Author

Andy M. DeGiovanni

Lawrence Berkeley National Laboratory

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· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:plant (other)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:structural biology· 1

Frequent Co-Authors

Jose Henrique PereiraiD· 2 shared Paul D. AdamsiD· 2 shared Alberdina Aike van DijkiD· 1 shared Ana Cristina EbrechtiD· 1 shared Andria V. RodriguesiD· 1 shared Breeanna Rae UrbanowicziD· 1 shared Caleb R. GlassmaniD· 1 shared Calvin K. YipiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBiochemistry

Jose Henrique PereiraORCID

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Author profile →

2 papers

Recent·Most cited

Biochemical and structural characterization of glycosyltransferase family 61 proteins reveal a key determinant of sugar donor specificity

Hsin‐Tzu Wang, Jose Henrique Pereira, Andy M. DeGiovanni, Pradeep Kumar Prabhakar, Digantkumar Gopaldas Chapla, Kelley W. Moremen, Breeanna Rae Urbanowicz, Paul D. Adams, Henrik Vibe Scheller

The paper characterizes two GT61 enzymes in Sorghum bicolor, identifies their functions in xylan modification, and identifies a residue critical for sugar donor specificity through structural and biochemical analysis.

bioRxiv · Jul 18, 2025 · PreprintBiochemistry

Accurate prediction of protein structures and interactions using a 3-track network

Minkyung Baek, Frank DiMaio, Ivan V. Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N. Kinch, Richard Dustin Schaeffer, Claudia Millán, Hahnbeom Park, Carson Adams, Caleb R. Glassman, Andy M. DeGiovanni, , David A. Baker

The paper introduces a 3-track network for accurate protein structure and interaction prediction, achieving performance close to DeepMind's CASP14 results and enabling rapid modeling of protein complexes from sequence data.

Science · Jul 15, 2021Peer-reviewedBioinformatics