The DOI matches its Crossref record.
The PIR-International Protein Sequence Database
Abstract
The Protein Information Resource (PIR; http://wwwnbrf.georgetown.edu/pir/) supports research on molecular evolution, functional genomics, and computational biology by maintaining a comprehensive, non-redundant, well-organized and freely available protein sequence database. Since 1988 the database has been maintained collaboratively by PIR-International, an international association of data collection centers cooperating to develop this resource during a period of explosive growth in new sequence data and new computer technologies. The PIR Protein Sequence Database entries are classified into superfamilies, families and homology domains, for which sequence alignments are available. Full-scale family classification supports comparative genomics research, aids sequence annotation, assists database organization and improves database integrity. The PIR WWW server supports direct on-line sequence similarity searches, information retrieval, and knowledge discovery by providing the Protein Sequence Database and other supplementary databases. Sequence entries are extensively cross-referenced and hypertext-linked to major nucleic acid, literature, genome, structure, sequence alignment and family databases. The weekly release of the Protein Sequence Database can be accessed through the PIR Web site. The quarterly release of the database is freely available from our anonymous FTP server and is also available on CD-ROM with the accompanying ATLAS database search program.
Overview
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Citations
Cited by
SGD: Saccharomyces Genome Database
Cherry, J. (1998) · Nucleic Acids Research · doi:10.1093/nar/26.1.73 · Cited by 1,159
DIP: the Database of Interacting Proteins
Xenarios, I. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.289 · Cited by 1,123
Flexible Sequence Similarity Searching with the FASTA3 Program Package
Pearson, W. R. (2003) · Bioinformatics Methods and Protocols · doi:10.1385/1-59259-192-2:185 · Cited by 600
Siddiqui, A. S., Khattra, J., Delaney, A. D., Zhao, Y., Astell, C., Asano, J., Babakaiff, R., Barber, S., Beland, J., Bohacec, S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509455102 · Cited by 116
Revisiting Iodination Sites in Thyroglobulin with an Organ-oriented Shotgun Strategy
Dedieu, A., Gaillard, J.-C., Pourcher, T., Darrouzet, E., & Armengaud, J. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.159483 · Cited by 53
Metadata
- Authors
- Barker, W. C., Garavelli, J. S., McGarvey, P. B., Marzec, C. R., Orcutt, B. C., Srinivasarao, G. Y., Yeh, L.-S. L., Ledley, R. S., Mewes, H.-W., Pfeiffer, F., Tsugita, A., & Wu, C.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-01-01
- Volume
- 27
- Issue
- 1
- Pages
- 39-43
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W4213208922
- Cited by
- 244
- References
- 0
- FWCI
- 9.24
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: The PIR-International Protein Sequence Database. https://app.cochat.ai/papers/10.1093/nar/27.1.39
- The paper
- Barker, W. C., Garavelli, J. S., McGarvey, P. B., Marzec, C. R., Orcutt, B. C., Srinivasarao, G. Y., Yeh, L.-S. L., Ledley, R. S., Mewes, H.-W., Pfeiffer, F., Tsugita, A., & Wu, C. (1999). The PIR-International Protein Sequence Database. Nucleic Acids Research. https://doi.org/10.1093/nar/27.1.39
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.
