Author

Mikhail Korovnik

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· 1

Signature Assays, Organisms & Methods

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

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Dong SiiD· 1 shared Jie HouiD· 1 shared Kiyomi Kishaba· 1 shared Kyle HippeiD· 1 shared Renzhi CaoiD· 1 shared

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2021-2021 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Dong SiORCID

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1 paper

Recent·Most cited

SynthQA - Hierarchical Machine Learning-based Protein Quality Assessment

Mikhail Korovnik, Kyle Hippe, Jie Hou, Dong Si, Kiyomi Kishaba, 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.

bioRxiv · Jan 28, 2021 · PreprintBioinformatics