[Aug08 13:50:57] 9SSS_A
[Aug08 13:23:57] 9RRR_A
[Aug08 13:40:56] 9QQQ_A
[Aug08 13:57:55] 9PPP_A
[Aug08 13:34:53] 9OOO_A
CEKEG-Prediction Method

   The grid-based and mathematical morphological algorithms were applied for efficient detection and extraction of surface atoms, and initial surface resides of predicted CE candidates were exclusively selected according to the local average energy distribution. The novel CE prediction system was then developed based on the characteristics of surface rates, occurrence frequency of geometrical neighbouring residue combination, and knowledge-based energy functions. The trained and weighted combinatorial features of surface residue contents and potentials were integrated for a simple and effective CE prediction system.


SEPPA server: With 3D protein structure as input, each residue in the query protein will be given a score according to its neighborhood residues information.Higher score corresponds to higher probability the residue to be involved in an epitope.
DiscoTope Server utilizes calculation of surface accessibility (estimated in terms of contact numbers) and a novel epitope propensity amino acid score.
BEpro(PEPITO) uses a combination of amino-acid propensity scores and half sphere exposure values at multiple distances to achieve state-of-the-art performance.
SAVE system,Protein-Ligand Binding region prediction based on features of Solid Angle,Volume,and Depth
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AIR system, an efficient and effective tool for multiple structure alignment (MStA).
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