Literature DB >> 9847149

Grasping at molecular interactions and genetic networks in Drosophila melanogaster using FlyNets, an Internet database.

C Sanchez1, C Lachaize, F Janody, B Bellon, L Röder, J Euzenat, F Rechenmann, B Jacq.   

Abstract

FlyNets (http://gifts.univ-mrs.fr/FlyNets/FlyNets_home_page.++ +html) is a WWW database describing molecular interactions (protein-DNA, protein-RNA and protein-protein) in the fly Drosophila melanogaster. It is composed of two parts, as follows. (i) FlyNets-base is a specialized database which focuses on molecular interactions involved in Drosophila development. The information content of FlyNets-base is distributed among several specific lines arranged according to a GenBank-like format and grouped into five thematic zones to improve human readability. The FlyNets database achieves a high level of integration with other databases such as FlyBase, EMBL, GenBank and SWISS-PROT through numerous hyperlinks. (ii) FlyNets-list is a very simple and more general databank, the long-term goal of which is to report on any published molecular interaction occuring in the fly, giving direct web access to corresponding s in Medline and in FlyBase. In the context of genome projects, databases describing molecular interactions and genetic networks will provide a link at the functional level between the genome, the proteome and the transcriptome worlds of different organisms. Interaction databases therefore aim at describing the contents, structure, function and behaviour of what we herein define as the interactome world.

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Year:  1999        PMID: 9847149      PMCID: PMC148104          DOI: 10.1093/nar/27.1.89

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


  34 in total

1.  DIP: the database of interacting proteins.

Authors:  I Xenarios; D W Rice; L Salwinski; M K Baron; E M Marcotte; D Eisenberg
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Genetic screens for factors involved in the notum bristle loss of interspecific hybrids between Drosophila melanogaster and D. simulans.

Authors:  T Takano-Shimizu
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

Review 3.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

Review 4.  Recent Trends in System-Scale Integrative Approaches for Discovering Protective Antigens Against Mycobacterial Pathogens.

Authors:  Aarti Rana; Shweta Thakur; Girish Kumar; Yusuf Akhter
Journal:  Front Genet       Date:  2018-11-27       Impact factor: 4.599

5.  Expanding the proteome: disordered and alternatively folded proteins.

Authors:  H Jane Dyson
Journal:  Q Rev Biophys       Date:  2011-07-01       Impact factor: 5.318

6.  pyDockSAXS: protein-protein complex structure by SAXS and computational docking.

Authors:  Brian Jiménez-García; Carles Pons; Dmitri I Svergun; Pau Bernadó; Juan Fernández-Recio
Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

7.  Testing the concept of the interatomic status of the NFE2L2/AP1 pathway as a systemic biomarker for examination stress.

Authors:  Petr V Zolotukhin; Anastasiya D Dovzhik; Uliya A Lebedeva; Oxana N Kuzminova; Elena V Mashkina; Anzhela A Aleksandrova; Tatyana P Shkurat
Journal:  Mol Diagn Ther       Date:  2014-06       Impact factor: 4.074

8.  Getting a grip on complexes.

Authors:  Yan Nie; Cristina Viola; Christoph Bieniossek; Simon Trowitzsch; Lakshmi Sumitra Vijay-Achandran; Maxime Chaillet; Frederic Garzoni; Imre Berger
Journal:  Curr Genomics       Date:  2009-12       Impact factor: 2.236

9.  Protein Bioinformatics Infrastructure for the Integration and Analysis of Multiple High-Throughput "omics" Data.

Authors:  Chuming Chen; Peter B McGarvey; Hongzhan Huang; Cathy H Wu
Journal:  Adv Bioinformatics       Date:  2010-03-29

10.  Ontology-based Vaccine and Drug Adverse Event Representation and Theory-guided Systematic Causal Network Analysis toward Integrative Pharmacovigilance Research.

Authors:  Yongqun He
Journal:  Curr Pharmacol Rep       Date:  2016-03-11
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