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Shuichiro Makigaki
School of Computing, Tokyo Instisute of Technology
1 protocol
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Takashi Ishida
Associate professor, Department of Computer Science, Tokyo Institute of Technology, 2009-2020
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1
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Education
PhD, The University of Tokyo, Japan, 2006
Publications
https://scholar.google.com/citations?hl=ja&user=kudXipEAAAAJ
1 Protocol published
Sequence Alignment Using Machine Learning for Accurate Template-based Protein Structure Prediction
Authors:
Shuichiro Makigaki
and
Takashi Ishida
,
date:
05/05/2020,
view:
1638,
Q&A:
0
Template-based modeling, the process of predicting the tertiary structure of a protein by using homologous protein structures, is useful when good templates can be available. Indeed, modern homology detection methods can find remote homologs with ...
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