Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction (BMC Bioinformatics, (2020), 21, S3, (63), 10.1186/s12859-020-3342-z)

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Authors
Thapa, Niraj
Chaudhari, Meenal
McManus, Sean
Roy, Kaushik
Newman, Robert H.
Hiroto, Saigo
KC, Dukka B.
Issue Date
2022-08-22
Type
Erratum
Language
en_US
Keywords
DeepSuccinylSite , Succinylation , MCC score
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Abstract

After publication of this supplement article [1], it is requested to correct the below errors in the article: On page 1, the Result of Abstract should be changed to: Results: Using an independent test set of experimentally identified succinylation sites, our method achieved efficiency scores of 79%, 68.7% and 0.27 for sensitivity, specificity and MCC respectively, with an area under the receiver operator characteristic (ROC) curve of 0.8. In side-by-side comparisons with previously described succinylation site predictors, DeepSuccinylSite produces similar or better results compared to the other state-of-the-art predictors. On page 7, Last paragraph on right should be changed from Consequently, DeepSuccinylSite achieved a significantly higher performance as measured by MCC. Indeed, DeepSuccinylSite exhibited an ~ 62% increase in MCC when compared to the next highest method, GPSuc. to: Consequently, DeepSuccinylSite achieved an MCC score (at decision boundary of 0.5) on par with the top performingmethod, GPSuc. On page 2, in Table 1, the negative data of Independent Test should be 2977 rather than 254. On page 8, in Table 6, the MCC data of DeepSuccinylSite should be 0.27 rather than 0.48.

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Citation
Thapa, N., Chaudhari, M., McManus, S. et al. Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction. BMC Bioinformatics 23, 349 (2022). https://doi.org/10.1186/s12859-022-04844-2
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BioMed Central Ltd
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1471-2105
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