The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
IMGT standardized criteria for statistical analysis of immunoglobulin V‐REGION amino acid properties
Abstract
IMGT, the international ImMunoGeneTics information system® (http://imgt.cines.fr) is a high‐quality integrated information system specializing in immunoglobulins (IG), T cell receptors (TR) and major histocompatibility complex (MHC) of human and other vertebrates. IMGT comprises IMGT/LIGM‐DB, the comprehensive database of IG and TR sequences from human and other vertebrates (76 846 sequences in September 2003). In order to define the IMGT criteria necessary for standardized statistical analyses, the sequences of the IG variable regions (V‐REGIONs) from productively rearranged human IG heavy (IGH) and IG light kappa (IGK) and lambda (IGL) chains were extracted from IMGT/LIGM‐DB. The framework amino acid positions of 2474 V‐REGIONs (1360 IGHV, 585 IGKV, 529 IGLV) were numbered according to the IMGT unique numbering. Two statistical methods (correspondence analysis and hierarchic classification) were used to analyze the 237 framework positions (80 for IGHV, 79 for IGKV, 78 for IGLV), for three properties (hydropathy, volume and chemical characteristics) of the 20 common amino acids. Results of the analyses are shown as standardized two‐dimensional representations, designated as IMGT Colliers de Perles statistical profiles. They provide a characterization of the amino acid properties at each framework position of the expressed IG V‐REGIONs, and a visualization of the resemblances and differences between heavy and light, and between kappa and lambda sequences. The standardized criteria defined in this paper, amino acid positions and property classes, will be useful to study the mutations and allele polymorphisms, to establish correlations between amino acids in the IG and TR protein three‐dimensional structures and to extract new knowledge from V‐like domains of chains, other than IG and TR, belonging to the immunoglobulin superfamily. Copyright © 2004 John Wiley & Sons, Ltd.
Overview
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 simple method for displaying the hydropathic character of a protein
Kyte, J., & Doolittle, R. F. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90515-0 · Cited by 22,843
Current Protocols in Immunology
(2018) · Current Protocols in Immunology · doi:10.1002/(issn)1934-368x · Cited by 3,566
The Immunoglobulin Superfamily: Domains For Cell Surface Recognition
Williams, A. (1988) · Annual Review of Immunology · doi:10.1146/annurev.immunol.6.1.381 · Cited by 2,254
ADE-4: a multivariate analysis and graphical display software
Thioulouse, J., Chessel, D., Dole´dec, S., & Olivier, J.-M. (1997) · Statistics and Computing · doi:10.1023/a:1018513530268 · Cited by 1,620
IDENTIFYING NONPOLAR TRANSBILAYER HELICES IN AMINO ACID SEQUENCES OF MEMBRANE PROTEINS
Engelman, D. M., Steitz, T. A., & Goldman, A. (1986) · Annual Review of Biophysics and Biophysical Chemistry · doi:10.1146/annurev.bb.15.060186.001541 · Cited by 1,504
Multivariate Descriptive Statistical Analysis.
Lachenbruch, P. A., Lebart, L., Morineau, A., & Warwick, K. M. (1985) · Biometrics · doi:10.2307/2530887 · Cited by 884
IMGT, the international ImMunoGeneTics database
Ruiz, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.219 · Cited by 858
Lefranc, M.-P., Pommié, C., Ruiz, M., Giudicelli, V., Foulquier, E., Truong, L., Thouvenin-Contet, V., & Lefranc, G. (2003) · Developmental & Comparative Immunology · doi:10.1016/s0145-305x(02)00039-3 · Cited by 818
Self-citationLefranc, M.-P., Pommié, C., Kaas, Q., Duprat, E., Bosc, N., Guiraudou, D., Jean, C., Ruiz, M., Da Piédade, I., Rouard, M., et al. (2005) · Developmental & Comparative Immunology · doi:10.1016/j.dci.2004.07.003 · Cited by 807
Self-citationZamyatnin, A. A. (1972) · Progress in Biophysics and Molecular Biology · doi:10.1016/0079-6107(72)90005-3 · Cited by 593
Cited by
IMGT(R), the international ImMunoGeneTics information system(R)
Lefranc, M.-P., Giudicelli, V., Ginestoux, C., Jabado-Michaloud, J., Folch, G., Bellahcene, F., Wu, Y., Gemrot, E., Brochet, X., Lane, J., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn838 · Cited by 1,119
Self-citationAlamyar, E., Duroux, P., Lefranc, M.-P., & Giudicelli, V. (2012) · Methods in Molecular Biology · doi:10.1007/978-1-61779-842-9_32 · Cited by 484
Self-citationAgathangelidis, A., Darzentas, N., Hadzidimitriou, A., Brochet, X., Murray, F., Yan, X.-J., Davis, Z., van Gastel-Mol, E. J., Tresoldi, C., Chu, C. C., et al. (2012) · Blood · doi:10.1182/blood-2011-11-393694 · Cited by 393
Self-citationGiudicelli, V., Brochet, X., & Lefranc, M.-P. (2011) · Cold Spring Harbor Protocols · doi:10.1101/pdb.prot5633 · Cited by 379
Self-citationMurray, F., Darzentas, N., Hadzidimitriou, A., Tobin, G., Boudjogra, M., Scielzo, C., Laoutaris, N., Karlsson, K., Baran-Marzsak, F., Tsaftaris, A., et al. (2008) · Blood · doi:10.1182/blood-2007-07-099564 · Cited by 334
Metadata
- Authors
- Pommié, C., Levadoux, S., Sabatier, R., Lefranc, G., & Lefranc, M.
- Venue
- Journal of Molecular Recognition
- Publisher
- Wiley
- Published
- 2004-01
- Volume
- 17
- Issue
- 1
- Pages
- 17-32
- ISSN
- 0952-3499 (ISSN-L)
- 1099-1352
- OpenAlex
- W2049631297
- Cited by
- 314
- References
- 33
- FWCI
- 8.02
- Type
- journal article
- Language
- en
- Open access
- closed
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: IMGT standardized criteria for statistical analysis of immunoglobulin V‐REGION amino acid properties. https://app.cochat.ai/papers/10.1002/jmr.647
- The paper
- Pommié, C., Levadoux, S., Sabatier, R., Lefranc, G., & Lefranc, M. (2004). IMGT standardized criteria for statistical analysis of immunoglobulin V‐REGION amino acid properties. Journal of Molecular Recognition. https://doi.org/10.1002/jmr.647
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.