MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization
MusiteDeep is an online resource providing a deep-learning framework for protein post-
translational modification (PTM) site prediction and visualization. The predictor only uses …
translational modification (PTM) site prediction and visualization. The predictor only uses …
Leveraging protein dynamics to identify functional phosphorylation sites using deep learning models
Accurate prediction of post-translational modifications (PTMs) is of great significance in
understanding cellular processes, by modulating protein structure and dynamics …
understanding cellular processes, by modulating protein structure and dynamics …
Research progress in protein posttranslational modification site prediction
Posttranslational modifications (PTMs) play an important role in regulating protein folding,
activity and function and are involved in almost all cellular processes. Identification of PTMs …
activity and function and are involved in almost all cellular processes. Identification of PTMs …
DeepPhos: prediction of protein phosphorylation sites with deep learning
Motivation Phosphorylation is the most studied post-translational modification, which is
crucial for multiple biological processes. Recently, many efforts have been taken to develop …
crucial for multiple biological processes. Recently, many efforts have been taken to develop …
Using deep neural networks and biological subwords to detect protein S-sulfenylation sites
Protein S-sulfenylation is one kind of crucial post-translational modifications (PTMs) in which
the hydroxyl group covalently binds to the thiol of cysteine. Some recent studies have shown …
the hydroxyl group covalently binds to the thiol of cysteine. Some recent studies have shown …
TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree
Cell-penetrating peptides (CPPs) are short length permeable proteins have emerged as
drugs delivery tool of therapeutic agents including genetic materials and macromolecules …
drugs delivery tool of therapeutic agents including genetic materials and macromolecules …
MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases
We present a deep-learning-based platform, MIND-S, for protein post-translational
modification (PTM) predictions. MIND-S employs a multi-head attention and graph neural …
modification (PTM) predictions. MIND-S employs a multi-head attention and graph neural …
Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction
Posttranslational modification (PTM) is a ubiquitous phenomenon in both eukaryotes and
prokaryotes which gives rise to enormous proteomic diversity. PTM mostly comes in two …
prokaryotes which gives rise to enormous proteomic diversity. PTM mostly comes in two …
Exploring the potential of 3D Zernike descriptors and SVM for protein–protein interface prediction
S Daberdaku, C Ferrari - BMC bioinformatics, 2018 - Springer
Background The correct determination of protein–protein interaction interfaces is important
for understanding disease mechanisms and for rational drug design. To date, several …
for understanding disease mechanisms and for rational drug design. To date, several …
Accurately predicting glutarylation sites using sequential bi-peptide-based evolutionary features
Post Translational Modification (PTM) is defined as the alteration of protein sequence upon
interaction with different macromolecules after the translation process. Glutarylation is …
interaction with different macromolecules after the translation process. Glutarylation is …