Amy E Keating

ORCID

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 19

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

Protein science : a publication of the Protein Society

eLife

UCLA (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

UCLA

United States

PHD :: Chemistry

Publications

Alex J Li, Mindren Lu, Israel Desta, Vikram Sundar, Gevorg Grigoryan, Amy E Keating
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 32 (2) (2023)
Dia A Ghose, Kaitlyn E Przydzial, Emily M Mahoney, Amy E Keating, Michael T Laub
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 (18) (2023)
Alex J Li, Mindren Lu, Israel Desta, Vikram Sundar, Gevorg Grigoryan, Amy E Keating
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 32 (2) (2023)
Dia A Ghose, Kaitlyn E Przydzial, Emily M Mahoney, Amy E Keating, Michael T Laub
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 (18) (2023)
Dia A Ghose, Kaitlyn E Przydzial, Emily M Mahoney, Amy E Keating, Michael T Laub
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 (18) (2023)
Dia A Ghose, Kaitlyn E Przydzial, Emily M Mahoney, Amy E Keating, Michael T Laub
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 (18) (2023)
Alex J Li, Mindren Lu, Israel Desta, Vikram Sundar, Gevorg Grigoryan, Amy E Keating
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 32 (2) (2023)
Alex J Li, Mindren Lu, Israel Desta, Vikram Sundar, Gevorg Grigoryan, Amy E Keating
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 32 (2) (2023)
Dia A Ghose, Kaitlyn E Przydzial, Emily M Mahoney, Amy E Keating, Michael T Laub
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 (18) (2023)
Dia A Ghose, Kaitlyn E Przydzial, Emily M Mahoney, Amy E Keating, Michael T Laub
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 (18) (2023)
Dia A Ghose, Kaitlyn E Przydzial, Emily M Mahoney, Amy E Keating, Michael T Laub
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 (18) (2023)
Theresa Hwang, Sara S Parker, Samantha M Hill, Robert A Grant, Meucci W Ilunga, Venkatesh Sivaraman, Ghassan Mouneimne, Amy E Keating
Native proline-rich motifs exploit sequence context to target actin-remodeling Ena/VASP protein ENAH. eLife 11 (2022)
Sebastian Swanson, Venkatesh Sivaraman, Gevorg Grigoryan, Amy E Keating
Tertiary motifs as building blocks for the design of protein-binding peptides. Protein science : a publication of the Protein Society 31 (6) (2022)
Jackson C Halpin, Dustin Whitney, Federica Rigoldi, Venkat Sivaraman, Avinoam Singer, Amy E Keating
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 (11) (2022)
Alex J Li, Mindren Lu, Israel Desta, Vikram Sundar, Gevorg Grigoryan, Amy E Keating
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 (2022)
Alex J Li, Mindren Lu, Israel Desta, Vikram Sundar, Gevorg Grigoryan, Amy E Keating
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 (2022)
Theresa Hwang, Sara S Parker, Samantha M Hill, Meucci W Ilunga, Robert A Grant, Ghassan Mouneimne, Amy E Keating
A distributed residue network permits conformational binding specificity in a conserved family of actin remodelers. eLife 10 (2021)
Justin M Jenson, Vincent Xue, Lindsey Stretz, Tirtha Mandal, Lothar Luther Reich, Amy E Keating
Peptide design by optimization on a data-parameterized protein interaction landscape. Proceedings of the National Academy of Sciences of the United States of America 115 (44) (2018)
Justin M Jenson, Jeremy Adam Ryan, Robert A Grant, Anthony Letai, Amy E Keating
Epistatic mutations in PUMA BH3 drive an alternate binding mode to potently and selectively inhibit anti-apoptotic Bfl-1. eLife 6 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amy E Keating