FB2024_02 , released April 23, 2024
Gene: Dmel\mir-ban
Open Close
General Information
Symbol
Dmel\mir-ban
Species
D. melanogaster
Name
bantam
Annotation Symbol
CR43018
Feature Type
FlyBase ID
FBgn0262451
Gene Model Status
Stock Availability
Gene Summary
a 21 nucleotide microRNA that promotes tissue growth, stimulates cell proliferation and prevents apoptosis - controls of type I and type II central brain neuroblast proliferation (Interactive Fly, mir-ban )
Contribute a Gene Snapshot for this gene.
Also Known As

ban, dme-bantam, EP3208, miR-bantam

Key Links
Genomic Location
Cytogenetic map
Sequence location
Recombination map
3-0.5
RefSeq locus
NT_037436 REGION:642208..642288
Sequence
Genomic Maps
Other Genome Views
The following external sites may use different assemblies or annotations than FlyBase.
Function
Gene Ontology (GO) Annotations (29 terms)
Molecular Function (2 terms)
Biological Process (27 terms)
Terms Based on Experimental Evidence (27 terms)
CV Term
Evidence
References
inferred from direct assay
inferred from mutant phenotype
involved_in eye development
inferred from genetic interaction with FLYBASE:hpo; FB:FBgn0261456
inferred from mutant phenotype
inferred from genetic interaction with FLYBASE:hpo; FB:FBgn0261456
inferred from mutant phenotype
inferred from genetic interaction with FLYBASE:hid; FB:FBgn0003997
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from direct assay
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
Terms Based on Predictions or Assertions (1 term)
CV Term
Evidence
References
inferred from electronic annotation with Rfam:RF00727
Cellular Component (0 terms)
Terms Based on Experimental Evidence (0 terms)
Terms Based on Predictions or Assertions (0 terms)
Gene Group (FlyBase)
Protein Family (UniProt)
-
Protein Signatures (InterPro)
    -
    Summaries
    Pathway (FlyBase)
    Positive Regulators of EGFR Signaling Pathway -
    Positive regulators of Epidermal Growth Factor Receptor signaling up-regulate the pathway, enhancing the activation of ERK kinase (rl) or acting on downstream effectors.
    Negative Regulators of BMP Signaling Pathway -
    Negative regulators of Bone Morphogenetic Protein (BMP) signaling down-regulate the pathway, ultimately resulting in the decreased nuclear activity of the Mad/Med transcription factor complex.
    Positive Regulators of Notch Signaling Pathway -
    The Notch receptor signaling pathway is activated by the binding of the transmembrane receptor Notch (N) to transmembrane ligands, Dl or Ser, presented on adjacent cells. This results in the proteolytic cleavage of N, releasing the intracellular domain (NICD). NICD translocates into the nucleus, interacting with Su(H) and mam to form a transcription complex, which up-regulates transcription of Notch-responsive genes. Positive regulators of the pathway enhance the signal from the sending cell or the response in the receiving cell. (Adapted from FBrf0225731 and FBrf0192604).
    Summary (Interactive Fly)

    a 21 nucleotide microRNA that promotes tissue growth, stimulates cell proliferation and prevents apoptosis - controls of type I and type II central brain neuroblast proliferation

    Gene Model and Products
    Number of Transcripts
    3
    Number of Unique Polypeptides
    0

    Please see the JBrowse view of Dmel\mir-ban for information on other features

    To submit a correction to a gene model please use the Contact FlyBase form

    Protein Domains (via Pfam)
    Isoform displayed:
    Pfam protein domains
    InterPro name
    classification
    start
    end
    Protein Domains (via SMART)
    Isoform displayed:
    SMART protein domains
    InterPro name
    classification
    start
    end
    Structure
    Experimentally Determined Structures
    Crossreferences
    Comments on Gene Model

    Locations and structures of miRNA models as mapped by miRBase (FBrf0220601).

    Conserved: found throughout the Drosophila genus (FBrf0230987).

    Sequence Ontology: Class of Gene
    Transcript Data
    Annotated Transcripts
    Name
    FlyBase ID
    RefSeq ID
    Length (nt)
    FBtr0304469
    23
    FBtr0472739
    23
    FBtr0304468
    81
    Additional Transcript Data and Comments
    Reported size (kB)

    .021 (northern blot, sequence analysis)

    Comments
    External Data
    Crossreferences
    miRBase - A searchable database of published miRNA sequences and annotation.
    Sequences Consistent with the Gene Model
    Mapped Features

    Click to get a list of regulatory features (enhancers, TFBS, etc.) and gene disruptions (point mutations, indels, etc.) within or overlapping Dmel\mir-ban using the Feature Mapper tool.

    External Data
    Crossreferences
    Linkouts
    Expression Data
    Testis-specificity index

    The testis specificity index was calculated from modENCODE tissue expression data by Vedelek et al., 2018 to indicate the degree of testis enrichment compared to other tissues. Scores range from -2.52 (underrepresented) to 5.2 (very high testis bias).

    NA

    Transcript Expression
    northern blot
    Stage
    Tissue/Position (including subcellular localization)
    Reference
    Additional Descriptive Data

    The ban microRNA is detected during all stages of development by northern analysis although level of expression varies with developmental stage. Expression is highest in 12-24 h embryos and 1st instar larvae. An assay employed a ubiquitously expressed GFP sensor protein whose transcript contained ban target sites and caused silencing of the reporter in the regions where ban microRNA is expressed. This assay indicates that ban microRNA is expressed throughout the wing disc but has the highest expression in areas of proliferation. A similar correlation between ban microRNA expression and cell proliferation was observed in the larval brain.

    Marker for
     
    Subcellular Localization
    CV Term
    Polypeptide Expression
    Additional Descriptive Data
    Marker for
     
    Subcellular Localization
    CV Term
    Evidence
    References
    Expression Deduced from Reporters
    High-Throughput Expression Data
    Associated Tools

    JBrowse - Visual display of RNA-Seq signals

    View Dmel\mir-ban in JBrowse
    RNA-Seq by Region - Search RNA-Seq expression levels by exon or genomic region
    Reference
    See Gelbart and Emmert, 2013 for analysis details and data files for all genes.
    Developmental Proteome: Life Cycle
    Developmental Proteome: Embryogenesis
    External Data and Images
    Linkouts
    DRscDB - A single-cell RNA-seq resource for data mining and data comparison across species
    EMBL-EBI Single Cell Expression Atlas - Single cell expression across species
    FlyAtlas2 - A Drosophila melanogaster expression atlas with RNA-Seq, miRNA-Seq and sex-specific data
    Images
    Alleles, Insertions, Transgenic Constructs, and Aberrations
    Classical and Insertion Alleles ( 26 )
    For All Classical and Insertion Alleles Show
     
    Other relevant insertions
    Transgenic Constructs ( 16 )
    For All Alleles Carried on Transgenic Constructs Show
    Transgenic constructs containing/affecting coding region of mir-ban
    Transgenic constructs containing regulatory region of mir-ban
    Aberrations (Deficiencies and Duplications) ( 3 )
    Variants
    Variant Molecular Consequences
    Alleles Representing Disease-Implicated Variants
    Phenotypes
    For more details about a specific phenotype click on the relevant allele symbol.
    Lethality
    Allele
    Sterility
    Allele
    Other Phenotypes
    Allele
    Phenotype manifest in
    Allele
    anterior fascicle & synapse, with Scer\GAL4elav-C155
    Orthologs
    Human Orthologs (via DIOPT v9.1)
    Species\Gene Symbol
    Score
    Best Score
    Best Reverse Score
    Alignment
    Complementation?
    Transgene?
    Homo sapiens (Human) (0)
    Model Organism Orthologs (via DIOPT v9.1)
    Species\Gene Symbol
    Score
    Best Score
    Best Reverse Score
    Alignment
    Complementation?
    Transgene?
    Rattus norvegicus (Norway rat) (0)
    Mus musculus (laboratory mouse) (0)
    Xenopus tropicalis (Western clawed frog) (0)
    Danio rerio (Zebrafish) (0)
    Caenorhabditis elegans (Nematode, roundworm) (0)
    Anopheles gambiae (African malaria mosquito) (0)
    Arabidopsis thaliana (thale-cress) (0)
    Saccharomyces cerevisiae (Brewer's yeast) (0)
    Schizosaccharomyces pombe (Fission yeast) (0)
    Escherichia coli (enterobacterium) (0)
    Other Organism Orthologs (via OrthoDB)
    Data provided directly from OrthoDB:mir-ban. Refer to their site for version information.
    Paralogs
    Paralogs (via DIOPT v9.1)
    Human Disease Associations
    FlyBase Human Disease Model Reports
    Disease Ontology (DO) Annotations
    Models Based on Experimental Evidence ( 1 )
    Allele
    Disease
    Evidence
    References
    Potential Models Based on Orthology ( 0 )
    Human Ortholog
    Disease
    Evidence
    References
    Modifiers Based on Experimental Evidence ( 7 )
    Disease Associations of Human Orthologs (via DIOPT v9.1 and OMIM)
    Note that ortholog calls supported by only 1 or 2 algorithms (DIOPT score < 3) are not shown.
    Homo sapiens (Human)
    Gene name
    Score
    OMIM
    OMIM Phenotype
    DO term
    Complementation?
    Transgene?
    Functional Complementation Data
    Functional complementation data is computed by FlyBase using a combination of the orthology data obtained from DIOPT and OrthoDB and the allele-level genetic interaction data curated from the literature.
    Interactions
    Summary of Physical Interactions
    esyN Network Diagram
    Show neighbor-neighbor interactions:
    Show/hide secondary interactors 
    (data from AllianceMine provided by esyN)
    Select Layout:
    Legend:
    Protein
    RNA
    Selected Interactor(s)
    Interactions Browser

