ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles

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作者
Yassine Ghouzam
Guillaume Postic
Pierre-Edouard Guerin
Alexandre G. de Brevern
Jean-Christophe Gelly
机构
[1] INSERM,
[2] U 1134,undefined
[3] DSIMB,undefined
[4] Univ. Paris Diderot,undefined
[5] Sorbonne Paris Cité,undefined
[6] UMR_S 1134,undefined
[7] Institut National de la Transfusion Sanguine (INTS),undefined
[8] Laboratoire d’Excellence GR-Ex,undefined
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Protein structure prediction based on comparative modeling is the most efficient way to produce structural models when it can be performed. ORION is a dedicated webserver based on a new strategy that performs this task. The identification by ORION of suitable templates is performed using an original profile-profile approach that combines sequence and structure evolution information. Structure evolution information is encoded into profiles using structural features, such as solvent accessibility and local conformation —with Protein Blocks—, which give an accurate description of the local protein structure. ORION has recently been improved, increasing by 5% the quality of its results. The ORION web server accepts a single protein sequence as input and searches homologous protein structures within minutes. Various databases such as PDB, SCOP and HOMSTRAD can be mined to find an appropriate structural template. For the modeling step, a protein 3D structure can be directly obtained from the selected template by MODELLER and displayed with global and local quality model estimation measures. The sequence and the predicted structure of 4 examples from the CAMEO server and a recent CASP11 target from the ‘Hard’ category (T0818-D1) are shown as pertinent examples. Our web server is accessible at http://www.dsimb.inserm.fr/ORION/.
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