The DOI matches its OpenAlex record; 6 of the 6 references it cites were found in a registry or an index.
SignalP 6.0 predicts all five types of signal peptides using protein language models
Open accessOverview
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
Verification
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.
Citations
Cites
Needleman, S. B., & Wunsch, C. D. (1970) · Journal of Molecular Biology · doi:10.1016/0022-2836(70)90057-4 · Cited by 11,288
Comparison of the predicted and observed secondary structure of T4 phage lysozyme
Matthews, B. W. (1975) · Biochimica et Biophysica Acta (BBA) - Protein Structure · doi:10.1016/0005-2795(75)90109-9 · Cited by 5,399
Rives, A., Meier, J., Sercu, T., Goyal, S., Lin, Z., Liu, J., Guo, D., Ott, M., Zitnick, C. L., Ma, J., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2016239118 · Cited by 3,286
Rives, A., Meier, J., Sercu, T., Goyal, S., Lin, Z., Liu, J., Guo, D., Ott, M., Zitnick, C. L., Ma, J., et al. (2019) · doi:10.1101/622803 · Cited by 3,280
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning
Elnaggar, A., Heinzinger, M., Dallago, C., Rehawi, G., Wang, Y., Jones, L., Gibbs, T., Feher, T., Angerer, C., Steinegger, M., et al. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3095381 · Cited by 2,329
Unified rational protein engineering with sequence-based deep representation learning
Alley, E. C., Khimulya, G., Biswas, S., AlQuraishi, M., & Church, G. M. (2019) · Nature Methods · doi:10.1038/s41592-019-0598-1 · Cited by 1,131
Cited by
Bilingual language model for protein sequence and structure
Heinzinger, M., Weissenow, K., Sanchez, J. G., Henkel, A., Mirdita, M., Steinegger, M., & Rost, B. (2024) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqae150 · Cited by 311
DeepLoc 2.1: multi-label membrane protein type prediction using protein language models
Ødum, M. T., Teufel, F., Thumuluri, V., Almagro Armenteros, J. J., Johansen, A. R., Winther, O., & Nielsen, H. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae237 · Cited by 285
Self-citationFine-tuning protein language models boosts predictions across diverse tasks
Schmirler, R., Heinzinger, M., & Rost, B. (2024) · Nature Communications · doi:10.1038/s41467-024-51844-2 · Cited by 229
Novel machine learning approaches revolutionize protein knowledge
Bordin, N., Dallago, C., Heinzinger, M., Kim, S., Littmann, M., Rauer, C., Steinegger, M., Rost, B., & Orengo, C. (2023) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2022.11.001 · Cited by 72
Sugihara, Y., Abe, Y., Takagi, H., Abe, A., Shimizu, M., Ito, K., Kanzaki, E., Oikawa, K., Kourelis, J., Langner, T., et al. (2023) · PLOS Biology · doi:10.1371/journal.pbio.3001945 · Cited by 59
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
Li, F.-Z., Amini, A. P., Yue, Y., Yang, K. K., & Lu, A. X. (2024) · doi:10.1101/2024.02.05.578959 · Cited by 51
Engineering Microbial Consortia as Living Materials: Advances and Prospectives
Wang, S., Zhan, Y., Jiang, X., & Lai, Y. (2024) · ACS Synthetic Biology · doi:10.1021/acssynbio.4c00313 · Cited by 50
Kiousi, D. E., Efstathiou, C., Tzampazlis, V., Plessas, S., Panopoulou, M., Koffa, M., & Galanis, A. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1127256 · Cited by 41
TransPTM: a transformer-based model for non-histone acetylation site prediction
Meng, L., Chen, X., Cheng, K., Chen, N., Zheng, Z., Wang, F., Sun, H., & Wong, K.-C. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae219 · Cited by 31
Bacterial cell volume regulation and the importance of cyclic di-AMP
Foster, A. J., van den Noort, M., & Poolman, B. (2024) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00181-23 · Cited by 26
Molecular profiling of sponge deflation reveals an ancient relaxant-inflammatory response
Ruperti, F., Becher, I., Stokkermans, A., Wang, L., Marschlich, N., Potel, C., Maus, E., Stein, F., Drotleff, B., Schippers, K. J., et al. (2024) · Current Biology · doi:10.1016/j.cub.2023.12.021 · Cited by 23
Chia, M., Ng, A. H. Q., Ravikrishnan, A., Mohamed Naim, A. N., Wearne, S., Common, J., & Nagarajan, N. (2026) · Nature Biotechnology · doi:10.1038/s41587-025-02797-4 · Cited by 18
Li, Y.-F., Pan, X., & Shen, H.-B. (2025) · Patterns · doi:10.1016/j.patter.2025.101262 · Cited by 18
A cytoplasmic chemoreceptor and reactive oxygen species mediate bacterial chemotaxis to copper
Louis, G., Cherry, P., Michaux, C., Rahuel-Clermont, S., Dieu, M., Tilquin, F., Maertens, L., Van Houdt, R., Renard, P., Perpete, E., et al. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2023.105207 · Cited by 17
Comparative Structure Analysis of the Multi-Domain, Cell Envelope Proteases of Lactic Acid Bacteria
Christensen, L. F., Høie, M. H., Bang-Berthelsen, C. H., Marcatili, P., & Hansen, E. B. (2023) · Microorganisms · doi:10.3390/microorganisms11092256 · Cited by 17
cazy_webscraper: local compilation and interrogation of comprehensive CAZyme datasets
Hobbs, E. E. M., Gloster, T. M., & Pritchard, L. (2023) · Microbial Genomics · doi:10.1099/mgen.0.001086 · Cited by 15
Grossman, A. S., Lei, L., Botting, J. M., Liu, J., Nahar, N., Liu, J., McLean, J. S., He, X., & Bor, B. (2025) · The ISME Journal · doi:10.1093/ismejo/wraf119 · Cited by 14
Li, W., Huang, B., Guo, M., Zeng, Z., Cai, T., Feng, L., Zhang, X., Guo, L., Jiang, X., Yin, Y., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115773 · Cited by 13
High-affinity PQQ import is widespread in Gram-negative bacteria
Munder, F., Voutsinos, M., Hantke, K., Venugopal, H., & Grinter, R. (2025) · Science Advances · doi:10.1126/sciadv.adr2753 · Cited by 12
Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning
Dong, R., Cao, Q., & Song, C. (2025) · Advanced Science · doi:10.1002/advs.202506332 · Cited by 11
Attah, V., Milner, D. S., Fang, Y., Yan, X., Leonard, G., Heitman, J., Talbot, N. J., & Richards, T. A. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2218927121 · Cited by 11
Lieberman, N. A. P., Armstrong, T. D., Chung, B., Pfalmer, D., Hennelly, C. M., Haynes, A., Romeis, E., Wang, Q.-Q., Zhang, R.-L., Kou, C.-X., et al. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1007056 · Cited by 10
The Origin and Evolution of Sex Peptide and Sex Peptide Receptor Interactions
Peng, J., Svetec, N., Molina, H., & Zhao, L. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae065 · Cited by 9
Karlin, D. G. (2024) · Journal of General Virology · doi:10.1099/jgv.0.001948 · Cited by 8
Badten, A. J., & Torres, A. G. (2024) · Vaccines · doi:10.3390/vaccines12030313 · Cited by 8
Hayashi, R., Kamata, K., Gerdol, M., Fujii, Y., Hayashi, T., Onoda, Y., Kobayashi, N., Furushima, S., Ishiwata, R., Ohkawa, M., et al. (2024) · Marine Drugs · doi:10.3390/md22090400 · Cited by 7
Involvement of ArlI, ArlJ, and CirA in archaeal type IV pilin-mediated motility regulation
Chatterjee, P., Garcia, M. A., Cote, J. A., Yun, K., Legerme, G. P., Habib, R., Tripepi, M., Young, C., Kulp, D., Dyall-Smith, M., et al. (2024) · Journal of Bacteriology · doi:10.1128/jb.00089-24 · Cited by 7
Lamm, G. H. U., Marin, E., Alekseev, A., Schellbach, A. V., Stetsenko, A., Haro-Moreno, J. M., Bourenkov, G., Borshchevskiy, V., Asido, M., Agthe, M., et al. (2025) · Science Advances · doi:10.1126/sciadv.adv1015 · Cited by 7
Proteomics identifies substrates and a novel component in hSnd2-dependent ER protein targeting
Tirincsi, A., O’Keefe, S., Nguyen, D., Sicking, M., Dudek, J., Förster, F., Jung, M., Hadzibeganovic, D., Helms, V., High, S., et al. (2022) · doi:10.1101/2022.04.27.489649 · Cited by 7
Holst, J. D., Murphy, L. G., Gorman, M. J., & Ragan, E. J. (2023) · PLOS ONE · doi:10.1371/journal.pone.0291564 · Cited by 6
Biophysical characterization of high-confidence, small human proteins
Whited, A. M., Jungreis, I., Allen, J., Cleveland, C. L., Mudge, J. M., Kellis, M., Rinn, J. L., & Hough, L. E. (2024) · Biophysical Reports · doi:10.1016/j.bpr.2024.100167 · Cited by 5
Evolution and phylogenetic distribution of endo -α-mannosidase
Sobala, Ł. F. (2023) · Glycobiology · doi:10.1093/glycob/cwad041 · Cited by 5
TMVisDB: Annotation and 3D-visualization of Transmembrane Proteins
Olenyi, T., Marquet, C., Grekova, A., Houri, L., Heinzinger, M., Dallago, C., & Rost, B. (2025) · Journal of Molecular Biology · doi:10.1016/j.jmb.2025.168997 · Cited by 4
Montaño‐Silva, P., Callejas‐Negrete, O. A., Pereira‐Santana, A., & Verdín, J. (2025) · The FEBS Journal · doi:10.1111/febs.70020 · Cited by 3
Kamaguchi, R., Amemori, S., Amemori, K.-I., & Osakada, F. (2025) · Neuroscience Research · doi:10.1016/j.neures.2025.02.007 · Cited by 2
Volkening, J. D., Spatz, S. J., Garcia, M., Ross, T. A., Maekawa, D. A., Rosenthal, K. S., Zamora, A. C., Skipper, A., Blakey, J. R., & Paudel, R. (2025) · PLOS Pathogens · doi:10.1371/journal.ppat.1013219 · Cited by 1
Metadata
- Authors
- Teufel, F., Armenteros, J. J. A., Johansen, A. R., Gíslason, M. H., Pihl, S. I., Tsirigos, K. D., Winther, O., Brunak, S., von HEIJNE, G., & Nielsen, H.
- Venue
- Repository for Publications and Research Data (ETH Zurich)
- Publisher
- ETH Zurich
- Published
- 2022-07-01
- OpenAlex
- W4206950245
- Cited by
- 1,905
- References
- 6
- FWCI
- 131.13
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.