The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Predicting Secretory Proteins with SignalP
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
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
SignalP 4.0: discriminating signal peptides from transmembrane regions
Petersen, T. N., Brunak, S., von Heijne, G., & Nielsen, H. (2011) · Nature Methods · doi:10.1038/nmeth.1701 · Cited by 8,847
Self-citationStaphylococcus aureus Sortase, an Enzyme that Anchors Surface Proteins to the Cell Wall
Mazmanian, S. K., Liu, G., Ton-That, H., & Schneewind, O. (1999) · Science · doi:10.1126/science.285.5428.760 · Cited by 1,053
Cited by
The InterPro protein families and domains database: 20 years on
Blum, M., Chang, H.-Y., Chuguransky, S., Grego, T., Kandasaamy, S., Mitchell, A., Nuka, G., Paysan-Lafosse, T., Qureshi, M., Raj, S., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa977 · Cited by 2,231
InterPro in 2019: improving coverage, classification and access to protein sequence annotations
Mitchell, A. L., Attwood, T. K., Babbitt, P. C., Blum, M., Bork, P., Bridge, A., Brown, S. D., Chang, H.-Y., El-Gebali, S., Fraser, M. I., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1100 · Cited by 1,426
(2023) · doi:10.1038/s41467-023-40949-9 · Cited by 57
Cenci, U., Sibbald, S. J., Curtis, B. A., Kamikawa, R., Eme, L., Moog, D., Henrissat, B., Maréchal, E., Chabi, M., Djemiel, C., et al. (2018) · BMC Biology · doi:10.1186/s12915-018-0593-5 · Cited by 53
Recent Progress and Challenges in CRISPR-Cas9 Engineered Algae and Cyanobacteria
Patel, V. K., Das, A., Kumari, R., & Kajla, S. (2023) · Algal Research · doi:10.1016/j.algal.2023.103068 · Cited by 50
Metadata
- Authors
- Nielsen, H.
- Venue
- Methods in Molecular Biology
- Publisher
- Springer New York
- Published
- 2017
- Volume
- 1611
- Pages
- 59-73
- ISSN
- 1064-3745 (ISSN-L)
- 1940-6029
- OpenAlex
- W2609207099
- Cited by
- 934
- References
- 3
- FWCI
- 155.59
- Type
- book chapter
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Predicting Secretory Proteins with SignalP. https://app.cochat.ai/papers/10.1007/978-1-4939-7015-5_6
- The paper
- Nielsen, H. (2017). Predicting Secretory Proteins with SignalP. Methods in Molecular Biology. https://doi.org/10.1007/978-1-4939-7015-5_6
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.
