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  1. 13 de may. de 2024 · Regarding subcellular localization prediction, GPSFun outperforms sequence-based predictors DeepLoc and DeepLoc 2.0 by more than 8.7% and 10.7% in micro and macro AUPR, respectively (see Table 2, Supplementary Table S9 and Supplementary Figure S3).

  2. 16 de may. de 2024 · DeepLoc 2.0 [14] and DeepLoc 1.0 [6] are subcellular localization prediction models. DeepLoc 1.0 [6] uses three-stage deep learning methods for sequence classification. Dur-ing the first stage, sequences from amino acids are generated. Then, the attention-based pooling stage constructs a single representation from the whole sequence ...

  3. Hace 1 día · DeepLoc provides predictions of localisation to various intracellular targets and the extracellular space, giving a score of 0 to 1 for each location with higher values indicating increased confidence in the prediction. An exclusion threshold of a < 0.5 for extracellular localisation was set. Manually selected sequences

  4. Hace 2 días · In summary, this study elucidated a high-resolution spatiotemporal map of proteome dynamics during the eukaryotic cell cycle, revealing the dynamic changes in proteins as they move and regulate ...

  5. 17 de may. de 2024 · We use part of the DeepLoc-2 dataset, which contains several thousand SwissProt proteins with experimentally determined locations. We filter for high-quality sequences between 100–512 amino acids: df = pd.read_csv(“https://services.healthtech.dtu.dk/services/DeepLoc-2.0/data/Swissprot_Train_Validation_dataset.csv”

  6. Hace 4 días · Deeploc 2.0: multi-label subcellular localization prediction using protein language models. Nucleic Acids Research, 50(W1):W228–W234, 2022. [3] Yitian Fang, Yi Jiang, Leyi Wei, Qin Ma, Zhixiang Ren, Qianmu Yuan, and Dong-Qing Wei. Deepprosite: structure-aware protein binding site prediction using esmfold and pretrained language model.

  7. 5 de may. de 2024 · SaProtHub/Dataset-Subcellular_Localization-DeepLoc. Updated 2 days ago. Upvote -Share collection View history Collection guide Browse collections ...