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Biology and Biochemistry
China
2023

D-Index & Metrics

Biology and Biochemistry

D-Index
78
Citations
19613
World Ranking
4599
National Ranking
140

Research.com Recognitions

  • 2023 - Research.com Biology and Biochemistry in China Leader Award

Overview

Yu-Dong Cai is affiliated with Shanghai University in China and has a substantial research output in the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their work encompasses a variety of subfields including Molecular Biology, Cancer Research, Infectious Diseases, Immunology, and Biomedical Engineering.

The scientist's research topics include:

  • Machine Learning in Bioinformatics
  • Cancer-related molecular mechanisms research
  • Bioinformatics and Genomic Networks
  • SARS-CoV-2 and COVID-19 Research
  • MicroRNA in disease regulation
  • Gene expression and cancer classification
  • COVID-19 diagnosis using AI

Yu-Dong Cai has frequently published in these venues:

  • Frontiers in Genetics
  • Life
  • BioMed Research International
  • Journal of Contemporary Educational Research
  • SSRN Electronic Journal

Among recent papers associated with their research, notable examples include:

  • Determining protein-protein functional associations by functional rules based on gene ontology and KEGG pathway (2021) in Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
  • Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection (2021) in Frontiers in Cell and Developmental Biology
  • Protein-protein interaction networks as miners of biological discovery (2022) in PROTEOMICS
  • Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scores (2023) in Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
  • Identification of Protein Subcellular Localization With Network and Functional Embeddings (2021) in Frontiers in Genetics

Frequent co-authors collaborating with Yu-Dong Cai include:

  • Tao Huang
  • Lei Chen
  • Kaiyan Feng
  • Yuhang Zhang
  • Wei Guo

Best Publications

  • Using functional domain composition and support vector machines for prediction of protein subcellular location.

    Kuo-Chen Chou;Yu-Dong Cai

  • Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways

    Lei Chen;Yu-Hang Zhang;ShaoPeng Wang;YunHua Zhang

  • Support vector machines for predicting membrane protein types by using functional domain composition.

    Yu-Dong Cai;Guo-Ping Zhou;Kuo-Chen Chou

  • Whole-genome resequencing reveals world-wide ancestry and adaptive introgression events of domesticated cattle in East Asia

    Ningbo Chen;Yudong Cai;Qiuming Chen;Ran Li

  • Predicting drug-target interaction networks based on functional groups and biological features.

    Zhisong He;Jian Zhang;Xiao-He Shi;Le-Le Hu

  • Prediction of protein structural classes by support vector machines

    Yu-Dong Cai;Xiao-Jun Liu;Xue-biao Xu;Kuo-Chen Chou

  • Predicting Anatomical Therapeutic Chemical (ATC) Classification of Drugs by Integrating Chemical-Chemical Interactions and Similarities

    Lei Chen;Wei-Ming Zeng;Yu-Dong Cai;Kai-Yan Feng

  • Using LogitBoost classifier to predict protein structural classes.

    Yu-Dong Cai;Kai-Yan Feng;Wen-Cong Lu;Kuo-Chen Chou

  • Predicting protein structural class by functional domain composition.

    Kuo-Chen Chou;Yu-Dong Cai

  • Prediction of protein subcellular locations by GO–FunD–PseAA predictor

    Kuo-Chen Chou;Yu-Dong Cai

  • Prediction of Membrane Protein Types by Incorporating Amphipathic Effects

    Kuo-Chen Chou;Yu-Dong Cai

  • Support Vector Machines for predicting protein structural class

    Yu-Dong Cai;Xiao-Jun Liu;Xue-biao Xu;Guo-Ping Zhou

  • Prediction and classification of protein subcellular location—sequence‐order effect and pseudo amino acid composition

    Kuo-Chen Chou;Yu-Dong Cai

  • Identification of Colorectal Cancer Related Genes with mRMR and Shortest Path in Protein-Protein Interaction Network

    Bi-Qing Li;Tao Huang;Lei Liu;Yu-Dong Cai;Yu-Dong Cai

  • Predicting protein-protein interactions from sequences in a hybridization space

    Kuo-Chen Chou;Yu-Dong Cai

  • Prediction of antimicrobial peptides based on sequence alignment and feature selection methods.

    Ping Wang;Lele Hu;Guiyou Liu;Nan Jiang

  • Application of SVM to predict membrane protein types.

    Yu-Dong Cai;Pong-Wong Ricardo;Chih-Hung Jen;Kuo-Chen Chou

  • Predicting protein quaternary structure by pseudo amino acid composition.

    Kuo-Chen Chou;Yu-Dong Cai

  • Predicting Functions of Proteins in Mouse Based on Weighted Protein-Protein Interaction Network and Protein Hybrid Properties

    Lele Hu;Tao Huang;Xiaohe Shi;Wen-Cong Lu

  • Support vector machines for predicting rRNA-, RNA-, and DNA-binding proteins from amino acid sequence.

    Yu-dong Cai;Shuo Liang Lin

Frequent Co-Authors

Tao Huang
Tao Huang Chinese Academy of Sciences
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Xiangyin Kong
Xiangyin Kong Chinese Academy of Sciences
Yixue Li
Yixue Li Chinese Academy of Sciences
Mingyue Zheng
Mingyue Zheng Chinese Academy of Sciences
Guojie Zhang
Guojie Zhang Zhejiang University
Andrew J. Doig
Andrew J. Doig University of Manchester
Hanry Yu
Hanry Yu National University of Singapore
Peer Bork
Peer Bork European Molecular Biology Laboratory
Daniel G. Bradley
Daniel G. Bradley Trinity College Dublin

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