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File S1 - A Consistency-Based Feature Selection Method Allied with Linear SVMs for HIV-1 Protease Cleavage Site Prediction

NIAID Data Ecosystem2026-03-07 收录

蛋白酶切割位点预测

数据链接：

https://figshare.com/articles/dataset/_A_Consistency_Based_Feature_Selection_Method_Allied_with_Linear_SVMs_for_HIV_1_Protease_Cleavage_Site_Prediction_/780883 数据链接链接失效反馈

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资源简介：

Supplementary Evaluation and Tables. (PDF)

应用场景：

创建时间：

2013-08-23

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The profiles of in vivo cleavages.

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aThe residues in the corresponding positions are favorable to substrate cleavages; bThe residues in the corresponding positions are unfavorable to substrate cleavages.

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Performance of PROSPER for predicting cleavage sites of 24 protease families under consideration in this study, measured by Accuracy, Sensitivity, Specificity, F-score and MCC, respectively.

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Performance of PROSPER for predicting cleavage sites of 24 protease families under consideration in this study, measured by Accuracy, Sensitivity, Specificity, F-score and MCC, respectively.

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Cleaved and Missed Sites for Trypsin, Lys-C, and Lys‑N Can Be Predicted with High Confidence on the Basis of Sequence Context

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Trypsin, Lys-C, and Lys-N are the most broadly used enzymes in proteomics. Here, on the basis of large-scale peptide mass spectrometry (MS) data sets, an approach is described to confidently identify

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Comparison of WT-PR computed binding energies.

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aTable 1. bTable 1 plus Table S5 in File S1. cTable S6 in File S1. Energies were computed with the standard RosettaDock energy function, as described in [15] and with the FMO re-evaluation. A Mann-Whi

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Cleaved and Missed Sites for Trypsin, Lys-C, and Lys‑N Can Be Predicted with High Confidence on the Basis of Sequence Context

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Trypsin, Lys-C, and Lys-N are the most broadly used enzymes in proteomics. Here, on the basis of large-scale peptide mass spectrometry (MS) data sets, an approach is described to confidently identify

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