Author

Kiyomi Kishaba

Pacific Lutheran University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Kyle HippeiD· 2 shared Renzhi CaoiD· 2 shared Cade Lilley· 1 shared Dong SiiD· 1 shared Jie HouiD· 1 shared Joshua William Berkenpas· 1 shared Mikhail Korovnik· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Kyle HippeORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 28, 2021

ZoomQA: Residue-Level Single-Model QA Support Vector Machine Utilizing Sequential and 3D Structural Features

Kyle Hippe, Cade Lilley, Joshua William Berkenpas…·Renzhi Cao

ZoomQA evaluates residue-level accuracy of protein structure and complex predictions using sequential and 3D structural features without homology searches.

1 citation

protein structurestatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 28, 2021

SynthQA - Hierarchical Machine Learning-based Protein Quality Assessment

Mikhail Korovnik, Kyle Hippe, Jie Hou…·Renzhi Cao

This paper introduces SynthQA, a hierarchical machine learning method for protein model quality assessment that outperforms traditional methods by incorporating multi-scale features and feature relationships.

1 citation

protein structuremachine learning (classical)

𝕏 PostBluesky