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CEP:一个构象表位预测服务器。

CEP: a conformational epitope prediction server.

作者信息

Kulkarni-Kale Urmila, Bhosle Shriram, Kolaskar A S

机构信息

Bioinformatics Centre, University of Pune, Pune 411 007, India.

出版信息

Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W168-71. doi: 10.1093/nar/gki460.

DOI:10.1093/nar/gki460
PMID:15980448
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1160221/
Abstract

CEP server (http://bioinfo.ernet.in/cep.htm) provides a web interface to the conformational epitope prediction algorithm developed in-house. The algorithm, apart from predicting conformational epitopes, also predicts antigenic determinants and sequential epitopes. The epitopes are predicted using 3D structure data of protein antigens, which can be visualized graphically. The algorithm employs structure-based Bioinformatics approach and solvent accessibility of amino acids in an explicit manner. Accuracy of the algorithm was found to be 75% when evaluated using X-ray crystal structures of Ag-Ab complexes available in the PDB. This is the first and the only method available for the prediction of conformational epitopes, which is an attempt to map probable antibody-binding sites of protein antigens.

摘要

CEP服务器(http://bioinfo.ernet.in/cep.htm)为内部开发的构象表位预测算法提供了一个网络界面。该算法除了预测构象表位外,还能预测抗原决定簇和序列表位。表位是利用蛋白质抗原的三维结构数据进行预测的,这些数据可以以图形方式可视化。该算法采用基于结构的生物信息学方法,并以明确的方式考虑氨基酸的溶剂可及性。当使用蛋白质数据银行(PDB)中可用的抗原-抗体复合物的X射线晶体结构进行评估时,该算法的准确率为75%。这是第一种也是唯一一种可用于预测构象表位的方法,它试图绘制蛋白质抗原可能的抗体结合位点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34df/1160221/4a9a8a3cc584/gki460f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34df/1160221/9a4b59de3644/gki460f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34df/1160221/4a9a8a3cc584/gki460f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34df/1160221/9a4b59de3644/gki460f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34df/1160221/4a9a8a3cc584/gki460f2.jpg

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2
Quantification of protein surfaces, volumes and atom-atom contacts using a constrained Voronoi procedure.使用约束Voronoi方法对蛋白质表面、体积和原子间接触进行量化。
Bioinformatics. 2002 Oct;18(10):1365-73. doi: 10.1093/bioinformatics/18.10.1365.
3
Structuring the universe of proteins.
计算方法的进步推动了多表位疫苗的发展。
Brief Bioinform. 2024 Nov 22;26(1). doi: 10.1093/bib/bbaf055.
4
Computational epitope-based vaccine design with bioinformatics approach; a review.基于计算表位的生物信息学疫苗设计综述
Heliyon. 2025 Jan 4;11(1):e41714. doi: 10.1016/j.heliyon.2025.e41714. eCollection 2025 Jan 15.
5
Multi-epitope vaccines: a promising strategy against viral diseases in swine.多表位疫苗:一种对抗猪病毒性疾病的有前景的策略。
Front Cell Infect Microbiol. 2024 Dec 20;14:1497580. doi: 10.3389/fcimb.2024.1497580. eCollection 2024.
6
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7
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Front Immunol. 2024 Sep 30;15:1463931. doi: 10.3389/fimmu.2024.1463931. eCollection 2024.
8
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Bioinformatics. 2024 Oct 1;40(10). doi: 10.1093/bioinformatics/btae556.
9
Computational Methods to Predict Conformational B-Cell Epitopes.计算方法预测构象 B 细胞表位。
Biomolecules. 2024 Aug 10;14(8):983. doi: 10.3390/biom14080983.
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Multi-perspectives and challenges in identifying B-cell epitopes.鉴定 B 细胞表位的多视角和挑战。
Protein Sci. 2023 Nov;32(11):e4785. doi: 10.1002/pro.4785.
构建蛋白质的整体结构
Annu Rev Genomics Hum Genet. 2002;3:243-62. doi: 10.1146/annurev.genom.3.022502.103227. Epub 2002 Apr 15.
4
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5
Prediction of three-dimensional structure and mapping of conformational epitopes of envelope glycoprotein of Japanese encephalitis virus.日本脑炎病毒包膜糖蛋白的三维结构预测及构象表位定位
Virology. 1999 Aug 15;261(1):31-42. doi: 10.1006/viro.1999.9859.
6
From absolute to exquisite specificity. Reflections on the fuzzy nature of species, specificity and antigenic sites.从绝对特异性到极致特异性。关于物种、特异性和抗原位点模糊性质的思考。
J Immunol Methods. 1998 Jul 1;216(1-2):37-48. doi: 10.1016/s0022-1759(98)00069-6.
7
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Structure. 1994 Aug 15;2(8):733-46. doi: 10.1016/s0969-2126(00)00074-5.
8
Retrospective: 12 years of antigenic determinant predictions, and more.回顾:12年的抗原决定簇预测,以及更多内容。
Pept Res. 1993 Jul-Aug;6(4):183-90.
9
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10
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Adv Protein Chem. 1968;23:283-438. doi: 10.1016/s0065-3233(08)60402-7.