S
Shih-Chieh Su
Researcher at National Chung Cheng University
Publications - 13
Citations - 382
Shih-Chieh Su is an academic researcher from National Chung Cheng University. The author has contributed to research in topics: Protein structure prediction & Medicine. The author has an hindex of 4, co-authored 7 publications receiving 100 citations.
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Journal ArticleDOI
Monoclonal antibodies for COVID-19 therapy and SARS-CoV-2 detection
Yunseo Hwang,Ruei-Min Lu,Shih-Chieh Su,Pao-Yin Chiang,Shih-Han Ko,Feng-Yi Ke,Kang-Hao Liang,Tzung-yang Hsieh,Han-Chung Wu +8 more
TL;DR: In this paper , the authors highlight some key points regarding mAb-based detection tests and treatments for the COVID-19 pandemic and highlight the use of mAbs as surveillance tools that can be used to prevent the spread of CoV-19.
Journal ArticleDOI
Monoclonal antibodies for COVID-19 therapy and SARS-CoV-2 detection
Yunseo Hwang,Ruei-Min Lu,Shih-Chieh Su,Pao-Yin Chiang,Shih-Han Ko,Feng-Yi Ke,Kang-Hao Liang,Tzung-yang Hsieh,Han-Chung Wu +8 more
TL;DR: In this article , the authors highlight some key points regarding mAb-based detection tests and treatments for the COVID-19 pandemic and highlight the use of mAbs as surveillance tools that can be used to prevent the spread of CoV-19.
Journal ArticleDOI
Protein 3D HP Model Folding Simulation Using a Hybrid of Genetic Algorithm and Particle Swarm Optimization
Cheng-Jian Lin,Shih-Chieh Su +1 more
TL;DR: Simulation results indicate that the hybrid genetic-based particle swarm optimization approach outperforms the existing evolutionary algorithms and can be applied successfully to the protein folding problem based on the three-dimensional hydrophobic- hydrophilic lattice model.
Journal ArticleDOI
An effective hybrid of hill climbing and genetic algorithm for 2D triangular protein structure prediction
TL;DR: This paper proposes a hybrid of hill-climbing and genetic algorithm based on elite-based reproduction strategy for protein structure prediction on the 2D triangular lattice that significantly outperforms conventional genetic algorithms and is comparable to the state-of-the-art method in terms of free energy.
Journal ArticleDOI
A critical overview of current progress for COVID-19: development of vaccines, antiviral drugs, and therapeutic antibodies
Monika Kumari,Ruei-Min Lu,Mu-Chun Li,Jhih-Liang Huang,Fu-Fei Hsu,Shih-Han Ko,Feng-Yi Ke,Shih-Chieh Su,Kang-Hao Liang,Joyce Pei-Yi Yuan,H.L. Chiang,Cheng-Pu Sun,I-Jung Lee,Wen-Shan Li,Hsing Pang Hsieh,Mi-Hua Tao,Han-Chung Wu +16 more
TL;DR: In this paper , the authors provide a framework for understanding the ongoing development efforts for different types of vaccines and therapeutics, including small molecule and antibody drugs, and summarize the clinical trials supporting the development and distribution of vaccines, small molecule drugs and therapeutic antibodies with broad spectrum activity against SARS-CoV-2 strains.