Constant 发表于 2025-3-27 00:21:04

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慎重 发表于 2025-3-27 04:14:02

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思想 发表于 2025-3-27 09:18:55

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adduction 发表于 2025-3-27 12:59:30

Submersible Technology: Adapting to Changed the development of a plethora of deep learning (DL)-based approaches. In this book chapter, we first review some recent DL-based approaches in the field of PTM site prediction. In addition, we also review the recent advances in the not-so-studied PTM, that is, proteolytic cleavage predictions. We

beta-cells 发表于 2025-3-27 17:17:48

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Abrade 发表于 2025-3-27 20:24:45

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秘密会议 发表于 2025-3-28 00:14:33

FEPS: A Tool for Feature Extraction from Protein Sequence,to extract features from protein sequence/structure often becomes one of the crucial steps for the development of machine learning-based approaches. Over the years, various sequence, structural, and physicochemical descriptors have been developed for proteins and these descriptors have been used to

Ventilator 发表于 2025-3-28 06:05:19

iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features,PTMs has been identified. Among them, glycation is considered as one of the most important PTMs. Glycation is associated with different neurological disorders including Parkinson and Alzheimer. It is also shown to be responsible for different diseases, including vascular complications of diabetes me

ALT 发表于 2025-3-28 06:45:17

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gospel 发表于 2025-3-28 11:14:09

Analysis of Posttranslational Modifications in Arabidopsis Proteins and Metabolic Pathways Using thdevelopments in mass spectrometry technology and sample enrichment approaches have led to a massive expansion in the number of identified PTM types and sites within eukaryotic proteins. As these types of data become increasingly available, it is important to develop additional analysis tools and dat
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查看完整版本: Titlebook: Computational Methods for Predicting Post-Translational Modification Sites; Dukka B. KC Book 2022 The Editor(s) (if applicable) and The Au