|
|||||
|
|
Sequence-based feature prediction and annotation of proteins |
|
| Authors: | Agnieszka S Juncker Lars J Jensen Andrea Pierleoni Andreas Bernsel Michael L Tress Peer Bork Gunnar von Heijne Alfonso Valencia Christos A Ouzounis Rita Casadio Søren Brunak |
| Institution: | 1. Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, DK-2800, Denmark 2. European Molecular Biology Laboratory, Heidelberg, D-69117, Germany 3. Biocomputing Group, University of Bologna, Via San Giacomo 9/2, Bologna, 40126, Italy 4. Center for Biomembrane Research and Stockholm Bioinformatics Center, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, SE-106 91, Sweden 5. Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Melchor Fernández Almagro, 3, Madrid, E-28029, Spain 6. KCL Centre for Bioinformatics, School of Physical Sciences and Engineering, King's College London, London, WC2R 2LS, UK |
| Abstract: | A recent trend in computational methods for annotation of protein function is that many prediction tools are combined in complex workflows and pipelines to facilitate the analysis of feature combinations, for example, the entire repertoire of kinase-binding motifs in the human proteome. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |