Mapping functional regions of essential bacterial proteins with dominant-negative protein fragments
Open accessPublished version of a preprint
Abstract
Massively parallel measurements of dominant-negative inhibition by protein fragments have been used to map protein interaction sites and discover peptide inhibitors. However, the underlying principles governing fragment-based inhibition have thus far remained unclear. Here, we adapted a high-throughput inhibitory fragment assay for use in Escherichia coli , applying it to a set of 10 essential proteins. This approach yielded single amino acid resolution maps of inhibitory activity, with peaks localized to functionally important interaction sites, including oligomerization interfaces and folding contacts. Leveraging these data, we performed a systematic analysis to uncover principles of fragment-based inhibition. We determined a robust negative correlation between susceptibility to inhibition and cellular protein concentration, demonstrating that inhibitory fragments likely act primarily by titrating native protein interactions. We also characterized a series of trade-offs related to fragment length, showing that shorter peptides allow higher-resolution mapping but suffer from lower inhibitory activity. We employed an unsupervised statistical analysis to show that the inhibitory activities of protein fragments are largely driven not by generic properties such as charge, hydrophobicity, and secondary structure, but by the more specific characteristics of their bespoke macromolecular interactions. Overall, this work demonstrates fundamental characteristics of inhibitory protein fragment function and provides a foundation for understanding and controlling protein interactions in vivo.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669 · see citing works
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
A simple method for displaying the hydropathic character of a protein
Kyte, J., & Doolittle, R. F. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90515-0 · Cited by 22,694 · see citing works
ColabFold - Making protein folding accessible to all
Mirdita, M., Schütze, K., Moriwaki, Y., Heo, L., Ovchinnikov, S., & Steinegger, M. (2021) · doi:10.1101/2021.08.15.456425 · Cited by 9,391 · see citing works
UniProt: the universal protein knowledgebase in 2021
The UniProt Consortium, Bateman, A., Martin, M.-J., Orchard, S., Magrane, M., Agivetova, R., Ahmad, S., Alpi, E., Bowler-Barnett, E. H., Britto, R., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1100 · Cited by 6,372 · see citing works
Protein complex prediction with AlphaFold-Multimer
Evans, R., O’Neill, M., Pritzel, A., Antropova, N., Senior, A., Green, T., Žídek, A., Bates, R., Blackwell, S., Yim, J., et al. (2021) · doi:10.1101/2021.10.04.463034 · Cited by 3,808 · see citing works
D’Hulst, G., Soro-Arnaiz, I., Masschelein, E., Veys, K., Fitzgerald, G., Smeuninx, B., Kim, S., Deldicque, L., Blaauw, B., Carmeliet, P., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13889-6 · Cited by 2,310 · see citing works
Reaching for high-hanging fruit in drug discovery at protein–protein interfaces
Wells, J. A., & McClendon, C. L. (2007) · Nature · doi:10.1038/nature06526 · Cited by 1,963 · see citing works
Guruprasad, K., Reddy, B. V. B., & Pandit, M. W. (1990) · Protein Engineering Design and Selection · doi:10.1093/protein/4.2.155 · Cited by 1,349 · see citing works
Li, G., Burkhardt, D. H., Gross, C. A., & Weissman, J. S. (2014) · Cell · doi:10.1016/j.cell.2014.02.033 · Cited by 1,218 · see citing works
Harnessing protein folding neural networks for peptide–protein docking
Tsaban, T., Varga, J. K., Avraham, O., Ben-Aharon, Z., Khramushin, A., & Schueler-Furman, O. (2022) · Nature Communications · doi:10.1038/s41467-021-27838-9 · Cited by 1,205 · see citing works
Functional inactivation of genes by dominant negative mutations
Herskowitz, I. (1987) · Nature · doi:10.1038/329219a0 · Cited by 1,195 · see citing works
Structure of the AcrAB–TolC multidrug efflux pump
