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Center for Computational Systems Medicine
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Protein Summary

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AS Summary

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Protein Functional Features

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Gene Isoform Structures and Expression Levels

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Protein Structures

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pLDDT Score Distribution

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Ramachandran Plot of Protein Structures

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Potential Active Site Information

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Protein Structure and Feature Comparision

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Protein-Protein Interaction

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Related Drugs

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Related Diseases

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Clinically Important Variants

Protein:DDX5

Protein Summary

check button Gene summary
Gene name: DDX5
ASpdb.0 ID: 1655
Gene
Gene symbol

DDX5

Gene ID

1655

Gene nameDEAD-box helicase 5
SynonymsG17P1|HLR1|HUMP68|p68
Cytomap

17q23.3

Type of geneprotein-coding
Descriptionprobable ATP-dependent RNA helicase DDX5ATP-dependent RNA helicase DDX5DEAD (Asp-Glu-Ala-Asp) box helicase 5DEAD (Asp-Glu-Ala-Asp) box polypeptide 5DEAD box protein 5DEAD box-5DEAD/H (Asp-Glu-Ala-Asp/His) box polypeptide 5 (RNA helicase, 68kD)RNA h
Modification date20240407
UniProtAcc

P17844


check button Gene ontology of this gene with evidence of Inferred from Direct Assay (IDA) from Entrez
PartnerGeneGO IDGO termPubMed ID
GeneDDX5

GO:0000122

negative regulation of transcription by RNA polymerase II

15298701

GeneDDX5

GO:0000381

regulation of alternative mRNA splicing, via spliceosome

21343338

GeneDDX5

GO:0000956

nuclear-transcribed mRNA catabolic process

23788676

GeneDDX5

GO:0003730

mRNA 3'-UTR binding

23788676

GeneDDX5

GO:0005634

nucleus

24910439

GeneDDX5

GO:0005654

nucleoplasm

-

GeneDDX5

GO:0005730

nucleolus

10837141

GeneDDX5

GO:0016607

nuclear speck

24644279

GeneDDX5

GO:0036002

pre-mRNA binding

21343338

GeneDDX5

GO:0043021

ribonucleoprotein complex binding

23788676

GeneDDX5

GO:0050681

nuclear androgen receptor binding

18829551

GeneDDX5

GO:0070878

primary miRNA binding

18548003

GeneDDX5

GO:0071013

catalytic step 2 spliceosome

11991638

GeneDDX5

GO:1990904

ribonucleoprotein complex

18809582



AS Summary

check button Information of the canonical protein with experimentally identified structure from PDB (2023).
UniProt AccFile namePDB IDMethodResolutionChainStartEnd
P17844-1P17844-1_4a4d_A.pdb4A4DX-ray2.7A52304

check button ASpdb's canonical and alternatively spliced isoform information.
accession_idgene_namecanonical_idalternative_idcanonical_lengthalternative_lengthcanonical_startcanonical_endtypeoriginalSEQvariationSEQalternative_startalternative_end
P17844DDX5P17844-1P17844-261453585163Deletionnonenone8484

check buttonMultiple sequence alignment of our canonical and alternatively spliced DDX5

check button Matched gene isoform IDs with Ensembl and RefSeq of our canonical and alternative spliced genes of DDX5
UniProt-idENSGENSTENSP
P17844-1ENSG00000108654.16ENST00000225792.10ENSP00000225792.5
P17844-1ENSG00000108654.16ENST00000450599.7ENSP00000403085.3
P17844-1ENSG00000108654.16ENST00000577922.6ENSP00000464337.2
P17844-1ENSG00000108654.16ENST00000585111.2ENSP00000463168.2
P17844-1ENSG00000108654.16ENST00000676785.1ENSP00000504794.1