    Please see the Physical Interaction reports below for full details
    RNA-protein
    Physical Interaction
    Assay
    References
    RNA-RNA
    Physical Interaction
    Assay
    References
    Summary of Genetic Interactions
    esyN Network Diagram
    Show/hide secondary interactors 
    (data from AllianceMine provided by esyN)
    esyN Network Key:
    Suppression
    Enhancement

    Please look at the allele data for full details of the genetic interactions
    Starting gene(s)
    Interaction type
    Interacting gene(s)
    Reference
    Starting gene(s)
    Interaction type
    Interacting gene(s)
    Reference
    External Data
    Linkouts
    DroID - A comprehensive database of gene and protein interactions.
    Pathways
    Signaling Pathways (FlyBase)
    Positive Regulators of EGFR Signaling Pathway -
    Positive regulators of Epidermal Growth Factor Receptor signaling up-regulate the pathway, enhancing the activation of ERK kinase (rl) or acting on downstream effectors.
    Negative Regulators of BMP Signaling Pathway -
    Negative regulators of Bone Morphogenetic Protein (BMP) signaling down-regulate the pathway, ultimately resulting in the decreased nuclear activity of the Mad/Med transcription factor complex.
    Positive Regulators of Notch Signaling Pathway -
    The Notch receptor signaling pathway is activated by the binding of the transmembrane receptor Notch (N) to transmembrane ligands, Dl or Ser, presented on adjacent cells. This results in the proteolytic cleavage of N, releasing the intracellular domain (NICD). NICD translocates into the nucleus, interacting with Su(H) and mam to form a transcription complex, which up-regulates transcription of Notch-responsive genes. Positive regulators of the pathway enhance the signal from the sending cell or the response in the receiving cell. (Adapted from FBrf0225731 and FBrf0192604).
    Metabolic Pathways
    External Data
    Linkouts
    KEGG Pathways - A collection of manually drawn pathway maps representing knowledge of molecular interaction, reaction and relation networks.
    Genomic Location and Detailed Mapping Data
    Chromosome (arm)
    3L
    Recombination map
    3-0.5
    Cytogenetic map
    Sequence location
    FlyBase Computed Cytological Location
    Cytogenetic map
    Evidence for location
    61C7-61C7
    Experimentally Determined Cytological Location
    Cytogenetic map
    Notes
    References
    61C7-61C8
    (determined by in situ hybridisation)
    Experimentally Determined Recombination Data
    Location
    Left of (cM)
    Right of (cM)
    Notes
    Stocks and Reagents
    Stocks (7)
    Genomic Clones (20)
    cDNA Clones (0)
     

    Please Note This section lists cDNAs and ESTs that fall within the genomic extent of the gene model, which may include cDNAs and ESTs of genes within introns, or of overlapping genes. Please see JBrowse for alignment of the cDNAs and ESTs to the gene model.

    cDNA clones, fully sequenced
    BDGP DGC clones
      Other clones
        Drosophila Genomics Resource Center cDNA clones

