A7RNG8 AF NFT

Coiled-coil domain-containing protein 22 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigh4gg2cc7fhgbdgnph7nisiyefkzkqhe5rhuy3lcq5n2h6rauuoi/metadata.json
IPFS of structure file: 
bafybeiatu53dym46yfytoddifureha3nvw2zves4refcla6xeqglaafh2q/AF-A7RNG8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8a472F9414Bedc654E6640D356517d0b0Ec25226
First NFT owner address (bech32): 
genesis13frjl9q5hmwx2nnxgrf4v5tapv8vy53xtchtp4
Current NFT ID #54324 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
54324
Accession (UniProt):
A7RNG8
Name::
Coiled-coil domain-containing protein 22 homolog
Experimental Method:
Predicted structure
Sequence source:
NEMATOSTELLA VECTENSIS

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 A7RNG8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7RNG8|CCD22_NEMVE Coiled-coil domain-containing protein 22 homolog OS=Nematostella vectensis OX=45351 GN=v1g180167 PE=3 SV=1 MEEVDNIIIHTLRQIGCEIPEEIQSLREFTTTVIVQASSKCLHVINEDIDIPSNLPSSMSAKFRVGTMLAAALQDLGYRGEIGYQTFLYSNEKDIRSVFMFLVEHLPKETSLAASEPLGSSVLLNRRVASDLAQRLTLSWTPTFLKKGGVRWKGSKPKTYFREGSASMRRFHACNLKSPQGLTDLTAKISKETKAYYSVIPYVTSQPPCRQDVVPSVLESNSLSVTAVAEWELEWNQSGLSSRLTKEEYLARKRQRLEKKIKDHVLAEMQRVEAGGRAASDLSDIVSSFSDRVSTIESQTQGSRFTRTEKLQFAQDEQKAAAMAGLSESGPPKMDTEEELQKKREQELEALQNKLKDLASSVDEKKSEIKTMNAGLQQTNEQVTATKVQNSEHEESYKVKKRTVDLLPDAENNIAKLQGVVDSSSQRLVNLAQQWETHRTALIDEYRELKVINANKVSETQKKLEEIKSLREKMKEVAEETRGKDDLYKQLVSEYERMSRDVNRSAYTRRILEIVGNIKKQKEEINKILVDTKSVQKEINQLSGKLDRTFTVTDELIFRDAKKDEACRKAYKYLASLHENCKELIQAVEDTGVIMREIRDLEEQIDTESQRNTANNLERITADHKQMKEENATLTKKIKALKSS