UniProt-idNM IDNP ID
P17844-1NM_001320595.1NP_001307524.1
P17844-1NM_001320596.1NP_001307525.1
P17844-1NM_004396.4NP_004387.1

check buttonAmino acid sequences of our canonical and alternatively spliced DDX5
accession_idProtein sequence
P17844-1MSGYSSDRDRGRDRGFGAPRFGGSRAGPLSGKKFGNPGEKLVKKKWNLDELPKFEKNFYQEHPDLARRTAQEVETYRRSKEITVRGHNCP
KPVLNFYEANFPANVMDVIARQNFTEPTAIQAQGWPVALSGLDMVGVAQTGSGKTLSYLLPAIVHINHQPFLERGDGPICLVLAPTRELA
QQVQQVAAEYCRACRLKSTCIYGGAPKGPQIRDLERGVEICIATPGRLIDFLECGKTNLRRTTYLVLDEADRMLDMGFEPQIRKIVDQIR
PDRQTLMWSATWPKEVRQLAEDFLKDYIHINIGALELSANHNILQIVDVCHDVEKDEKLIRLMEEIMSEKENKTIVFVETKRRCDELTRK
MRRDGWPAMGIHGDKSQQERDWVLNEFKHGKAPILIATDVASRGLDVEDVKFVINYDYPNSSEDYIHRIGRTARSTKTGTAYTFFTPNNI
KQVSDLISVLREANQAINPKLLQLVEDRGSGRSRGRGGMKDDRRDRYSAGKRGGFNTFRDRENYDRGYSSLLKRDFGAKTQNGVYSAANY
P17844-2MSGYSSDRDRGRDRGFGAPRFGGSRAGPLSGKKFGNPGEKLVKKKWNLDELPKFEKNFYQEHPDLARRTAQEVETYRRSKEITVRGDGPI
CLVLAPTRELAQQVQQVAAEYCRACRLKSTCIYGGAPKGPQIRDLERGVEICIATPGRLIDFLECGKTNLRRTTYLVLDEADRMLDMGFE
PQIRKIVDQIRPDRQTLMWSATWPKEVRQLAEDFLKDYIHINIGALELSANHNILQIVDVCHDVEKDEKLIRLMEEIMSEKENKTIVFVE
TKRRCDELTRKMRRDGWPAMGIHGDKSQQERDWVLNEFKHGKAPILIATDVASRGLDVEDVKFVINYDYPNSSEDYIHRIGRTARSTKTG
TAYTFFTPNNIKQVSDLISVLREANQAINPKLLQLVEDRGSGRSRGRGGMKDDRRDRYSAGKRGGFNTFRDRENYDRGYSSLLKRDFGAK

Protein Functional Features

check buttonMain function of this protein. (from UniProt)
DDX5 (go to UniProt):P17844

check buttonRetention analysis result of protein across 39 protein features of UniProt such as six molecule processing features, 13 region features, four site features, six amino acid modification features, two natural variation features, five experimental info features, and 3 secondary structure features. Here, because of limited space for viewing, we only show the protein feature retention information belong to the 13 regional features. All retention annotation result can be downloaded at

download page

* Minus value of BPloci means that the break pointn is located before the CDS.
- Retained protein feature among the 13 regional features.
Accession_idSubsectionStartEndFuncitonal featureSplicing information
P17844Domain125300Note=Helicase ATP-binding;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00541Type=Deletion;Start=85;End=163
P17844Motif94122Note=Q motifType=Deletion;Start=85;End=163


Gene Isoform Structures and Expression Levels for DDX5

check buttonGene structures of our canonical and alternative spliced genes of DDX5
* Click on the image to open the UCSC genome browser with custom track showing this image in a new window.
gene isoform structure of DDX5

check button Expression levels of gene isoforms across GTEx.
gtex expression

check button Expression levels of gene isoforms across TCGA.
tcga expression


Protein Structures

check button PDB and CIF files of the predicted protein structures
* Here we show the 3D structure of the proteins using Mol*. AlphaFold produces a per-residue confidence score (pLDDT) between 0 and 100. Model confidence is shown from the pLDDT values per residue. pLDDT corresponds to the model’s prediction of its score on the local Distance Difference Test. It is a measure of local accuracy (from AlphfaFold website). To color code individual residues, we transformed individual PDB files into CIF format.
3D view using mol* of P17844-1
3D view using mol* of P17844-2


pLDDT Score Distribution

check button pLDDT score distribution of the predicted protein structures from AlphaFold2
* AlphaFold produces a per-residue confidence score (pLDDT) between 0 and 100.
pLDDT distribution across the protein length of P17844-1
all structure
pLDDT distribution across the protein length of P17844-2
all structure


