Matthew K. Howard
PhD Candidate, UCSF | GPCRs | Functional Genomics | Structural Biology | Pharmacology
Last updated: December 2025
About
I develop and apply high-throughput experimental platforms—primarily deep mutational scanning—to understand GPCR function, pharmacology, and evolution at single-residue resolution. I integrate these approaches with structural biology, molecular simulation, and cell biology to reveal how receptors sense their environment and respond to drugs.
I'm currently a PhD candidate at UCSF working in the Coyote-Maestas and Manglik labs where I collaborate broadly across disciplines including statistics, machine learning, and various "-omics" approaches.
Before UCSF, I graduated from Washington University in St. Louis with degrees in chemistry and biology. At WashU, I worked in the Jackrel lab studying protein disaggregases and amyloid biology.
Find me here: email · Bluesky · Twitter/X · GitHub · LinkedIn · Google Scholar · ORCID
Research
Proton-sensing GPCRs
How do cells detect changes in pH? I used deep mutational scanning of GPR68 to map the complete sequence determinants of proton sensing, combining multiphenotypic screening of both expression and function to identify a conserved polar and charged network that acts as a molecular pH sensor. Together with cryo-EM structures, molecular simulation, and pharmacology, this work revealed how evolution has tuned GPCR sensitivity to extracellular acidification—relevant to inflammation, ischemia, and cancer biology. Published in Cell (2025).
Deep Mutational Pharmacology
I extended GPCR-DMS to Gαi-coupled receptor signaling, using the μ-opioid receptor as a model system to map how every residue contributes to ligand efficacy and potency across diverse chemical matter—from morphine to fentanyl to other synthetic agonists. By comparing mutational effects across compounds, I'm uncovering the distinct residue networks that govern receptor activation for each drug class, with the goal of informing the design of safer analgesics. Manuscript in preparation.
Publications
Google Scholar may be more current. Please Email me if paywalls get in your way.
Highlighted
Howard MK, Hoppe N, Huang XP, Mitrovic D, Billesbølle CB, Macdonald CB, Mehrotra E, Rockefeller Grimes P, Trinidad DD, Delemotte L, English J, Coyote-Maestas W, Manglik A (2025) Molecular basis of proton-sensing by G protein-coupled receptors. Cell. https://doi.org/10.1016/j.cell.2024.11.036
PhD work at UCSF
- Howard MK & Coyote-Maestas W (2026) Mechanistic mutational scanning to uncover the secret life of proteins. Annual Reviews Biomedical Data Science. [Accepted]
- Tedman A, Goel M, Shah S, Howard MK, Chamness LM, Bonifasi A, Adams I, Gallagher JM, Penn WD, Nemec K, McDonald EF, Corman BN, Robinson JP, Post CB, Clark PL, Babu MM, Manglik AM, Kuntz CP, Coyote-Maestas W, Schlebach JP (2025) Deep Receptor Scanning Reveals General Sequence Constraints on GPCR Biosynthesis. bioRxiv. https://doi.org/10.1101/2025.09.19.677468
- Freudenberg J, Rao J, Howard MK, Macdonald C, Greenwald NF, et al. (2025) Accurate variant effect estimation in FACS-based deep mutational scanning data with Lilace. bioRxiv. https://doi.org/10.1101/2025.06.24.661380
- Rao J, Wang M, Howard MK, Coyote-Maestas W, Pimentel H (2025) Cosmos: A Position-Resolution Causal Model for Direct and Indirect Effects in Protein Functions. bioRxiv. https://doi.org/10.1101/2025.08.01.667517
- Rao J, Wang M, Howard MK, Macdonald C, Fraser JS, Coyote-Maestas W, Pimentel H (2025) Rosace-AA: Enhancing interpretation of deep mutational scanning data with amino acid substitution and position-specific insights. Bioinformatics Advances. https://doi.org/10.1093/bioadv/vbaf218
- Macdonald C, Nedrud D, Grimes PR, Trinidad D, Shin C, Greenwald N, Howard MK, Fraser J, Coyote-Maestas (2025) DIMPLE library generation and assembly protocol V6. protocol.io. https://doi.org/10.1101/2024.10.10.617568
- Naghipourfar M, Chen S, Howard MK, Macdonald CB, Saberi A, Hagen T, Mofrad MRK, Coyote-Maestas W, Growald M (2024) A Suite of Foundation Models Captures the Contextual Interplay Between Codons. bioRxiv. https://doi.org/10.1101/2024.10.10.617568
- Rao J, Xin R, Macdonald C, Howard MK, Estevam GO, Yee SW, Wang M, Fraser JS, Coyote-Maestas W, Pimentel H (2024) Rosace: a robust deep mutational scanning analysis framework employing position and mean-variance shrinkage. Genome Biology. https://doi.org/10.1186/s13059-024-03279-7
- 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, Zastrow MV, Hüttenhain R (2024) Profiling the proximal proteome of the activated μ-opioid receptor. Nature Chemical Biology. https://doi.org/10.1038/s41589-024-01588-3
From WUSTL
- Chen S, Puri A, Bell B, Fritsche J, Palacios HH, Balch M, Sprunger ML, Howard MK, Patterson JN, Patti GJ, Davis AA, Jackrel ME (2024) HtrA1 disaggregates α-synuclein amyloid fibrils and converts them into non-toxic and seeding incompetent species. Nature Communications. https://doi.org/10.1038/s41467-024-46538-8
- Shrimali PC, Chen S, Das A, Dreher R, Howard MK, Ryan J, Buck J, Kim D, Sprunger M, Rudra JS, Jackrel ME (2023) Amyloidogenic Propensity of Self-Assembling Peptides and their Adjuvant Potential for use as DNA Vaccines. Acta Biomaterialia. https://doi.org/10.1016/j.actbio.2023.08.015
- Howard MK, Miller KR, Sohn BS, Ryan JJ, Xu A, Jackrel ME (2023) Probing the drivers of Staphylococcus aureus biofilm protein amyloidogenesis and disrupting biofilms with engineered protein disaggregases. mBio. https://doi.org/10.1128/mbio.00587-23
- Howard MK, Sohn BS, von Borcke J, Xu A, Jackrel ME (2020) Functional analysis of proposed substrate-binding residues of Hsp104. PLoS ONE. https://doi.org/10.1371/journal.pone.0230198
News & Upcoming
- February 2026: Matt gives a poster talk at the HHMI Janelia Science Meeting (Ashburn, VA)
- February 2026: Matt gives a platform talk at the Biophysical Society Annual Meeting (San Francisco, CA)
- March 2026: Matt served as a discussion leader at the Ligand Recognition and Molecular Gating GRS and presents a poster at both the GRS and GRC (Lucca, Italy)
Full news archive →