Du, D., Wang, Z., James, N. R., Voss, J. E., Klimont, E., Ohene‐Agyei, T., Venter, H., Chiu, W., & Luisi, B. F. (2014) · Nature · doi:10.1038/nature13205 · Cited by 664 · see citing works
Pervasive functional translation of noncanonical human open reading frames
Chen, J., Brunner, A., Cogan, J. Z., Nuñez, J. K., Fields, A. P., Adamson, B., Itzhak, D. N., Li, J. Y., Mann, M., Leonetti, M. D., et al. (2020) · Science · doi:10.1126/science.aay0262 · Cited by 654 · see citing works
N-degron and C-degron pathways of protein degradation
Varshavsky, A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1816596116 · Cited by 544 · see citing works
Tobias, J. W., Shrader, T. E., Rocap, G., & Varshavsky, A. J. (1991) · Science · doi:10.1126/science.1962196 · Cited by 542 · see citing works
De novo design of potent and selective mimics of IL-2 and IL-15
Silva, D.-A., Yu, S., Ulge, U. Y., Spangler, J. B., Jude, K. M., Labão-Almeida, C., Ali, L. R., Quijano-Rubio, A., Ruterbusch, M., Leung, I., et al. (2019) · Nature · doi:10.1038/s41586-018-0830-7 · Cited by 531 · see citing works
EcoCyc: a comprehensive database of Escherichia coli biology
Keseler, I. M., Collado‐Vides, J., Santos-Zavaleta, A., Peralta-Gil, M., Gama‐Castro, S., Muñiz-Rascado, L., Bonavides-Martínez, C., Paley, S., Krummenacker, M., Altman, T., et al. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1143 · Cited by 498 · see citing works
Slobbe, L., Doorduijn, J. K., Lugtenburg, P. J., el Barzouhi, A., Boersma, E. H., van Leeuwen, W. B., & Rijnders, B. J. A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010840 · Cited by 491 · see citing works
Massively parallel de novo protein design for targeted therapeutics
Chevalier, A., Silva, D.-A., Rocklin, G. J., Hicks, D. R., Vergara, R., Murapa, P., Bernard, S. M., Zhang, L., Lam, K.-H., Yao, G., et al. (2017) · Nature · doi:10.1038/nature23912 · Cited by 453 · cited 1× · see citing works
“Synthetic peptides can also be engineered for such inhibitory functions, providing potential avenues for novel cancer therapeutics (8), antivirals (9) and antibiotics (10).”
BackgroundPeptide Design Principles for Antimicrobial Applications
Torres, M. D. T., Sothiselvam, S., Lu, T. K., & de la Fuente‐Núñez, C. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.12.015 · Cited by 438 · see citing works
Peptides: A Package for Data Mining of Antimicrobial Peptides
Osorio, D., Rondón-Villarreal, P., & Torres, R. G. (2015) · The R Journal · doi:10.32614/rj-2015-001 · Cited by 432 · see citing works
Small Proteins Can No Longer Be Ignored
Storz, G., Wolf, Y. I., & Ramamurthi, K. S. (2014) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-070611-102400 · Cited by 359 · see citing works
Mukherjee, A. K., & Lutkenhaus, J. (1999) · Journal of Bacteriology · doi:10.1128/jb.181.3.823-832.1999 · Cited by 278 · see citing works
Matthews, D. A., Bolin, J. T., Burridge, J. M., Filman, D. J., Volz, K. W., Kaufman, B. T., Beddell, C. R., Champness, J. N., Stammers, D. K., & Kraut, J. (1985) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)89743-5 · Cited by 271 · see citing works
DNA gyrase inhibitors: Progress and synthesis of potent compounds as antibacterial agents
Khan, T. A., Sankhe, K., Suvarna, V., Sherje, A. P., Patel, K. N., & Dravyakar, B. R. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.04.021 · Cited by 259 · see citing works
Interactions between human orbitofrontal cortex and hippocampus support model-based inference
Wang, F., Schoenbaum, G. M., & Kahnt, T. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000578 · Cited by 220 · see citing works
The Proteomic Landscape of Triple-Negative Breast Cancer
Lawrence, R., Perez, E. M., Hernández, D., Miller, C. P., Haas, K. M., Irie, H. Y., Lee, S., Blau, C. A., & Villén, J. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.03.050 · Cited by 219 · see citing works
Identifying Small Proteins by Ribosome Profiling with Stalled Initiation Complexes
Weaver, J., Mohammad, F., Buskirk, A. R., & Storz, G. (2019) · mBio · doi:10.1128/mbio.02819-18 · Cited by 180 · see citing works
Structural basis of lipopolysaccharide extraction by the LptB2FGC complex