Ramachandran Plot of Protein Structures


check button Ramachandran plot of the torsional angles - phi (φ)and psi (ψ) - of the residues (amino acids) contained in this protein peptide.
Ramachandran plot of P17844-1
all structure

Potential Active Site Information


check button The potential binding sites of these proteins were identified using SiteMap, a module of the Schrodinger suite.
UniProt-idSite scoreSizeD scoreVolumeExposureEnclosureContactPhobicPhilicBalanceDon/AccResidues
P17844-11.0383840.9331060.5560.5390.7550.9550.2271.4120.160.59480,81,85,96,109,112,114,115,116,117,118,119,121,12
5,137,138,139,140,141,142,143,144,145,146,148,150,
178,179,181,182,183,185,186,189,190,248,249,278,27
9,280,281,282,283,284,285,287,299,301,302,303,304,
305,306,307,308,309,310,311,312,313,381,384,385,38
8,403,404,405,406,407,408,409,410,426,427,429,430,
431,433,434,435,437,462
P17844-20.9712580.994626.3180.6080.6530.8180.2941.0370.2840.847172,175,176,194,195,196,197,198,199,200,201,202,20
3,204,205,206,207,208,211,214,215,216,218,219,220,
221,222,223,224,225,226,227,228,229,230,231,234,34
2,343,344,347,348,350,351,353,354,355,356,376,379,
380,383

Protein Structure and Feature Comparision


check button Protein Structure Comparision Using Template Modeling Scores (TM-score).
all structure

check button Protein Structure Comparision Visualization with mol*. between Canonical predicted structure (AF2)(orange) vs Canonical validated structure (PDB)(green)
3D view using mol* of P17844-1_P17844-1_4a4d_A.pdb

check button Protein Structure Comparision Visualization with mol*. between Canonical validated structure (PDB)(orange) vs Alternative predicted structure (AF2)(green)
3D view using mol* of P17844-1_4a4d_A_P17844-2.pdb

check button Protein Structure Comparision Visualization with mol*. between Canonical predicted structure (AF2)(orange) vs Alternative predicted structure (AF2)(green)
3D view using mol* of P17844-1_P17844-2.pdb

check button Protein Feature Comparison of the protein sequendary structures among the protiens.
./stats/secondary_structure/figure/P17844-1_vs_P17844-2.png
all structure<

check button Protein Feature Comparison of the relative accessible surface area (ASA) among the protiens.
./stats/relative_asa/P17844-1_vs_P17844-2.png
all structure<


Protein-Protein Interaction


check button Interactors from UniProt.
Accession_idSubsectionStartEndFuncitonal featureSplicing information


check button Interactors from STRING.
Gene nameInteractors


Related Drugs to DDX5


check button Drugs targeting this gene/protein.
(DrugBank)
UniProt accessionGene nameDrugBank IDDrug nameDrug groupActions
P17844DDX5DB11638Artenimolapproved, experimental, investigationalligand

