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Amy E. Keating

Affiliations: 
Biology Massachusetts Institute of Technology, Cambridge, MA, United States 
Area:
Computational, biophysical, structural and proteomic studies of protein-protein interactions
Website:
https://biology.mit.edu/people/amy_keating
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"Amy E. Keating"
Bio:

http://mit.edu/biology/keating/KeatingLab/Home.html

Mean distance: 7.25
 
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Parents

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Miguel A. Garcia-Garibay grad student 1998 UCLA
 (Molecular mechanics, quantum mechanics and direct dynamics applied to the study of organic carbene reactivity)
Kendall N. Houk grad student 1998 UCLA
Peter S. Kim post-doc 2002 MIT
Bruce Tidor post-doc 2002 MIT

Children

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Orr Ashenberg grad student MIT
Christina M Taylor grad student 1999-2005 MIT
Gevorg Grigoryan grad student 2007 MIT
Kelly M Elkins post-doc 2003-2004 MIT
Won Min Park post-doc 2015-2018 MIT

Collaborators

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Publications

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Savinov A, Swanson S, Keating AE, et al. (2025) High-throughput discovery of inhibitory protein fragments with AlphaFold. Proceedings of the National Academy of Sciences of the United States of America. 122: e2322412122
Halpin JC, Keating AE. (2024) PairK: Pairwise k-mer alignment for quantifying protein motif conservation in disordered regions. Protein Science : a Publication of the Protein Society. 34: e70004
Halpin JC, Keating AE. (2024) PairK: Pairwise k-mer alignment for quantifying protein motif conservation in disordered regions. Biorxiv : the Preprint Server For Biology
Savinov A, Swanson S, Keating AE, et al. (2023) High-throughput computational discovery of inhibitory protein fragments with AlphaFold. Biorxiv : the Preprint Server For Biology
Ghose DA, Przydzial KE, Mahoney EM, et al. (2023) Marginal specificity in protein interactions constrains evolution of a paralogous family. Proceedings of the National Academy of Sciences of the United States of America. 120: e2221163120
Li AJ, Lu M, Desta I, et al. (2022) Neural Network-Derived Potts Models for Structure-Based Protein Design using Backbone Atomic Coordinates and Tertiary Motifs. Protein Science : a Publication of the Protein Society. e4554
Halpin JC, Whitney D, Rigoldi F, et al. (2022) Molecular determinants of TRAF6 binding specificity suggest that native interaction partners are not optimized for affinity. Protein Science : a Publication of the Protein Society. 31: e4429
Swanson S, Sivaraman V, Grigoryan G, et al. (2022) Tertiary motifs as building blocks for the design of protein-binding peptides. Protein Science : a Publication of the Protein Society. 31: e4322
Hwang T, Parker SS, Hill SM, et al. (2022) Native proline-rich motifs exploit sequence context to target actin-remodeling Ena/VASP protein ENAH. Elife. 11
Frappier V, Keating AE. (2021) Data-driven computational protein design. Current Opinion in Structural Biology. 69: 63-69
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