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Titlebook: Computational Methods for Predicting Post-Translational Modification Sites; Dukka B. KC Book 2022 The Editor(s) (if applicable) and The Au

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發(fā)表于 2025-3-28 15:24:57 | 只看該作者
Bioinformatic Analyses of Peroxiredoxins and RF-Prx: A Random Forest-Based Predictor and Classifierive damage but also regulate intracellular and intercellular signaling processes involving redox-regulated proteins and pathways. Bioinformatic approaches using computational tools that focus on active site-proximal sequence fragments (known as active site signatures) and iterative clustering and se
42#
發(fā)表于 2025-3-28 18:45:33 | 只看該作者
Computational Prediction of N- and O-Linked Glycosylation Sites for Human and Mouse Proteins,n and annotation of these sites using experimental approaches are challenging and time consuming. Hence, there is a demand to build fast and efficient computational methods to address this problem. Here, we present the SPRINT-Gly framework containing the largest dataset and a prediction model of gly
43#
發(fā)表于 2025-3-29 02:15:12 | 只看該作者
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發(fā)表于 2025-3-29 04:41:47 | 只看該作者
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發(fā)表于 2025-3-29 08:36:05 | 只看該作者
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發(fā)表于 2025-3-29 13:38:40 | 只看該作者
47#
發(fā)表于 2025-3-29 15:49:09 | 只看該作者
PTM-X: Prediction of Post-Translational Modification Crosstalk Within and Across Proteins,role in regulating proteins’ localization, degradation, and functions. Different PTMs both within a single protein and across multiple proteins can work together or regulate reciprocally, known as PTM cross talk. However, high-throughput experimental identifications of PTM cross talk are lack due to
48#
發(fā)表于 2025-3-29 22:11:52 | 只看該作者
49#
發(fā)表于 2025-3-30 03:32:07 | 只看該作者
Dukka B. KCIncludes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
50#
發(fā)表于 2025-3-30 05:05:11 | 只看該作者
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