Related Diseases to DDX5


check button Previous studies relating to the alternative splicing of DDX5 and disease information from the MeSH term (PubMed)
GenePMIDTitleAbstractMeSH IDMeSH term
DDX516230076Beta-catenin interacts with the FUS proto-oncogene product and regulates pre-mRNA splicing.beta-Catenin is a downstream effector of the Wnt signaling pathway and is believed to exert its oncogenic function by activating T-cell factor (TCF)/lymphoid enhancer factor (LEF) family transcriptional factors. However, it is still uncertain whether the diverse effects of beta-catenin are caused solely by aberrant gene transactivation. In this study, we used a proteomics approach to obtain further insight into the functional properties of nuclear beta-catenin.D015179Colorectal Neoplasms
DDX521345143RNA helicases p68 and p72: multifunctional proteins with important implications for cancer development.The DEAD box RNA helicases p68 (DDX5) and p72 (DDX17) play important roles in multiple cellular processes that are commonly dysregulated in cancers, including transcription, pre-mRNA processing/alternative splicing and miRNA processing. Although p68 and p72 appear to have some overlapping functions, they clearly also have distinct, nonredundant functions. Furthermore, their ability to interact with a variety of different factors and act as multifunctional proteins has the potential to impact on several different processes, and alterations in expression or function of p68 and/or p72 could have profound implications for cancer development. However, their roles are likely to be context-dependent and both proteins have been reported to have pro-proliferation or even oncogenic functions as well as antiproliferative or tumor cosuppressor roles. Therefore, eludicating the precise role of these proteins in cancer is likely to be complex and to depend on the cellular environment and interacting factors. In this article, we review the many functions that have been attributed to p68 and p72 and discuss their potential roles in cancer development.D009369Neoplasms
DDX522156369New function for the RNA helicase p68/DDX5 as a modifier of MBNL1 activity on expanded CUG repeats.Myotonic Dystrophy type I (DM1) is caused by an abnormal expansion of CTG triplets in the 3' UTR of the dystrophia myotonica protein kinase (DMPK) gene, leading to the aggregation of the mutant transcript in nuclear RNA foci. The expanded mutant transcript promotes the sequestration of the MBNL1 splicing factor, resulting in the misregulation of a subset of alternative splicing events. In this study, we identify the DEAD-box RNA helicase p68 (DDX5) in complexes assembled onto in vitro-transcribed CUG repeats. We showed that p68 colocalized with RNA foci in cells expressing the 3'UTR of the DMPK gene containing expanded CTG repeats. We found that p68 increased MBNL1 binding onto pathological repeats and the stem-loop structure regulatory element within the cardiac Troponin T (TNNT2) pre-mRNA, splicing of which is misregulated in DM1. Mutations in the helicase core of p68 prevented both the stimulatory effect of the protein on MBNL1 binding and the colocalization of p68 with CUG repeats, suggesting that remodeling of RNA secondary structure by p68 facilitates MBNL1 binding. We also found that the competence of p68 for regulating TNNT2 exon 5 inclusion depended on the integrity of MBNL1 binding sites. We propose that p68 acts as a modifier of MBNL1 activity on splicing targets and pathogenic RNA.D009223Myotonic Dystrophy
DDX523022728Splicing switch of an epigenetic regulator by RNA helicases promotes tumor-cell invasiveness.Both epigenetic and splicing regulation contribute to tumor progression, but the potential links between these two levels of gene-expression regulation in pathogenesis are not well understood. Here, we report that the mouse and human RNA helicases Ddx17 and Ddx5 contribute to tumor-cell invasiveness by regulating alternative splicing of several DNA- and chromatin-binding factors, including the macroH2A1 histone. We show that macroH2A1 splicing isoforms differentially regulate the transcription of a set of genes involved in redox metabolism. In particular, the SOD3 gene that encodes the extracellular superoxide dismutase and plays a part in cell migration is regulated in an opposite manner by macroH2A1 splicing isoforms. These findings reveal a new regulatory pathway in which splicing factors control the expression of histone variant isoforms that in turn drive a transcription program to switch tumor cells to an invasive phenotype.D009361Neoplasm Invasiveness
