Author

Shuichiro Makigaki

Tokyo Institute of TechnologyORCID 0000-0002-1988-2088Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Takashi IshidaiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJun 5, 2019

Sequence alignment using machine learning for accurate template-based protein structure prediction

Shuichiro Makigaki, Takashi Ishida

This study introduces a machine learning method to improve template-based protein structure prediction by generating more accurate sequence alignments.

26 citations

protein structuremachine learning (classical)

𝕏 PostBluesky