Predicting Secretory Proteins with SignalP.
By Henrik Nielsen. Methods in molecular biology, 2017
820 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/07d4209037cdaec22d986baa088a8e0d6f7d77e9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Ivica Letunic
- Peer Bork
- Huaiyu Mi
- Paul D. Thomas
- Patricia C. Babbitt
- Granger G. Sutton
- Robert D. Finn
- Julian Gough
In Molecular Biology
- Robert D. Finn
- Peer Bork
- Paul D. Thomas
- Ivica Letunic
- Huaiyu Mi
- Alex Bateman
- Sean R. Eddy
- Aron Marchler-Bauer
Citations in the corpus
- InterPro in 2019: improving coverage, classification and access to protein sequence annotations (2018, methodology): “…about sequence features, such as consensus annotation of long-range intrinsic disorder (provided by MobiDB-lite, a derivative of the MobiDB database (15)) and prediction of signal peptides, transmembrane regions and coiled-coils, via the SignalP, Phobius, TMHMM and Coils software packages (16–19).”
- The InterPro protein families and domains database: 20 years on (2020, background): “InterPro also offers additional annotations on sequence features such as intrinsic protein disorder regions (provided by MobiDB-lite, part of the MobiDB database (13)), and signal peptides, transmembrane regions and coiled-coils (provided by Coils (14), Phobius (15), SignalP (16) and TMHMM (17)).”
- InterPro: the protein sequence classification resource in 2025 (2024, neutral): “…about sequence features, including consensus annotations of long-range intrinsic disorder regions predicted by MobiDB-lite ( 15 ), and predictions of signal peptides, transmembrane regions and coiled-coils using the SignalP ( 16 ), Phobius ( 17 ), TMHMM ( 18 ) and Coils ( 19 ) software packages.”