        For each fully sequenced cDNA the DGRC maintains various forms of the cDNA (e.g tagged or untagged) in several different host vectors for subsequent cloning and expression in Drosophila and Drosophila cell lines.

          cDNA Clones, End Sequenced (ESTs)
          BDGP DGC clones
            Other clones
              RNAi and Array Information
              Linkouts
              Antibody Information
              Laboratory Generated Antibodies
               
              Commercially Available Antibodies
               
              Cell Line Information
              Publicly Available Cell Lines
               
                Other Stable Cell Lines
                 
                • New stable cell line derived from S2-unspecified : S2 cell lines were created that express EGFP mRNA containing target sites in the 3' UTR for either mir-1, mir-34, mir-let7, or mir-ban.

                • New stable cell line derived from S2-unspecified : S2 cells stably expressing 3' UTRs from miRNA-targeted mRNAS attached to a Luciferase reporter were created. Two of the lines carry the hid 3' UTR with a wild type or mutated MRE (microRNA recognition element) for the miR-2 family. The other two carry the rpr 3' UTR with wild type or mutated MREs for mir-ban.

                Other Comments

                ban limits IR-induced apoptosis in larval imaginal discs.

                Upregulation of ban miRNA suppresses neurodegeneration.

                ban activity defines distinct targets that modulate neuro-degeneration.

                ban is a target of the hpo signalling pathway.

                ban suppresses W expression.

                ban mutant clones grow poorly due to a reduced rate of cell proliferation.

                ban acts downstream of yki in the hpo pathway.

                New annotation (CR33559) in release 4.1 of the genome annotation.

                ban microRNA simultaneously stimulates cell proliferating and prevent apoptosis.

                Relationship to Other Genes
                Source for database merge of
                Additional comments

                The annotation for ban has been changed in release 5.31 of the genome annotation, so that instead of representing a mature miRNA it now represents the precursor stem loop pre-miRNA. The symbol of the annotation has been changed from CR33559 to CR43018 to reflect this change.

                " BEST:RE64518 " does not encode "ban" function.

                Evidence suggests that the P{EP}EP3219EP3219 insertion is probably not an allele of "ban" but instead affects a genetically separable locus; the decrease in wing size seen in EP3219EP3219/Df(3L)banΔ1 flies is due primarily to a reduction in cell size rather than cell number, in contrast to banL1170a/Df(3L)banΔ1, banEP3622/Df(3L)banΔ1 or banEPg30491/Df(3L)banΔ1 flies, where the decrease in wing size is due to a reduction in the number of cells. In addition, EP3219EP3219 combined with banL1170a, banEPg30491 or banEP3622 has little or no effect on growth.

                Nomenclature History
                Source for database identify of

                Source for identity of: ban EP3208

                Source for identity of: mir-ban ban

                Nomenclature comments

                Added 'mir-' prefix to be consistent with miRNA naming conventions in FlyBase, and thereby indicate the gene encodes a miRNA in its symbol.

                Etymology

                The gene is named "bantam" after the mutant phenotype; mutant flies are smaller than normal.

