Author

L. P. Carter

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 Bioengineering· 1

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Research Focus:protein design· 3 Assay:protein structure· 3 Approach:deep learning· 2 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

D. Baker· 3 shared M. J. Bick· 2 shared A. C. McShan· 1 shared A. K. Bera· 1 shared A. Tobin· 1 shared B. Basanta· 1 shared C. M. Chow· 1 shared C. Norn· 1 shared

Activity by Year

2019-2021 · peak 1/yr

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10 top collaborators · 25 mutual co-author links

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3 shared papersBiochemistry

D. Baker

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3 papers

Recent·Most cited

Sampling of Structure and Sequence Space of Small Protein Folds

T. W. Linsky, K. Noble, A. Tobin, R. Crow, L. P. Carter, J. L. Urbauer, D. Baker, E.-M. Strauch

The paper designs and evaluates 30,000 de novo proteins to explore shape diversity, identifies 6,200 stable proteins, and develops a classifier for stability prediction.

bioRxiv · Mar 10, 2021Bioengineering

A generative algorithm for de novo design of proteins with diverse pocket structures

B. Basanta, M. J. Bick, A. K. Bera, C. Norn, C. M. Chow, L. P. Carter, I. Goreshnick, F. Dimaio, D. Baker

This paper introduces a generative algorithm for designing de novo proteins with diverse small molecule binding pockets, validated through experimental testing and showing improved stability and diversity compared to natural proteins.

bioRxiv · Mar 23, 2020Biochemistry

Computational design of a protein family that adopts two well-defined and structurally divergent de novo folds

K. Y. Wei, D. Moschidi, M. J. Bick, S. Nerli, A. C. McShan, L. P. Carter, P.-S. Huang, D. A. Fletcher, N. G. Sgourakis, S. E. Boyken, D. Baker

This paper designs a protein family with two structurally divergent folds, showing that sequences can adopt distinct conformations under different conditions.

bioRxiv · Sep 4, 2019 · PreprintBiochemistry