Author

Yuya Hatano

Brain Research Institute, Niigata UniversityORCID 0000-0001-9048-5985Unclaimed 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

Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Osamu OnoderaiD· 1 shared Tomohiko IshiharaiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Osamu OnoderaORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 7, 2022

Accuracy of a machine learning method based on structural and locational information from AlphaFold2 for predicting the pathogenicity of TARDBP and FUS gene variants in ALS

Yuya Hatano, Tomohiko Ishihara, Osamu Onodera

The paper develops MOVA, a machine learning method using AlphaFold2 structural data to predict pathogenicity of ALS-related gene variants, showing good accuracy for TARDBP and FUS.

DOI 10.1101/2022.07.07.499092

humanprotein structure

𝕏 PostBluesky