Literature DB >> 10592231

FIMM, a database of functional molecular immunology.

C Schönbach1, J L Koh, X Sheng, L Wong, V Brusic.   

Abstract

FIMM database (http://sdmc.krdl.org.sg:8080/fimm ) contains data relevant to functional molecular immunology, focusing on cellular immunology. It contains fully referenced data on protein antigens, major histocompatibility complex (MHC) molecules, MHC-associated peptides and relevant disease associations. FIMM has a set of search tools for extraction of information and results are presented as lists or as reports.

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Year:  2000        PMID： 10592231      PMCID： PMC102489          DOI： 10.1093/nar/28.1.222

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN： 0305-1048            Impact factor:   16.971


  13 in total

1.  Nomenclature for factors of the HLA System, 1998.

Authors:  J G Bodmer; S G Marsh; E D Albert; W F Bodmer; R E Bontrop; B Dupont; H A Erlich; J A Hansen; B Mach; W R Mayr; P Parham; E W Petersdorf; T Sasazuki; G M Schreuder; J L Strominger; A Svejgaard; P I Terasaki
Journal:  Hum Immunol       Date:  1999-04       Impact factor: 2.850

2.  Analysis of polymorphism in porcine MHC class I genes: alterations in signals recognized by human cytotoxic lymphocytes.

Authors:  J A Sullivan; H F Oettinger; D H Sachs; A S Edge
Journal:  J Immunol       Date:  1997-09-01       Impact factor: 5.422

3.  IMGT, the international ImMunoGeneTics database.

Authors:  M P Lefranc; V Giudicelli; C Ginestoux; J Bodmer; W Müller; R Bontrop; M Lemaitre; A Malik; V Barbié; D Chaume
Journal:  Nucleic Acids Res       Date:  1999-01-01       Impact factor: 16.971

4.  GeneCards: a novel functional genomics compendium with automated data mining and query reformulation support.

Authors:  M Rebhan; V Chalifa-Caspi; J Prilusky; D Lancet
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

Review 5.  Genatlas database, genes and development defects.

Authors:  J Frézal
Journal:  C R Acad Sci III       Date:  1998-10

6.  MView: a web-compatible database search or multiple alignment viewer.

Authors:  N P Brown; C Leroy; C Sander
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

7.  Local alignment statistics.

Authors:  S F Altschul; W Gish
Journal:  Methods Enzymol       Date:  1996       Impact factor: 1.600

Review 8.  Invited anniversary review: HLA associated diseases.

Authors:  E Thorsby
Journal:  Hum Immunol       Date:  1997-03       Impact factor: 2.850

Review 9.  MHC ligands and peptide motifs: first listing.

Authors:  H G Rammensee; T Friede; S Stevanoviíc
Journal:  Immunogenetics       Date:  1995       Impact factor: 2.846

10.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.

Authors:  J D Thompson; D G Higgins; T J Gibson
Journal:  Nucleic Acids Res       Date:  1994-11-11       Impact factor: 16.971
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  13 in total

1.  FIMM, a database of functional molecular immunology: update 2002.

Authors:  Christian Schönbach; Judice L Y Koh; Darren R Flower; Limsoon Wong; Vladimir Brusic
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  A comparative molecular similarity index analysis (CoMSIA) study identifies an HLA-A2 binding supermotif.

Authors:  Irini A Doytchinova; Darren R Flower
Journal:  J Comput Aided Mol Des       Date:  2002 Aug-Sep       Impact factor: 3.686

3.  Peptide binding predictions for HLA DR, DP and DQ molecules.

Authors:  Peng Wang; John Sidney; Yohan Kim; Alessandro Sette; Ole Lund; Morten Nielsen; Bjoern Peters
Journal:  BMC Bioinformatics       Date:  2010-11-22       Impact factor: 3.169

4.  Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution.

Authors:  Limin Jiang; Hui Yu; Jiawei Li; Jijun Tang; Yan Guo; Fei Guo
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 13.994

5.  Curation of complex, context-dependent immunological data.

Authors:  Randi Vita; Kerrie Vaughan; Laura Zarebski; Nima Salimi; Ward Fleri; Howard Grey; Muthu Sathiamurthy; John Mokili; Huynh-Hoa Bui; Philip E Bourne; Julia Ponomarenko; Romulo de Castro; Russell K Chan; John Sidney; Stephen S Wilson; Scott Stewart; Scott Way; Bjoern Peters; Alessandro Sette
Journal:  BMC Bioinformatics       Date:  2006-07-12       Impact factor: 3.169

6.  Prediction of antigenic epitopes on protein surfaces by consensus scoring.

Authors:  Shide Liang; Dandan Zheng; Chi Zhang; Martin Zacharias
Journal:  BMC Bioinformatics       Date:  2009-09-22       Impact factor: 3.169

7.  SVMTriP: a method to predict antigenic epitopes using support vector machine to integrate tri-peptide similarity and propensity.

Authors:  Bo Yao; Lin Zhang; Shide Liang; Chi Zhang
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

Review 8.  T-cell epitope vaccine design by immunoinformatics.

Authors:  Atanas Patronov; Irini Doytchinova
Journal:  Open Biol       Date:  2013-01-08       Impact factor: 6.411

9.  A systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approach.

Authors:  Peng Wang; John Sidney; Courtney Dow; Bianca Mothé; Alessandro Sette; Bjoern Peters
Journal:  PLoS Comput Biol       Date:  2008-04-04       Impact factor: 4.475

10.  Prediction of functional class of proteins and peptides irrespective of sequence homology by support vector machines.

Authors:  Zhi Qun Tang; Hong Huang Lin; Hai Lei Zhang; Lian Yi Han; Xin Chen; Yu Zong Chen
Journal:  Bioinform Biol Insights       Date:  2009-11-24
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