SherLoc2: a high-accuracy hybrid method for predicting subcellular localization of proteins.
By Sebastian Briesemeister, Torsten Blum, Scott Brady, Yin Lam, Oliver Kohlbacher, Hagit Shatkay. 2009
140 citations recorded by the source corpus.
Subfields: Molecular Biology, Pharmacology
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In Molecular Biology
- Michael Heinzinger
- Christian Dallago
- Ahmed Elnaggar
- Yu Wang
- Florian Matthes
- Burkhard Rost
- Dmitrii Nachaev
- Ole Winther
Citations in the corpus
- Modeling aspects of the language of life through transfer-learning protein sequences (2019, methodology): “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].”
- Convolutional LSTM Networks for Subcellular Localization of Proteins (2015, background): “MultiLoc1/2 accuracies are reprinted from (Goldberg et al., 2012) and the SherLoc accuracy from (Briesemeister et al., 2009). dependencies.”
- Modeling the language of life – Deep Learning Protein Sequences (2019, methodology): “Localization prediction 3 was trained and evaluated using the DeepLoc data set [46] for which performance was 4 measured for several methods, namely: LocTree2 [66], MultiLoc2 [67], SherLoc2 [68], CELLO 5 [69], iLoc-Euk [51], WoLF PSORT [70] and YLoc [71].”