Q17390 AF NFT

Cullin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiatghlqxhdytzuik7bzrbj2sx4zahkp33gqbmmp66ycchwxy3gx7q/metadata.json
IPFS of structure file: 
bafybeibmjdlby34yp2hvpg2plfwb5vn23rp4ii3wmauzgfff6osdjrpa3q/AF-Q17390-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #80928 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
80928
Accession (UniProt):
Q17390
Name::
Cullin-2
Experimental Method:
Predicted structure
Sequence source:
CAENORHABDITIS ELEGANS

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 Q17390 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17390|CUL2_CAEEL Cullin-2 OS=Caenorhabditis elegans OX=6239 GN=cul-2 PE=1 SV=4 MASSTKVSLRRPPRPQVMYSLKPKVVEFDKVWVQLRPSIIDIINLRPITNVQWHHKFSDVYDICVSIPTPLSERLYNEVKACIQEHVRQKRQDIVDVDPDLLLQEYHKMWRVFHEGAIFIHRLFGYLNKQFVKQKRCTDLDNFAQYAAFLQIPDVKEIGCLALEIWKEDLVKTILPQLVKLLLIAIDNDRKGNFPHIANEVSGVINSFVKMEETDFDVVPAEGARYKARESTTAFYQESFEKPLLTDTEQYYSALAQKMLTDLSCSEYMEQVIVLLEQEEMRAKKYLHESSVEKVITLCQKVMIKAHKDKLHAVCHDLITNEENKDLRNMYRLLKPIQAGLSVMVKEFEEYVKKKGLEAVSRLTGENVPQQFVENVLRVYNKFNDMKTAVFMDDGEFSSGLDKALQGVVNSKEPGQSVPKASERLARYTDGLLKKSTKGLSETDLEAKLDSAIVIFRYIEDKDIFQKFYSKMLANRLIASTSISMDAEELMINKLKQACGYEFTSKLSRMFTDIGLSQELSNNFDKHIADIKTVQPDVKFVPTQTMILQAGSWPLNAPQLSTNSNNQTAQDVANFHLPRILQPVIQEFEKFYTGKHNGRKLTWLFNMSQGDVRLTYLDKQYVAQMYVYQMAALLCFERRDAILVKDIGEEIGVSGDYLLKTIRTILDVTLLTCDDQNLTADSLVRLNMSMTSKRMKFRLQAPQVNKAVEKEQEAVANTVSQDRKYYMECAIVRIMKTRKVLKHNALVTEIMDQTKGRFSPDVPFIKKSIEDLIEKMYIQRTDQNDEYQYLA