Author

I. Kalvet

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:deep learning· 2 Research Focus:protein design· 2 Research Focus:protein structure prediction· 2 Approach:diffusion model· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

D. Baker· 2 shared J. Wang· 2 shared A. Hitchcock· 1 shared A. K. Bera· 1 shared A. Kang· 1 shared B. I. M. Wicky· 1 shared B. Sankaran· 1 shared C. N. Hunter· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBiochemistry

D. Baker

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2 papers

Recent·Most cited

Generalized Biomolecular Modeling and Design with RoseTTAFold All-Atom

R. Krishna, J. Wang, W. Ahern, P. Sturmfels, P. Venkatesh, I. Kalvet, G. R. Lee, F. S. Morey-Burrows, I. Anishchenko, I. R. Humphreys, R. McHugh, D. Vafeados, X. Li, G. A. Sutherland, A. Hitchcock, , D. Baker

This paper introduces RFAA and RFdiffusionAA, models that can predict and design complex biomolecular assemblies including proteins, nucleic acids, small molecules, and covalent modifications.

bioRxiv · Oct 9, 2023Biochemistry

Improving protein expression, stability, and function with ProteinMPNN

K. H. Sumida, R. Nunez Franco, I. Kalvet, S. J. Pellock, B. I. M. Wicky, L. F. Milles, J. Dauparas, J. Wang, Y. Kipnis, N. Jameson, A. Kang, J. De La Cruz, B. Sankaran, A. K. Bera, G. Jimenez Oses, D. Baker

This paper introduces ProteinMPNN, a deep learning model that improves protein expression, stability, and function by incorporating evolutionary and structural information.

bioRxiv · Oct 3, 2023Biochemistry