Towards a consensus on datasets and evaluation metrics for developing B-cell epitope prediction tools-Reference-Cited by-同舟云学术

Towards a consensus on datasets and evaluation metrics for developing B-cell epitope prediction tools

Published:2007 Issue:2 Volume:20 Page:75-82
ISSN:0952-3499
Container-title:Journal of Molecular Recognition
language:en
Short-container-title:J. Mol. Recognit.

Author:

Greenbaum Jason A.,Andersen Pernille Haste,Blythe Martin,Bui Huynh-Hoa,Cachau Raul E.,Crowe James,Davies Matthew,Kolaskar A. S.,Lund Ole,Morrison Sherrie,Mumey Brendan,Ofran Yanay,Pellequer Jean-Luc,Pinilla Clemencia,Ponomarenko Julia V.,Raghava G. P. S.,van Regenmortel Marc H. V.,Roggen Erwin L.,Sette Alessandro,Schlessinger Avner,Sollner Johannes,Zand Martin,Peters Bjoern

Publisher

Wiley

Subject

Molecular Biology,Structural Biology

Reference41 articles.

1. Anin silico method using an epitope motif database for predicting the location of antigenic determinants on proteins in a structural context

2. The Protein Data Bank

3. Benchmarking B cell epitope prediction: Underperformance of existing methods

4. Improved prediction of protein-protein binding sites using a support vector machines approach

5. Computational methods for prediction of T-cell epitopes—a framework for modelling, testing, and applications

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