Q61496 AF NFT

ATP-dependent RNA helicase DDX4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbepponmdqj7xglaisuctu2xg45ngwkj4thxbhhixqkb3ragqi3u/metadata.json
IPFS of structure file: 
bafybeihigii5lo4aurng5orxoiue5zp3u4cctbp4redj5ghfab665zqcum/AF-Q61496-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x99b776DEB2a7E235736ca77F71997f7A305AC803
First NFT owner address (bech32): 
genesis1nxmhdh4j5l3r2umv5alhrxtl0gc94jqrv7t5qn
Current NFT ID #93520 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
93520
Accession (UniProt):
Q61496
Name::
ATP-dependent RNA helicase DDX4
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q61496 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q61496|DDX4_MOUSE ATP-dependent RNA helicase DDX4 OS=Mus musculus OX=10090 GN=Ddx4 PE=1 SV=2 MGDEDWEAEILKPHVSSYVPVFEKDKYSSGANGDTFNRTSASSDIGESSKKENTSTTGGFGRGKGFGNRGFLNNKFEEGDSSGFWKESNNDCEDNQTRSRGFSKRGGCQDGNDSEASGPFRRGGRGSFRGCRGGFGLGRPNSESDQDQGTQRGGGLFGSRKPAASDSGNGDTYQSRSGSGRGGYKGLNEEVVTGSGKNSWKSETEGGESSDSQGPKVTYIPPPPPEDEDSIFAHYQTGINFDKYDTILVEVSGHDAPPAILTFEEANLCQTLNNNIAKAGYTKLTPVQKYSIPIVLAGRDLMACAQTGSGKTAAFLLPILAHMMRDGITASRFKELQEPECIIVAPTRELINQIYLEARKFSFGTCVRAVVIYGGTQFGHSVRQIVQGCNILCATPGRLMDIIGKEKIGLKQVKYLVLDEADRMLDMGFGPEMKKLISCPGMPSKEQRQTLLFSATFPEEIQRLAGDFLKSSYLFVAVGQVGGACRDVQQTILQVGQYSKREKLVEILRNIGDERTMVFVETKKKADFIATFLCQEKISTTSIHGDREQREREQALGDFRCGKCPVLVATSVAARGLDIENVQHVINFDLPSTIDEYVHRIGRTGRCGNTGRAISFFDTDSDNHLAQPLVKVLSDAQQDVPAWLEEIAFSTYVPPSFSSSTRGGAVFASVDTRKNYQGKHTLNTAGISSSQAPNPVDDESWD