Willow Coyote-Maestas, PhD, MS
Assistant Professor
Bioengineering
School of Pharmacy

Awards

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• Investigator, Chan Zuckerberg Biohub, 2023-2028
• Hanna Gray Fellow, Howard Hughes Medical Institute, 2021-2027
• Fellow, Quantitative Biology Institute, 2021-2023
• Milne-Brandenbrug Research Award, University of Minnesota, Twin Cities, 2020
• Ross A. Gortner Research Award, University of Minnesota, Twin Cities, 2019
• Gilliam Fellow, Howard Hughes Medical Institute, 2018-2021
• Graduate Research Fellowship, National Science Foundation, 2017-2018
• All Nations Louis Stokes Alliances for Minority Participation in STEM, National Science Foundation, 2013-2014

Education & Training

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• PhD Biochemistry, Molecular Biology & Biophysics University of Minnesota, Twin Cities 01/2021
• MS Bioinformatics & Computational Biology University of Minnesota 11/2019
• BS Chemistry The Evergreen State College 06/2014
• BA Environmental Studies The Evergreen State College 06/2014

Websites

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• Coyote-Maestas Lab Website (wcoyotelab.com)

Publications (18)

Top publication keywords:
DNA Transposable ElementsMolecular Dynamics SimulationRecombination, GeneticBiophysicsProtein DomainsPotassium ChannelsOrganic Cation Transporter 1Mutagenesis, InsertionalProtein EngineeringProto-Oncogene Proteins c-metProtein ConformationAllosteric SiteBacteriophagesPotassium Channels, Inwardly RectifyingMutation, Missense

• Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning.
  eLife 2025 Estevam GO, Linossi E, Rao J, Macdonald CB, Ravikumar A, Chrispens KM, Capra JA, Coyote-Maestas W, Pimentel H, Collisson EA, Jura N, Fraser JS
• Molecular basis of proton sensing by G protein-coupled receptors.
  Cell 2025 Howard MK, Hoppe N, Huang XP, Mitrovic D, Billesbølle CB, Macdonald CB, Mehrotra E, Rockefeller Grimes P, Trinidad DD, Delemotte L, English JG, Coyote-Maestas W, Manglik A
• Using multiplexed functional data to reduce variant classification inequities in underrepresented populations.
  Genome medicine 2024 Dawood M, Fayer S, Pendyala S, Post M, Kalra D, Patterson K, Venner E, Muffley LA, Fowler DM, Rubin AF, Posey JE, Plon SE, Lupski JR, Gibbs RA, Starita LM, Robles-Espinoza CD, Coyote-Maestas W, …
• A Suite of Foundation Models Captures the Contextual Interplay Between Codons.
  bioRxiv : the preprint server for biology 2024 Naghipourfar M, Chen S, Howard MK, Macdonald CB, Saberi A, Hagen T, Mofrad MRK, Coyote-Maestas W, Goodarzi H
• Conserved regulatory motifs in the juxtamembrane domain and kinase N-lobe revealed through deep mutational scanning of the MET receptor tyrosine kinase domain.
  eLife 2024 Estevam GO, Linossi EM, Macdonald CB, Espinoza CA, Michaud JM, Coyote-Maestas W, Collisson EA, Jura N, Fraser JS

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• Deep mutational scanning of EccD3 reveals the molecular basis of its essentiality in the mycobacterium ESX secretion system.
  bioRxiv : the preprint server for biology 2024 Trinidad DD, Macdonald CB, Rosenberg OS, Fraser JS, Coyote-Maestas W
• Rosace: a robust deep mutational scanning analysis framework employing position and mean-variance shrinkage.
  Genome biology 2024 Rao J, Xin R, Macdonald C, Howard MK, Estevam GO, Yee SW, Wang M, Fraser JS, Coyote-Maestas W, Pimentel H
• The full spectrum of SLC22 OCT1 mutations illuminates the bridge between drug transporter biophysics and pharmacogenomics.
  Molecular cell 2024 Yee SW, Macdonald CB, Mitrovic D, Zhou X, Koleske ML, Yang J, Buitrago Silva D, Rockefeller Grimes P, Trinidad DD, More SS, Kachuri L, Witte JS, Delemotte L, Giacomini KM, Coyote-Maestas W
• Profiling the proximal proteome of the activated μ-opioid receptor.
  Nature chemical biology 2024 Polacco BJ, Lobingier BT, Blythe EE, Abreu N, Khare P, Howard MK, Gonzalez-Hernandez AJ, Xu J, Li Q, Novy B, Naing ZZC, Shoichet BK, Coyote-Maestas W, Levitz J, Krogan NJ, Von Zastrow M, Hüttenhain R
• DIMPLE: deep insertion, deletion, and missense mutation libraries for exploring protein variation in evolution, disease, and biology.
  Genome biology 2023 Macdonald CB, Nedrud D, Grimes PR, Trinidad D, Fraser JS, Coyote-Maestas W
• Determinants of trafficking, conduction, and disease within a K+ channel revealed through multiparametric deep mutational scanning.
  eLife 2022 Coyote-Maestas W, Nedrud D, He Y, Schmidt D
• Probing ion channel functional architecture and domain recombination compatibility by massively parallel domain insertion profiling.
  Nature communications 2021 Coyote-Maestas W, Nedrud D, Suma A, He Y, Matreyek KA, Fowler DM, Carnevale V, Myers CL, Schmidt D
• ORACLE reveals a bright future to fight bacteria.
  eLife 2021 Coyote-Maestas W, Fraser JS
• A large-scale survey of pairwise epistasis reveals a mechanism for evolutionary expansion and specialization of PDZ domains.
  Proteins 2021 Nedrud D, Coyote-Maestas W, Schmidt D
• Targeted insertional mutagenesis libraries for deep domain insertion profiling.
  Nucleic acids research 2020 Coyote-Maestas W, Nedrud D, Okorafor S, He Y, Schmidt D
• Targeted insertional mutagenesis libraries for deep domain insertion profiling.
  Nucleic acids research 2020 Coyote-Maestas W, Nedrud D, Okorafor S, He Y, Schmidt D
• Domain insertion permissibility-guided engineering of allostery in ion channels.
  Nature communications 2019 Coyote-Maestas W, He Y, Myers CL, Schmidt D
• Two distinct pools of B12 analogs reveal community interdependencies in the ocean.
  Proceedings of the National Academy of Sciences of the United States of America 2016 Heal KR, Qin W, Ribalet F, Bertagnolli AD, Coyote-Maestas W, Hmelo LR, Moffett JW, Devol AH, Armbrust EV, Stahl DA, Ingalls AE