World's Best Scientists 2026 revealed!
Award Badge
Best Scientists
2025
Award Badge
Biology and Biochemistry
USA
2023

D-Index & Metrics

Best Scientists

D-Index
175
Citations
88148
World Ranking
726
National Ranking
450

Biology and Biochemistry

D-Index
176
Citations
89472
World Ranking
72
National Ranking
58

Research.com Recognitions

  • 2025 - Research.com Best Scientists Award
  • 2023 - Research.com Biology and Biochemistry in United States Leader Award

Overview

Kuo-Chen Chou was a researcher affiliated with The Gordon Life Science Institute in the United States. Their work spanned several areas within biochemistry, genetics, and molecular biology, focusing significantly on computational applications in bioinformatics.

The scientist's main fields of study included:

  • Biochemistry, Genetics and Molecular Biology

Within this broad field, their subfields of research comprised:

  • Molecular Biology
  • Computational Theory and Mathematics

Kuo-Chen Chou's main research topics covered multiple aspects of bioinformatics and molecular biology, including:

  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • RNA modifications and cancer
  • Genomics and Phylogenetic Studies

The scientist published in several academic venues, which included:

  • Natural Science
  • Voice of the Publisher
  • Current Topics in Medicinal Chemistry
  • Immunome Research

Kuo-Chen Chou co-authored with Guo-Ping Zhou, among others, reflecting collaboration within their research community.

Their recent publications included:

  • The Problem of Elsevier Series Journals Online Submission by Using Artificial Intelligence, 2020, Natural Science
  • Two Latest Hot Researches in Medicinal Chemistry, 2020, Current Topics in Medicinal Chemistry
  • The Significant and Profound Impacts of Chou's "wenxiang" Diagram, 2020, Voice of the Publisher
  • Recent Progresses for Computationally Identifying N6-methyladenosine Sites in Saccharomyces cerevisiae, 2020, Immunome Research

Best Publications

  • Prediction of protein cellular attributes using pseudo‐amino acid composition

    Kuo-Chen Chou

  • Some remarks on protein attribute prediction and pseudo amino acid composition.

    Kuo-Chen Chou

  • Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms.

    Kuo-Chen Chou;Hong-Bin Shen

  • Prediction of protein structural classes.

    Kuo-Chen Chou;Chun-Ting Zhang

  • Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization

    Kuo-Chen Chou;Hong-Bin Shen

  • Recent progress in protein subcellular location prediction

    Kuo-Chen Chou;Hong-Bin Shen

  • Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

    Kuo-Chen Chou

  • Structural bioinformatics and its impact to biomedical science.

    Kuo-Chen Chou

  • iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.

    Zhen Chen;Pei Zhao;Fuyi Li;André Leier

  • iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition

    Wei Chen;Peng-Mian Feng;Hao Lin;Kuo-Chen Chou

  • Prediction of linear B-cell epitopes using amino acid pair antigenicity scale

    J. Chen;H. Liu;J. Yang;K.-C. Chou

  • Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

    Bin Liu;Fule Liu;Xiaolong Wang;Junjie Chen

  • iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types

    Xuan Xiao;Pu Wang;Wei-Zhong Lin;Jian-Hua Jia

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

    Kuo-Chen Chou;Yu-Dong Cai

  • PseAAC : A flexible web server for generating various kinds of protein pseudo amino acid composition

    Hong-Bin Shen;Kuo-Chen Chou

  • Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology

    Kuo-Chen Chou

  • Impacts of bioinformatics to medicinal chemistry.

    Kuo-Chen Chou

  • Some remarks on predicting multi-label attributes in molecular biosystems

    Kuo-Chen Chou

  • REVIEW : Recent advances in developing web-servers for predicting protein attributes

    Kuo-Chen Chou;Hong-Bin Shen

  • Structural Bioinformatics and its Impact to Biomedical Science and Drug Discovery

    Kuo-Chen Chou

Frequent Co-Authors

Yu-Dong Cai
Yu-Dong Cai Shanghai University
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University
Dong-Qing Wei
Dong-Qing Wei Shanghai Jiao Tong University
Xuan Xiao
Xuan Xiao Jingdezhen Ceramic Institute
Wei Chen
Wei Chen Chengdu University of Traditional Chinese Medicine
Hao Lin
Hao Lin University of Electronic Science and Technology of China
Jiangning Song
Jiangning Song Monash University
Chun-Ting Zhang
Chun-Ting Zhang Tianjin University
Bin Liu
Bin Liu National University of Singapore
Harold A. Scheraga
Harold A. Scheraga Cornell University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Kuo-Chen Chou

Recently Published Articles