                Synonyms and Secondary IDs (17)
                Reported As
                Symbol Synonym
                ban
                (Shi et al., 2023, Baonza et al., 2022, Ding et al., 2022, Enomoto and Igaki, 2022, Hobin et al., 2022, Kumar and Baker, 2022, Liu et al., 2022, Yang et al., 2022, Tokamov et al., 2021, Yin et al., 2021, Guo et al., 2020, Vissers et al., 2020, Grendler et al., 2019, Ma et al., 2019, Misra and Irvine, 2019, Moreno et al., 2019, Sun et al., 2019, Texada et al., 2019, Yee et al., 2019, Azuma et al., 2018, Cho et al., 2018, Setiawan et al., 2018, Volin et al., 2018, Yu and Pan, 2018, Jordán-Álvarez et al., 2017, Li et al., 2017, Ma et al., 2017, Moeller et al., 2017, Perry et al., 2017, Tants et al., 2017, Wu et al., 2017, Zhang et al., 2017, Huang et al., 2016, Pan et al., 2016, Zhang et al., 2016, Dong et al., 2015, Panneton et al., 2015, Wang and Baker, 2015, Xing et al., 2015, Zhang et al., 2015, Bassett et al., 2014, Bilak et al., 2014, Huang et al., 2014, Jiang et al., 2014, Robbins et al., 2014, Wang et al., 2014, Degoutin et al., 2013, Oh et al., 2013, Slattery et al., 2013, Smibert et al., 2013, Zhang and Lai, 2013, Djuranovic et al., 2012, Kagey et al., 2012, Matakatsu and Blair, 2012, Poon et al., 2012, Song et al., 2012, Tan et al., 2012, Genevet and Tapon, 2011, Muliyil et al., 2011, Oh and Irvine, 2011, Reddy and Irvine, 2011, Richter et al., 2011, Slattery et al., 2011, FlyBase Genome Annotators, 2010, Gehrke et al., 2010, Milton et al., 2010, Morrison and Halder, 2010, Neto-Silva et al., 2010, Robinson et al., 2010, Silicheva et al., 2010, Berry et al., 2009, Genevet et al., 2009, Parrish et al., 2009, Peng et al., 2009, Shen et al., 2009, Yang et al., 2009, Dutta and Baehrecke, 2008, Jaklevic et al., 2008, Okamura et al., 2008, Stofanko et al., 2008, Gibert et al., 2007, Kuzin et al., 2007, Shcherbata et al., 2007, Bilen et al., 2006, Bilen et al., 2006, Meyer et al., 2006, Thompson and Cohen, 2006, Leaman et al., 2005)
                miR-bantam
                Name Synonyms
                bantam
                (Busseau et al., 2024, Chan et al., 2023, Kim et al., 2023, Böttcher et al., 2022, Yildirim et al., 2022, Bejarano et al., 2021, Cong et al., 2021, Ito and Igaki, 2021, Osman and Pek, 2021, Ai et al., 2020, Ford et al., 2020, Guo et al., 2020, Hao et al., 2020, Kakumani et al., 2020, Luo et al., 2020, Song and Zhou, 2020, van Soldt and Cardoso, 2020, Gerlach et al., 2019, Hanyu-Nakamura et al., 2019, Kobayashi et al., 2019, Liu et al., 2019, Liu et al., 2019, Reichholf et al., 2019, Wu et al., 2019, Alberti et al., 2018, Banerjee and Roy, 2018, Dubey and Tapadia, 2018, Osman and Pek, 2018, Xu et al., 2018, Banerjee and Roy, 2017, Banerjee and Roy, 2017, Li et al., 2017, Moeller et al., 2017, Qu et al., 2017, Shu et al., 2017, Song et al., 2017, Specchia et al., 2017, Barron and Moberg, 2016, Bonfini et al., 2016, Hu et al., 2016, Sharifkhodaei et al., 2016, Suijkerbuijk et al., 2016, Xiong et al., 2016, Fulga et al., 2015, Irvine and Harvey, 2015, Lerner et al., 2015, Meserve and Duronio, 2015, Pasco et al., 2015, Shen et al., 2015, Su, 2015, Suh et al., 2015, Tataroglu and Emery, 2015, Wen et al., 2015, Weng and Cohen, 2015, Barrio et al., 2014, Huang et al., 2014, Kozomara et al., 2014, Lam et al., 2014, Lee et al., 2014, Naqvi et al., 2014, Robbins et al., 2014, Wang et al., 2014, Carré et al., 2013, Coutinho-Budd and Freeman, 2013, Daneshvar et al., 2013, Degoutin et al., 2013, Doumpas et al., 2013, Huang et al., 2013, Hur et al., 2013, Jin et al., 2013, Lucas and Raikhel, 2013, McKay and Lieb, 2013, Nesler et al., 2013, Nishida et al., 2013, Slattery et al., 2013, Bejarano et al., 2012, Bejarano et al., 2012, Djuranovic et al., 2012, Helfer et al., 2012, Herranz et al., 2012, Herranz et al., 2012, Li and Padgett, 2012, Nagaraj et al., 2012, Schertel et al., 2012, Szuplewski et al., 2012, Tan et al., 2012, Vodala et al., 2012, Westholm et al., 2012, Becam et al., 2011, Enderle et al., 2011, Han et al., 2011, Hartig and Förstemann, 2011, Liu et al., 2011, Muliyil et al., 2011, Oh and Irvine, 2011, Qian