The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Using PSORT II, a program for predicting protein subcellular localization sites22, no putative NLS was identified in CRBN; however, CRBN was predicated to be nuclear using both PSORT II and PredictNLS.”
From Genome-wide screening reveals a role for subcellular localization of CRBN in the anti-myeloma activity of pomalidomide (2020) · cites this paper as [22]
In the citing paper
“Using PSORT II, a program for predicting protein subcellular localization sites22, no putative NLS was identified in CRBN; however, CRBN was predicated to be nuclear using both PSORT II and PredictNLS.”
From Genome-wide screening reveals a role for subcellular localization of CRBN in the anti-myeloma activity of pomalidomide (2020) · cites this paper as [22]
Citations
Cites
A new method for predicting signal sequence cleavage sites
von HEIJNE, G. (1986) · Nucleic Acids Research · doi:10.1093/nar/14.11.4683 · Cited by 4,473
Predicting coiled coils from protein sequences.
Lupas, A., Van Dyke, M., & Stock, J. (1991) · Science · doi:10.1126/science.252.5009.1162 · Cited by 3,953
The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1998
Bairoch, A. (1998) · Nucleic Acids Research · doi:10.1093/nar/26.1.38 · Cited by 3,275
The PROSITE database, its status in 1995
Bairoch, A., Bücher, P., & Hofmann, K. (1996) · Nucleic Acids Research · doi:10.1093/nar/24.1.189 · Cited by 1,916
A knowledge base for predicting protein localization sites in eukaryotic cells
Nakai, K., & Kanehisa, M. I. (1992) · Genomics · doi:10.1016/s0888-7543(05)80111-9 · Cited by 1,512
Self-citationThe detection and classification of membrane-spanning proteins
Klein, P., Kanehisa, M. I., & DeLisi, C. (1985) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/0005-2736(85)90375-x · Cited by 841
Expert system for predicting protein localization sites in gram‐negative bacteria
Nakai, K., & Kanehisa, M. I. (1991) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.340110203 · Cited by 756
Self-citationUsing neural networks for prediction of the subcellular location of proteins
Reinhardt, A. (1998) · Nucleic Acids Research · doi:10.1093/nar/26.9.2230 · Cited by 597
Predicting the orientation of eukaryotic membrane-spanning proteins.
Hartmann, E., Rapoport, T. A., & Lodish, H. F. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.15.5786 · Cited by 581
Relation between amino acid composition and cellular location of proteins 1 1Edited by F. E. Cohen
Cedano, J. A., Aloy, P., Perez-Pons, J. A., & Querol, E. (1997) · Journal of Molecular Biology · doi:10.1006/jmbi.1996.0804 · Cited by 397
Cleavage-site motifs in mitochondrial targeting peptides
Gavel, Y., & von HEIJNE, G. (1990) · Protein Engineering Design and Selection · doi:10.1093/protein/4.1.33 · Cited by 327
Prediction of N-terminal protein sorting signals
Claros, M. G., Brunak, S., & von HEIJNE, G. (1997) · Current Opinion in Structural Biology · doi:10.1016/s0959-440x(97)80057-7 · Cited by 122
YPD-A database for the proteins of Saccharomyces cerevisiae
Garrels, J. I. (1996) · Nucleic Acids Research · doi:10.1093/nar/24.1.46 · Cited by 60
Research works printed but not linked: 4
- Horton, 1996, Intelligent Systems for Molecular Biology, 4, 109
- Horton, 1997, Intelligent Systems for Molecular Biology, 5, 147
- Nakai, K.(1996) in Genome Informatics 1996 (Vol. 7) (Akutsu, T. et al.., eds), pp. 72-81, Universal Academy Press
- Bairoch, 1997, Nucleic Acids Res., 25, 217, 10.1093/nar/25.1.217 · DOI
Cited by
Sorted by citations
Improved Prediction of Signal Peptides: SignalP 3.0
Dyrløv Bendtsen, J., Nielsen, H., von Heijne, G., & Brunak, S. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.05.028 · Cited by 6,350
The hormone resistin links obesity to diabetes
Steppan, C. M., Bailey, S. T., Bhat, S., Brown, E. J., Banerjee, R. R., Wright, C. M., Patel, H. R., Ahima, R. S., & Lazar, M. A. (2001) · Nature · doi:10.1038/35053000 · Cited by 4,755
“A notable feature of the deduced amino-acid sequence of resistin is a hydrophobic amino terminus that is predicted by the Prosor”
BackgroundWoLF PSORT: protein localization predictor
Horton, P., Park, K., Obayashi, T., Fujita, N., Harada, H., Adams-Collier, C. J., & Nakai, K. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm259 · Cited by 4,154
“WoLF PSORT is an extension of PSORT II (13, 14 ) and also uses the PSORT (15) localization features for prediction.”
Self-citationSequence and structure-based prediction of eukaryotic protein phosphorylation sites
Blom, N., Gammeltoft, S., & Brunak, S. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.3310 · Cited by 3,212
Complete genome sequence of Salmonella enterica serovar Typhimurium LT2
McClelland, M., Sanderson, K. E., Spieth, J., Clifton, S. W., Latreille, P., Courtney, L., Porwollik, S., Ali, J., Dante, M., Du, F., et al. (2001) · Nature · doi:10.1038/35101614 · Cited by 1,838
Metadata
- Authors
- Nakai, K., & Horton, P.
- Affiliations
- The University of Osaka (JP)
- Corresponding author
- Nakai, Kenta
- Venue
- Trends in Biochemical Sciences
- Publisher
- Elsevier BV
- Published
- 1999-01
- Volume
- 24
- Issue
- 1
- Pages
- 34-35
- ISSN
- 0968-0004 (ISSN-L)
- OpenAlex
- W2006211612
- Cited by
- 2,181
- References
- 13
- Citations by year
- 2026: 25 · 2025: 26 · 2024: 43 · 2023: 33 · 2022: 23 · 2021: 31 · 2020: 36 · 2019: 53 · 2018: 59 · 2017: 46 · 2016: 59 · 2015: 69 · 2014: 76 · 2013: 89 · 2012: 105
- FWCI
- 27.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Biochemical Sciences (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Education, Culture, Sports, Science and Technology
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- protein sorting signals, subcellular localization prediction, protein localization, signal peptide, amino acid composition, protein function prediction
- MeSH terms
- Algorithms, Proteins, Software, Subcellular Fractions, Protein Sorting Signals
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