Author

Gessica M. Adornato

University of Pittsburgh

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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Biochemistry· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:protein folding & dynamics· 2 Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

Peng LiuiD· 2 shared William F. DeGradoiD· 2 shared Yang YangiD· 2 shared Alexander N. VolkoviD· 1 shared David N. BerataniD· 1 shared Hyunil JoiD· 1 shared Ivan V. KorendovychiD· 1 shared Kai-Peng HouiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBiochemistry

Peng LiuORCID

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintSep 10, 2026

Interplay of stability and dynamics in the optimization of a highly proficient de novo enzyme

Sagar Bhattacharya, Gessica M. Adornato, Yuda Chen…·William F. DeGrado

This study identifies features contributing to catalytic efficiency in a de novo enzyme through computational design and directed evolution, showing how stability and dynamics interplay in enzyme optimization.

DOI 10.64898/2026.05.29.728685

proteomicsexperimental assay

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BiochemistryJournal of the American Chemical SocietyPeer-reviewedOct 22, 2025

De Novo Design, Directed Evolution and Computational Study of Heme-Binding Helical Bundle Protein Catalysts for Biocatalytic Enantioselective Ge-H Insertion

Wei Huang, Gessica M. Adornato, Maggie Horst…·Yang Yang

This paper designs and evolves de novo helical bundle proteins to catalyze enantioselective Ge-H insertion, showing improved efficiency and selectivity through computational analysis and directed evolution.

11 citations

protein structuredeep learning

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