Intrinsically disordered proteins and intrinsically disordered protein regions
CJ Oldfield, AK Dunker - Annual review of biochemistry, 2014 - annualreviews.org
Intrinsically disordered proteins (IDPs) and IDP regions fail to form a stable structure, yet
they exhibit biological activities. Their mobile flexibility and structural instability are encoded …
they exhibit biological activities. Their mobile flexibility and structural instability are encoded …
Machine learning meets omics: applications and perspectives
The innovation of biotechnologies has allowed the accumulation of omics data at an
alarming rate, thus introducing the era of 'big data'. Extracting inherent valuable knowledge …
alarming rate, thus introducing the era of 'big data'. Extracting inherent valuable knowledge …
SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features
Y Zhou, P Zeng, YH Li, Z Zhang, Q Cui - Nucleic acids research, 2016 - academic.oup.com
Abstract N6-methyladenosine (m6A) is a prevalent RNA methylation modification involved in
the regulation of degradation, subcellular localization, splicing and local conformation …
the regulation of degradation, subcellular localization, splicing and local conformation …
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 …
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 …
Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method
As a newly discovered protein posttranslational modification, histone lysine crotonylation
(Kcr) involved in cellular regulation and human diseases. Various proteomics technologies …
(Kcr) involved in cellular regulation and human diseases. Various proteomics technologies …
MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction
Motivation Computational methods for phosphorylation site prediction play important roles in
protein function studies and experimental design. Most existing methods are based on …
protein function studies and experimental design. Most existing methods are based on …
The structural and functional signatures of proteins that undergo multiple events of post‐translational modification
V Pejaver, WL Hsu, F ** and predicting protease-specific substrates and cleavage sites
Regulation of proteolysis plays a critical role in a myriad of important cellular processes. The
key to better understanding the mechanisms that control this process is to identify the …
key to better understanding the mechanisms that control this process is to identify the …
Incorporating machine learning into established bioinformatics frameworks
The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …
numerous machine learning techniques to address emerging problems in biology and …