DDX524711643Identifying biological pathways that underlie primordial short stature using network analysis.Mutations in CUL7, OBSL1 and CCDC8, leading to disordered ubiquitination, cause one of the commonest primordial growth disorders, 3-M syndrome. This condition is associated with i) abnormal p53 function, ii) GH and/or IGF1 resistance, which may relate to failure to recycle signalling molecules, and iii) cellular IGF2 deficiency. However the exact molecular mechanisms that may link these abnormalities generating growth restriction remain undefined. In this study, we have used immunoprecipitation/mass spectrometry and transcriptomic studies to generate a 3-M 'interactome', to define key cellular pathways and biological functions associated with growth failure seen in 3-M. We identified 189 proteins which interacted with CUL7, OBSL1 and CCDC8, from which a network including 176 of these proteins was generated. To strengthen the association to 3-M syndrome, these proteins were compared with an inferred network generated from the genes that were differentially expressed in 3-M fibroblasts compared with controls. This resulted in a final 3-M network of 131 proteins, with the most significant biological pathway within the network being mRNA splicing/processing. We have shown using an exogenous insulin receptor (INSR) minigene system that alternative splicing of exon 11 is significantly changed in HEK293 cells with altered expression of CUL7, OBSL1 and CCDC8 and in 3-M fibroblasts. The net result is a reduction in the expression of the mitogenic INSR isoform in 3-M syndrome. From these preliminary data, we hypothesise that disordered ubiquitination could result in aberrant mRNA splicing in 3-M; however, further investigation is required to determine whether this contributes to growth failure.D004392Dwarfism
DDX524711643Identifying biological pathways that underlie primordial short stature using network analysis.Mutations in CUL7, OBSL1 and CCDC8, leading to disordered ubiquitination, cause one of the commonest primordial growth disorders, 3-M syndrome. This condition is associated with i) abnormal p53 function, ii) GH and/or IGF1 resistance, which may relate to failure to recycle signalling molecules, and iii) cellular IGF2 deficiency. However the exact molecular mechanisms that may link these abnormalities generating growth restriction remain undefined. In this study, we have used immunoprecipitation/mass spectrometry and transcriptomic studies to generate a 3-M 'interactome', to define key cellular pathways and biological functions associated with growth failure seen in 3-M. We identified 189 proteins which interacted with CUL7, OBSL1 and CCDC8, from which a network including 176 of these proteins was generated. To strengthen the association to 3-M syndrome, these proteins were compared with an inferred network generated from the genes that were differentially expressed in 3-M fibroblasts compared with controls. This resulted in a final 3-M network of 131 proteins, with the most significant biological pathway within the network being mRNA splicing/processing. We have shown using an exogenous insulin receptor (INSR) minigene system that alternative splicing of exon 11 is significantly changed in HEK293 cells with altered expression of CUL7, OBSL1 and CCDC8 and in 3-M fibroblasts. The net result is a reduction in the expression of the mitogenic INSR isoform in 3-M syndrome. From these preliminary data, we hypothesise that disordered ubiquitination could result in aberrant mRNA splicing in 3-M; however, further investigation is required to determine whether this contributes to growth failure.D006130Growth Disorders
DDX524711643Identifying biological pathways that underlie primordial short stature using network analysis.Mutations in CUL7, OBSL1 and CCDC8, leading to disordered ubiquitination, cause one of the commonest primordial growth disorders, 3-M syndrome. This condition is associated with i) abnormal p53 function, ii) GH and/or IGF1 resistance, which may relate to failure to recycle signalling molecules, and iii) cellular IGF2 deficiency. However the exact molecular mechanisms that may link these abnormalities generating growth restriction remain undefined. In this study, we have used immunoprecipitation/mass spectrometry and transcriptomic studies to generate a 3-M 'interactome', to define key cellular pathways and biological functions associated with growth failure seen in 3-M. We identified 189 proteins which interacted with CUL7, OBSL1 and CCDC8, from which a network including 176 of these proteins was generated. To strengthen the association to 3-M syndrome, these proteins were compared with an inferred network generated from the genes that were differentially expressed in 3-M fibroblasts compared with controls. This resulted in a final 3-M network of 131 proteins, with the most significant biological pathway within the network being mRNA splicing/processing. We have shown using an exogenous insulin receptor (INSR) minigene system that alternative splicing of exon 11 is significantly changed in HEK293 cells with altered expression of CUL7, OBSL1 and CCDC8 and in 3-M fibroblasts. The net result is a reduction in the expression of the mitogenic INSR isoform in 3-M syndrome. From these preliminary data, we hypothesise that disordered ubiquitination could result in aberrant mRNA splicing in 3-M; however, further investigation is required to determine whether this contributes to growth failure.D009123Muscle Hypotonia


Clinically important variants in DDX5


check button (ClinVar, 04/20/2024)
accession_iduniprot_idgene_nameTypeVariantClinical_significance