Kai-Yao Huang

Orcid: 0000-0001-9855-1035

According to our database1, Kai-Yao Huang authored at least 32 papers between 2011 and 2022.

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Bibliography

2022
iDVIP: identification and characterization of viral integrase inhibitory peptides.
Briefings Bioinform., November, 2022

2021
UbiNet 2.0: a verified, classified, annotated and updated database of E3 ubiquitin ligase-substrate interactions.
Database J. Biol. Databases Curation, 2021

2020
miRTarBase 2020: updates to the experimentally validated microRNA?target interaction database.
Nucleic Acids Res., 2020

SuccSite: Incorporating Amino Acid Composition and Informative <i>k</i>-spaced Amino Acid Pairs to Identify Protein Succinylation Sites.
Genom. Proteom. Bioinform., 2020

Incorporating deep learning and multi-omics autoencoding for analysis of lung adenocarcinoma prognostication.
Comput. Biol. Chem., 2020

iDPGK: characterization and identification of lysine phosphoglycerylation sites based on sequence-based features.
BMC Bioinform., 2020

2019
Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniques.
BMC Bioinform., December, 2019

dbAMP: an integrated resource for exploring antimicrobial peptides with functional activities and physicochemical properties on transcriptome and proteome data.
Nucleic Acids Res., 2019

dbPTM in 2019: exploring disease association and cross-talk of post-translational modifications.
Nucleic Acids Res., 2019

Characterization and identification of lysine glutarylation based on intrinsic interdependence between positions in the substrate sites.
BMC Bioinform., 2019

2018
Machine Learning-Based Method for Obesity Risk Evaluation Using Single-Nucleotide Polymorphisms Derived from Next-Generation Sequencing.
J. Comput. Biol., 2018

Genome-wide discovery of viral microRNAs based on phylogenetic analysis and structural evolution of various human papillomavirus subtypes.
Briefings Bioinform., 2018

2017
A New Scheme to Characterize and Identify Protein Ubiquitination Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Investigation and identification of functional post-translational modification sites associated with drug binding and protein-protein interactions.
BMC Syst. Biol., 2017

MDD-carb: a combinatorial model for the identification of protein carbonylation sites with substrate motifs.
BMC Syst. Biol., 2017

Identification of natural antimicrobial peptides from bacteria through metagenomic and metatranscriptomic analysis of high-throughput transcriptome data of Taiwanese oolong teas.
BMC Syst. Biol., 2017

Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features.
BMC Bioinform., 2017

2016
dbPTM 2016: 10-year anniversary of a resource for post-translational modification of proteins.
Nucleic Acids Res., 2016

A new scheme to discover functional associations and regulatory networks of E3 ubiquitin ligases.
BMC Syst. Biol., 2016

Gene expression profiling identifies candidate biomarkers for active and latent tuberculosis.
BMC Bioinform., 2016

UbiNet: an online resource for exploring the functional associations and regulatory networks of protein ubiquitylation.
Database J. Biol. Databases Curation, 2016

2015
A two-layered machine learning method to identify protein O-GlcNAcylation sites with O-GlcNAc transferase substrate motifs.
BMC Bioinform., December, 2015

dbSNO 2.0: a resource for exploring structural environment, functional and disease association and regulatory network of protein <i>S</i>-nitrosylation.
Nucleic Acids Res., 2015

Characterization and identification of ubiquitin conjugation sites with E3 ligase recognition specificities.
BMC Bioinform., 2015

ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors.
BMC Bioinform., 2015

An interpretable rule-based diagnostic classification of diabetic nephropathy among type 2 diabetes patients.
BMC Bioinform., 2015

2014
topPTM: a new module of dbPTM for identifying functional post-translational modifications in transmembrane proteins.
Nucleic Acids Res., 2014

Incorporating significant amino acid pairs and protein domains to predict RNA splicing-related proteins with functional roles.
J. Comput. Aided Mol. Des., 2014

RegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammals.
Database J. Biol. Databases Curation, 2014

2013
dbPTM 3.0: an informative resource for investigating substrate site specificity and functional association of protein post-translational modifications.
Nucleic Acids Res., 2013

ViralPhos: incorporating a recursively statistical method to predict phosphorylation sites on virus proteins.
BMC Bioinform., 2013

2011
Investigation and identification of protein γ-glutamyl carboxylation sites.
BMC Bioinform., 2011


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