The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
YLoc—an interpretable web server for predicting subcellular localization
Open accessAbstract
Predicting subcellular localization has become a valuable alternative to time-consuming experimental methods. Major drawbacks of many of these predictors is their lack of interpretability and the fact that they do not provide an estimate of the confidence of an individual prediction. We present YLoc, an interpretable web server for predicting subcellular localization. YLoc uses natural language to explain why a prediction was made and which biological property of the protein was mainly responsible for it. In addition, YLoc estimates the reliability of its own predictions. YLoc can, thus, assist in understanding protein localization and in location engineering of proteins. The YLoc web server is available online at www.multiloc.org/YLoc.
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Chou, K.-C., & Cai, Y.-D. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m204161200 · Cited by 483
Cited by
COMPARTMENTS: unification and visualization of protein subcellular localization evidence
Binder, J. X., Pletscher-Frankild, S., Tsafou, K., Stolte, C., O'Donoghue, S. I., Schneider, R., & Jensen, L. J. (2014) · Database · doi:10.1093/database/bau012 · Cited by 668
Modeling the language of life – Deep Learning Protein Sequences
Heinzinger, M., Elnaggar, A., Wang, Y., Dallago, C., Nechaev, D., Matthes, F., & Rost, B. (2019) · doi:10.1101/614313 · Cited by 606
Modeling aspects of the language of life through transfer-learning protein sequences
Heinzinger, M., Elnaggar, A., Wang, Y., Dallago, C., Nechaev, D., Matthes, F., & Rost, B. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-3220-8 · Cited by 606
“Subcellular localization prediction was trained and evaluated using the DeepLoc data set [47] for which performance was measured for several methods, namely: LocTree2 [72], MultiLoc2 [73], Sher-Loc2 [74], CELLO [75], iLoc-Euk [52], WoLF PSORT [76] and YLoc [77].”
MethodLight attention predicts protein location from the language of life
Stärk, H., Dallago, C., Heinzinger, M., & Rost, B. (2021) · Bioinformatics Advances · doi:10.1093/bioadv/vbab035 · Cited by 130
Metadata
- Authors
- Briesemeister, S., Rahnenf�hrer, J., & Kohlbacher, O.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-05-27
- Volume
- 38
- Issue
- suppl_2
- Pages
- W497-W502
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2108206279
- Cited by
- 314
- References
- 1
- FWCI
- 4.61
- Type
- journal article
- Language
- en
- Open access
- gold
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- Briesemeister, S., Rahnenf�hrer, J., & Kohlbacher, O. (2010). YLoc—an interpretable web server for predicting subcellular localization. Nucleic Acids Research. https://doi.org/10.1093/nar/gkq477
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