Li, Y., Orlando, B. J., & Liao, M. (2019) · Nature · doi:10.1038/s41586-019-1025-6 · Cited by 166 · see citing works
At the Heart of Bacterial Cytokinesis: The Z Ring
Du, S., & Lutkenhaus, J. (2019) · Trends in Microbiology · doi:10.1016/j.tim.2019.04.011 · Cited by 162 · see citing works
Ultra-large chemical libraries for the discovery of high-affinity peptide binders
Quartararo, A. J., Gates, Z. P., Somsen, B. A., Hartrampf, N., Ye, X., Shimada, A., Kajihara, Y., Ottmann, C., & Pentelute, B. L. (2020) · Nature Communications · doi:10.1038/s41467-020-16920-3 · Cited by 154 · see citing works
Structural basis of transcription-translation coupling
Wang, C., Molodtsov, V., Firlar, E., Kaelber, J. T., Blaha, G. M., Su, M., & Ebright, R. H. (2020) · Science · doi:10.1126/science.abb5317 · Cited by 150 · see citing works
DNA Topoisomerase Inhibitors: Trapping a DNA-Cleaving Machine in Motion
Bax, B. D., Murshudov, G. N., Maxwell, A., & Germe, T. R. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.07.008 · Cited by 134 · see citing works
Buske, P. J., & Levin, P. A. (2013) · Molecular Microbiology · doi:10.1111/mmi.12272 · Cited by 115 · see citing works
Revisiting sORFs: overcoming challenges to identify and characterize functional microproteins
Schlesinger, D., & Elsässer, S. J. (2021) · FEBS Journal · doi:10.1111/febs.15769 · Cited by 111 · see citing works
Fundamental limits on the rate of bacterial growth and their influence on proteomic composition
Belliveau, N. M., Chure, G., Hueschen, C. L., García, H. G., Kondev, J., Fisher, D. S., Theriot, J. A., & Phillips, R. (2021) · Cell Systems · doi:10.1016/j.cels.2021.06.002 · Cited by 111 · see citing works
An expanding universe of small proteins
Hobbs, E. C., Fontaine, F., Yin, X., & Storz, G. (2011) · Current Opinion in Microbiology · doi:10.1016/j.mib.2011.01.007 · Cited by 106 · see citing works
<i>Escherichia coli</i> Small Proteome
Hemm, M. R., Weaver, J., & Storz, G. (2020) · EcoSal Plus · doi:10.1128/ecosalplus.esp-0031-2019 · Cited by 91 · see citing works
Membrane Localization of Small Proteins in Escherichia coli
Fontaine, F., Fuchs, R. T., & Storz, G. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.245696 · Cited by 80 · see citing works
Emerging peptide antibiotics with therapeutic potential
Upert, G., Luther, A., Obrecht, D., & Ermert, P. (2020) · Medicine in Drug Discovery · doi:10.1016/j.medidd.2020.100078 · Cited by 79 · see citing works
Crystal structure of the potassium-importing KdpFABC membrane complex
Huang, C.-S., Pedersen, B. P., & Stokes, D. L. (2017) · Nature · doi:10.1038/nature22970 · Cited by 77 · see citing works
FtsZ filament capping by MciZ, a developmental regulator of bacterial division
Filho, A. W. B., Discola, K. F., Castellen, P., Blasios, V., Martins, A. D. S., Sforça, M. L., García, W., Zeri, A. C. D. M., Erickson, H., Dessen, A., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1414242112 · Cited by 69 · see citing works
FtsZ as an Antibacterial Target: Status and Guidelines for Progressing This Avenue
Kusuma, K. D., Payne, M. S., Ung, A. T., Bottomley, A. L., & Harry, E. J. (2019) · ACS Infectious Diseases · doi:10.1021/acsinfecdis.9b00055 · Cited by 68 · see citing works
Pooled screening for antiproliferative inhibitors of protein-protein interactions
Nim, S., Jeon, J., Corbi‐Verge, C., Seo, M., Ivarsson, Y., Moffat, J., Tarasova, N. I., & Kim, P. M. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2026 · Cited by 41 · see citing works
Mapping the Spectrum of Conformational States of the DNA- and C-Gates in Bacillus subtilis Gyrase
Rudolph, M. G., & Klostermeier, D. (2013) · Journal of Molecular Biology · doi:10.1016/j.jmb.2013.04.010 · Cited by 36 · see citing works
Identification of inhibitors for single-stranded DNA-binding proteins in eubacteria
Glanzer, J. G., Endres, J. L., Byrne, B. M., Liu, S., Bayles, K. W., & Oakley, G. G. (2016) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkw340 · Cited by 34 · see citing works
Posttranslational insertion of small membrane proteins by the bacterial signal recognition particle.
