction.
• If just one sequence (or a region on one sequence) has been selected, it will be submitted to the automatic JNet prediction server for homolog detection and prediction.
• If a set of sequences are selected, and they appear to be aligned, then the alignment will be used for a Jnet prediction on the first sequence selected in the set (that is, the one nearest the top of the alignment window).

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).

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

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.

• Lupas_21, Lupas_14, Lupas_28
  Coiled-coil predictions for the sequence. These are binary predictions for each location.
• JNETSOL25,JNETSOL5,JNETSOL0
  Solvent accessibility predictions - binary predictions of 25%, 5% or 0% solvent accessibility.
• JNetPRED
  The consensus prediction - helices are marked as red tubes, and sheets as dark green arrows.
• JNetCONF
  The confidence estimate for the prediction. High values mean high confidence. prediction - helices are marked as red tubes, and sheets as dark green arrows.
• JNetALIGN
  Alignment based prediction - helices are marked as red tubes, and sheets as dark green arrows.
• JNetHMM
  HMM profile based prediction - helices are marked as red tubes, and sheets as dark green arrows.
• jpred
  Jpred prediction - helices are marked as red tubes, and sheets as dark green arrows.
• JNETPSSM
  PSSM based prediction - helices are marked as red tubes, and sheets as dark green arrows.
• JNETFREQ
  Amino Acid frequency based prediction - helices are marked as red tubes, and sheets as dark green arrows.
• JNETJURY
  A '*' in this annotation indicates that the JNETJURY was invoked to rationalise significantly different primary predictions.