Amy E. Keating

Amy E. Keating

Jay A. Stein (1968) Professor of Biology; Professor of Biological Engineering; Department Head

Amy E. Keating determines how proteins make specific interactions with one another and designs new, synthetic protein-protein interactions.





Keith Murray



Assistant Phone


  • PhD, 1998, University of California, Los Angeles
  • SB, 1992, Physics, Harvard University

Research Summary

Our goal is to understand, at a high level of detail, how the interaction properties of proteins are encoded in their sequences and structures. We investigate protein-protein interactions by integrating data from high throughput assays, structural modeling, and bioinformatics with biochemical and biophysical experiments. Much of our work focuses on α-helical coiled-coil proteins, Bcl-2 apoptosis-regulating proteins, and protein domains that bind to short linear motifs.

Recent Publications

  1. Neural Network-Derived Potts Models for Structure-Based Protein Design using Backbone Atomic Coordinates and Tertiary Motifs. Li, AJ, Lu, M, Desta, I, Sundar, V, Grigoryan, G, Keating, AE. 2022. Protein Sci , e4554.
    doi: 10.1002/pro.4554PMID:36564857
  2. Tertiary motifs as building blocks for the design of protein-binding peptides. Swanson, S, Sivaraman, V, Grigoryan, G, Keating, AE. 2022. Protein Sci 31, e4322.
    doi: 10.1002/pro.4322PMID:35634780
  3. Native proline-rich motifs exploit sequence context to target actin-remodeling Ena/VASP protein ENAH. Hwang, T, Parker, SS, Hill, SM, Grant, RA, Ilunga, MW, Sivaraman, V, Mouneimne, G, Keating, AE. 2022. Elife 11, .
    doi: 10.7554/eLife.70680PMID:35076015
  4. A distributed residue network permits conformational binding specificity in a conserved family of actin remodelers. Hwang, T, Parker, SS, Hill, SM, Ilunga, MW, Grant, RA, Mouneimne, G, Keating, AE. 2021. Elife 10, .
    doi: 10.7554/eLife.70601PMID:34854809
  5. Spatial Multiplexing of Fluorescent Reporters for Imaging Signaling Network Dynamics. Linghu, C, Johnson, SL, Valdes, PA, Shemesh, OA, Park, WM, Park, D, Piatkevich, KD, Wassie, AT, Liu, Y, An, B et al.. 2020. Cell 183, 1682-1698.e24.
    doi: 10.1016/j.cell.2020.10.035PMID:33232692
  6. Precision Calcium Imaging of Dense Neural Populations via a Cell-Body-Targeted Calcium Indicator. Shemesh, OA, Linghu, C, Piatkevich, KD, Goodwin, D, Celiker, OT, Gritton, HJ, Romano, MF, Gao, R, Yu, CJ, Tseng, HA et al.. 2020. Neuron 107, 470-486.e11.
    doi: 10.1016/j.neuron.2020.05.029PMID:32592656
  7. Tertiary Structural Motif Sequence Statistics Enable Facile Prediction and Design of Peptides that Bind Anti-apoptotic Bfl-1 and Mcl-1. Frappier, V, Jenson, JM, Zhou, J, Grigoryan, G, Keating, AE. 2019. Structure 27, 606-617.e5.
    doi: 10.1016/j.str.2019.01.008PMID:30773399
  8. Peptide design by optimization on a data-parameterized protein interaction landscape. Jenson, JM, Xue, V, Stretz, L, Mandal, T, Reich, LL, Keating, AE. 2018. Proc Natl Acad Sci U S A 115, E10342-E10351.
    doi: 10.1073/pnas.1812939115PMID:30322927
  9. Iterative optimization yields Mcl-1-targeting stapled peptides with selective cytotoxicity to Mcl-1-dependent cancer cells. Rezaei Araghi, R, Bird, GH, Ryan, JA, Jenson, JM, Godes, M, Pritz, JR, Grant, RA, Letai, A, Walensky, LD, Keating, AE et al.. 2018. Proc Natl Acad Sci U S A 115, E886-E895.
    doi: 10.1073/pnas.1712952115PMID:29339518
  10. PixelDB: Protein-peptide complexes annotated with structural conservation of the peptide binding mode. Frappier, V, Duran, M, Keating, AE. 2018. Protein Sci 27, 276-285.
    doi: 10.1002/pro.3320PMID:29024246
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