https://scholars.lib.ntu.edu.tw/handle/123456789/573117
標題: | Comprehensive Study of Keywords for Sequence-Based Automatic Annotation of Protein Functions | 作者: | Li Y.-C Lin M.-J Huang X.-X CHIEN-YU CHEN YI-CHANG LU |
關鍵字: | Bioinformatics; Forecasting; 10-fold cross-validation; Automatic annotation; Cellular components; Correlation coefficient; Molecular function; Protein function prediction; Sequence alignments; Similarity analysis; Proteins | 公開日期: | 2020 | 起(迄)頁: | 23-28 | 來源出版物: | Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020 | 摘要: | Homology-based transfer is frequently used to predict protein functions of unannotated sequences through similarity analysis between the target and previously annotated sequences. The most direct and accessible homology-based transfer approach is sequence alignment. To assess the reliability of alignment-based prediction, we applied a 10-fold cross-validation test in SWISS-Prot database. We compared Matthews correlation coefficient, sensitivity, as well as precision, and examined different parameter settings used in the alignment-based methods, with BLASTp and PSI-BLAST. As the results shown in this paper, in the categories of domain, ligand, molecular function, biological process, cellular component, and PTM, the keywords can be confidently used for protein function predictions, whereas the others are less reliable. ? 2020 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099587402&doi=10.1109%2fBIBE50027.2020.00012&partnerID=40&md5=5c0dd2b2cd5d8f8824933297d2c64f50 https://scholars.lib.ntu.edu.tw/handle/123456789/573117 |
DOI: | 10.1109/BIBE50027.2020.00012 |
顯示於: | 生物機電工程學系 |
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