Wayland Yeung

Wayland Yeung

University of Georgia

H-index: 13

North America-United States

About Wayland Yeung

Wayland Yeung, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Georgia, specializes in the field of Deep Learning, Data Science, Phylogenetics, Structural Modeling, Molecular Dynamics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Methods and systems for phosphormer model evaluation

Using explainable machine learning to uncover the kinase–substrate interaction landscape

Informatic challenges and advances in illuminating the druggable proteome

XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications

Dark kinase annotation, mining, and visualization using the Protein Kinase Ontology

Mechanistic and evolutionary insights into isoform-specific ‘supercharging’in DCLK family kinases

An allosteric switch between the activation loop and a c-terminal palindromic phospho-motif controls c-Src function

Redox Regulation of Brain Selective Kinases BRSK1/2: Implications for Dynamic Control of the Eukaryotic AMPK family through Cys-based mechanisms

Wayland Yeung Information

University

Position

___

Citations(all)

637

Citations(since 2020)

597

Cited By

196

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Wayland Yeung Skills & Research Interests

Deep Learning

Data Science

Phylogenetics

Structural Modeling

Molecular Dynamics

Top articles of Wayland Yeung

Methods and systems for phosphormer model evaluation

2024/3/7

Using explainable machine learning to uncover the kinase–substrate interaction landscape

Bioinformatics

2024/2/1

Informatic challenges and advances in illuminating the druggable proteome

2024/1/22

XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications

2023/12/11

Dark kinase annotation, mining, and visualization using the Protein Kinase Ontology

PeerJ

2023/12/5

Mechanistic and evolutionary insights into isoform-specific ‘supercharging’in DCLK family kinases

Elife

2023/10/26

An allosteric switch between the activation loop and a c-terminal palindromic phospho-motif controls c-Src function

Nature Communications

2023/10/17

Wayland Yeung
Wayland Yeung

H-Index: 8

Natarajan Kannan
Natarajan Kannan

H-Index: 28

Redox Regulation of Brain Selective Kinases BRSK1/2: Implications for Dynamic Control of the Eukaryotic AMPK family through Cys-based mechanisms

bioRxiv

2023/10/6

A comprehensive in vivo screen of yeast farnesyltransferase activity reveals broad reactivity across a majority of CXXX sequences

G3: Genes, Genomes, Genetics

2023/7

Wayland Yeung
Wayland Yeung

H-Index: 8

Natarajan Kannan
Natarajan Kannan

H-Index: 28

Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions

Bioinformatics

2023/2/1

Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies

Briefings in Bioinformatics

2023/1/15

Alignment-free estimation of sequence conservation for identifying functional sites using protein sequence embeddings

Briefings in Bioinformatics

2023/1

Modularity of the hydrophobic core and evolution of functional diversity in fold A glycosyltransferases

Journal of Biological Chemistry

2022/8/1

Functional classification and validation of yeast prenylation motifs using machine learning and genetic reporters

Plos one

2022/6/24

An explainable unsupervised framework for alignment-free protein classification using sequence embeddings

bioRxiv

2022/2/10

Traditional and Representation Learning Approaches for Protein Sequence Analysis

2022

Wayland Yeung
Wayland Yeung

H-Index: 8

KinOrtho: a method for mapping human kinase orthologs across the tree of life and illuminating understudied kinases

BMC bioinformatics

2021/12

GTXplorer: A portal to navigate and visualize the evolutionary information encoded in fold A glycosyltransferases

Glycobiology

2021/11

Mapping the glycosyltransferase fold landscape using interpretable deep learning

Nature communications

2021/9/27

Evolution of functional diversity in the holozoan tyrosine kinome

Molecular Biology and Evolution

2021/12/1

See List of Professors in Wayland Yeung University(University of Georgia)

Co-Authors

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