AIMC Topic: Succinic Acid

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Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique.

Computers in biology and medicine Jan 10, 2025
Protein succinylation, a post-translational modification wherein a succinyl group (-CO-CH₂-CH₂-CO-) attaches to lysine residues, plays a critical regulatory role in cellular processes. Dysregulated succinylation has been implicated in the onset and p...
Humans Neural Networks, Computer Computational Biology Protein Processing, Post-Translational Proteins Databases, Protein Natural Language Processing Succinic Acid
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LSTMCNNsucc: A Bidirectional LSTM and CNN-Based Deep Learning Method for Predicting Lysine Succinylation Sites.

BioMed research international May 28, 2021
Lysine succinylation is a typical protein post-translational modification and plays a crucial role of regulation in the cellular process. Identifying succinylation sites is fundamental to explore its functions. Although many computational methods wer...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Animals Deep Learning Computational Biology Escherichia coli Protein Processing, Post-Translational Proteins Area Under Curve Internet Succinic Acid
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HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site Prediction.

Genomics, proteomics & bioinformatics Aug 28, 2020
As an important protein acylation modification, lysine succinylation (Ksucc) is involved in diverse biological processes, and participates in human tumorigenesis. Here, we collected 26,243 non-redundant known Ksucc sites from 13 species as the benchm...
Humans Machine Learning Algorithms Neoplasms ROC Curve Proteome Proteins Area Under Curve Amino Acid Sequence Species Specificity Lysine Succinic Acid Acylation
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Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method.

Scientific reports Nov 7, 2019
Succinylation is a type of protein post-translational modification (PTM), which can play important roles in a variety of cellular processes. Due to an increasing number of site-specific succinylated peptides obtained from high-throughput mass spectro...
Deep Learning Protein Processing, Post-Translational Proteins Databases, Protein Lysine Succinic Acid Sequence Analysis, Protein
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Quantitative structure-retention relationship model for the determination of naratriptan hydrochloride and its impurities based on artificial neural networks coupled with genetic algorithm.

Talanta Nov 20, 2016
Mathematical modeling of Quantitative Structure - Property Relationships met great interest in fields of in silico drug design and more recently, pharmaceutical analysis. In our approach we proposed automated method of creation Quantitative Structure...
Neural Networks, Computer Models, Theoretical Chromatography, High Pressure Liquid Piperidines Succinic Acid Tryptamines
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