et al., 2011, Reddy and Irvine, 2011, Sanders and Smith, 2011, Slattery et al., 2011, Smibert et al., 2011, Staiger and Koster, 2011, Ameres et al., 2010, Djuranovic et al., 2010, Flynt et al., 2010, Gehrke et al., 2010, Ghildiyal et al., 2010, Herranz et al., 2010, Milton et al., 2010, Morrison and Halder, 2010, Nayak et al., 2010, Robinson et al., 2010, Schneiderman et al., 2010, Schneiderman et al., 2010, Cziko et al., 2009, Eulalio et al., 2009, Flynt et al., 2009, Genevet et al., 2009, Hamaratoglu et al., 2009, Kadener et al., 2009, Kadener et al., 2009, Lee et al., 2009, Martin et al., 2009, Miyoshi et al., 2009, Nahvi et al., 2009, Parrish et al., 2009, Pek et al., 2009, Peng et al., 2009, Sabin et al., 2009, Shen et al., 2009, Tanaka-Matakatsu et al., 2009, Yang et al., 2009, Yu et al., 2009, Zekri et al., 2009, Berdnik et al., 2008, Berdnik et al., 2008, Czech et al., 2008, Dutta and Baehrecke, 2008, Herranz et al., 2008, Ibáñez-Ventoso et al., 2008, Jaklevic et al., 2008, Kawamura et al., 2008, Neumuller et al., 2008, Okamura et al., 2008, Okamura et al., 2008, Reynolds et al., 2008, Semeshin et al., 2008, Shah and Förstemann, 2008, Shcherbata et al., 2008, Stofanko et al., 2008, Zhang et al., 2008, Easow et al., 2007, Förstemann et al., 2007, Garcia et al., 2007, Horwich et al., 2007, Kertesz et al., 2007, Liu et al., 2007, Neumüller et al., 2007, Nurminsky, 2007, Park et al., 2007, Reynolds, 2007, Ruby et al., 2007, Shcherbata et al., 2007, Shcherbata et al., 2007, Ye et al., 2007, Barbee et al., 2006, Bilen et al., 2006, Cho et al., 2006, Nolo et al., 2006, Orom et al., 2006, Rehwinkel et al., 2006, Thompson and Cohen, 2006, Vagin et al., 2006, Burgler and Macdonald, 2005, Stark et al., 2005, Trotta et al., 2005, Okamura et al., 2004, Rehmsmeier et al., 2004, Enright et al., 2003, Hipfner et al., 2002)
                mIR-bantam
                miR-bantam
                Secondary FlyBase IDs
                • FBgn0064191
                • FBgn0043352
                • FBgn0262311
                Datasets (0)
                Study focus (0)
                Experimental Role
                Project
                Project Type
                Title
                Study result (0)
                Result
                Result Type
                Title
                External Crossreferences and Linkouts ( 26 )
                Sequence Crossreferences
                NCBI Gene - Gene integrates information from a wide range of species. A record may include nomenclature, Reference Sequences (RefSeqs), maps, pathways, variations, phenotypes, and links to genome-, phenotype-, and locus-specific resources worldwide.
                GenBank Nucleotide - A collection of sequences from several sources, including GenBank, RefSeq, TPA, and PDB.
                RefSeq - A comprehensive, integrated, non-redundant, well-annotated set of reference sequences including genomic, transcript, and protein.
                RNAcentral - A comprehensive ncRNA sequence collection representing all ncRNA types from a broad range of organisms
                Other crossreferences
                DRscDB - A single-cell RNA-seq resource for data mining and data comparison across species
                EMBL-EBI Single Cell Expression Atlas - Single cell expression across species
                FlyAtlas2 - A Drosophila melanogaster expression atlas with RNA-Seq, miRNA-Seq and sex-specific data
                KEGG Genes - Molecular building blocks of life in the genomic space.
                MARRVEL_MODEL - MARRVEL (model organism gene)
                miRBase - A searchable database of published miRNA sequences and annotation.
                Linkouts
                DroID - A comprehensive database of gene and protein interactions.
                FlyCyc Genes - Genes from a BioCyc PGDB for Dmel
                Interactive Fly - A cyberspace guide to Drosophila development and metazoan evolution
                KEGG Pathways - A collection of manually drawn pathway maps representing knowledge of molecular interaction, reaction and relation networks.
                References (407)