Amy E. Keating

Amy E. Keating

Professor of Biology and Biological Engineering; Associate Department Head; Graduate Officer

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





Tau Zaman



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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. Modular assembly of a protein nanotriangle using orthogonally interacting coiled coils. Park, WM, Bedewy, M, Berggren, KK, Keating, AE. 2017. Sci Rep 7, 10577.
    doi: 10.1038/s41598-017-10918-6PMID:28874805
  8. Epistatic mutations in PUMA BH3 drive an alternate binding mode to potently and selectively inhibit anti-apoptotic Bfl-1. Jenson, JM, Ryan, JA, Grant, RA, Letai, A, Keating, AE. 2017. Elife 6, .
    doi: 10.7554/eLife.25541PMID:28594323
  9. Enriching Peptide Libraries for Binding Affinity and Specificity Through Computationally Directed Library Design. Foight, GW, Chen, TS, Richman, D, Keating, AE. 2017. Methods Mol Biol 1561, 213-232.
    doi: 10.1007/978-1-4939-6798-8_13PMID:28236241
  10. Combinatorial bZIP dimers display complex DNA-binding specificity landscapes. Rodríguez-Martínez, JA, Reinke, AW, Bhimsaria, D, Keating, AE, Ansari, AZ. 2017. Elife 6, .
    doi: 10.7554/eLife.19272PMID:28186491
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