Artificial intelligence for proteomics and biomarker discovery
There is an avalanche of biomedical data generation and a parallel expansion in
computational capabilities to analyze and make sense of these data. Starting with genome …
computational capabilities to analyze and make sense of these data. Starting with genome …
Deep learning in proteomics
Proteomics, the study of all the proteins in biological systems, is becoming a data‐rich
science. Protein sequences and structures are comprehensively catalogued in online …
science. Protein sequences and structures are comprehensively catalogued in online …
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Sequence-based analysis and prediction are fundamental bioinformatic tasks that facilitate
understanding of the sequence (-structure)-function paradigm for DNAs, RNAs and proteins …
understanding of the sequence (-structure)-function paradigm for DNAs, RNAs and proteins …
GPS 5.0: an update on the prediction of kinase-specific phosphorylation sites in proteins
In eukaryotes, protein phosphorylation is specifically catalyzed by numerous protein kinases
(PKs), faithfully orchestrates various biological processes, and reversibly determines cellular …
(PKs), faithfully orchestrates various biological processes, and reversibly determines cellular …
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 …
DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism
Subcellular localization of messenger RNAs (mRNAs), as a prevalent mechanism, gives
precise and efficient control for the translation process. There is mounting evidence for the …
precise and efficient control for the translation process. There is mounting evidence for the …
GPS 6.0: an updated server for prediction of kinase-specific phosphorylation sites in proteins
M Chen, W Zhang, Y Gou, D Xu, Y Wei… - Nucleic acids …, 2023 - academic.oup.com
Protein phosphorylation, catalyzed by protein kinases (PKs), is one of the most important
post-translational modifications (PTMs), and involved in regulating almost all of biological …
post-translational modifications (PTMs), and involved in regulating almost all of biological …
DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach
The rapid spread of SARS-CoV-2 infection around the globe has caused a massive health
and socioeconomic crisis. Identification of phosphorylation sites is an important step for …
and socioeconomic crisis. Identification of phosphorylation sites is an important step for …
Applications of deep learning in understanding gene regulation
Gene regulation is a central topic in cell biology. Advances in omics technologies and the
accumulation of omics data have provided better opportunities for gene regulation studies …
accumulation of omics data have provided better opportunities for gene regulation studies …
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 …