Steinberg, R., Origi, A., Natriashvili, A., Sarmah, P., Licheva, M., Walker, P. M., Kraft, C., High, S., Luirink, J., Shi, W. Q., et al. (2020) · PLOS Biology · doi:10.1371/journal.pbio.3000874 · Cited by 34 · see citing works
High-resolution crystal structures of Escherichia coli FtsZ bound to GDP and GTP
Schumacher, M. A., Ohashi, T., Goodman, L. C. C., & Erickson, H. (2020) · Acta Crystallographica Section F Structural Biology Communications · doi:10.1107/s2053230x20001132 · Cited by 32 · see citing works
Small-molecule tools for dissecting the roles of SSB/protein interactions in genome maintenance
Lü, D., Bernstein, D. A., Satyshur, K. A., & Keck, J. L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909191107 · Cited by 31 · see citing works
Voter, A. F., Killoran, M. P., Ananiev, G. E., Wildman, S. A., Hoffmann, F. M., & Keck, J. L. (2017) · SLAS DISCOVERY · doi:10.1177/2472555217712001 · Cited by 31 · see citing works
Hall, J. G., & Frieden, C. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.9.3060 · Cited by 26 · see citing works
High-throughput identification of dominant negative polypeptides in yeast
Dorrity, M. W., Queitsch, C., & Fields, S. (2019) · Nature Methods · doi:10.1038/s41592-019-0368-0 · Cited by 22 · see citing works
Self-citationFord, K. M., Panwala, R., Chen, D.-H., Portell, A. J., Palmer, N. D., & Mali, P. (2021) · Cell Systems · doi:10.1016/j.cels.2021.05.002 · Cited by 18 · see citing works
A monoclonal antibody that inhibits mycobacterial DNA gyrase by a novel mechanism
Manjunatha, U. H. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki622 · Cited by 18 · see citing works
Dominant negative inhibition by fragments of a monomeric enzyme
Michaels, J.-E. A., SCHIMMEL, P. R., Shiba, K., & Miller, W. T. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.25.14452 · Cited by 18 · see citing works
Kennedy, J. D., & Fjeldså, J. (2020) · Science · doi:10.1126/science.aba3798 · Cited by 12 · see citing works
Savinov, A., & Roth, F. P. (2021) · Cell Systems · doi:10.1016/j.cels.2021.06.003 · Cited by 5 · see citing works
Self-citation
Flagged first, then by citations
1 of the 59 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
BoltzGen: Toward Universal Binder DesignPreprint
Stark, H., Faltings, F., Choi, M., Xie, Y., Hur, E., O’Donnell, T. J., Bushuiev, A., Uçar, T., Passaro, S., Mao, W., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.20.689494 · Cited by 114 · see citing works
Self-citationHigh-throughput discovery of inhibitory protein fragments with AlphaFold
Savinov, A., Swanson, S., Keating, A. E., & Li, G.-W. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2322412122 · Cited by 18 · see citing works
Self-citationPotential Self-Peptide Inhibitors of the SARS-CoV-2 Main Protease
Banerjee, A., & Gosavi, S. (2023) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.2c05917 · Cited by 5 · see citing works
Lim, Y., Kang, T. K., Kim, M. I., Kim, D., Kim, J. Y., Jung, S. H., Park, K., Lee, W., & Seo, M. (2024) · Advanced Science · doi:10.1002/advs.202406018 · Cited by 4 · see citing works
Bergasa-Caceres, F., & RABITZ, H. A. (2024) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.3c07519 · Cited by 2 · see citing works
Miyan, J., Kumar, N., Moinuddin, Malik, S. A., Akif, U. M., Hameed, R., Riyazuddin, M., Dubey, P., Lal, J., Kumar, A., et al. (2025) · Oncogene · doi:10.1038/s41388-025-03516-8 · Cited by 1 · see citing works
AI-discovered protein fragments as generalizable regulators of biomolecular condensatesPreprint
Savinov, A., Sadasivan, J., White, K. J., Rubien, J. D., Li, G., & Case, L. B. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.08.723928 · Cited by 1 · see citing works
Self-citationArdila, N., Guzmán, F., Suárez-Barrera, M. O., & Cruz, J. (2026) · Cancers · doi:10.3390/cancers18030451
- Authors
- Savinov, A., Fernandez, A., & Fields, S.
- Affiliations
- University of Washington (US)
- Corresponding author
- Fields, Stanley
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2022-06-24
- Volume
- 119
- Issue
- 26
- Pages
- e2200124119-e2200124119
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC9245647
- OpenAlex
- W4283364868
- Cited by
- 8
- References
- 59
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 2 · 2023: 1
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- HHS | National Institutes of Health (F32 GM134557, RM1 HG010461, P41 GM103533)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- dominant negative inhibition, protein fragments, Escherichia coli, protein interaction sites, peptide inhibitors, fragment size, protein-protein interaction
- MeSH terms
- Bacterial Proteins, Escherichia coli, Peptide Fragments, Protein Structure, Secondary, Protein Folding, Protein Interaction Mapping
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review