Q9VRJ0 AF NFT

Flap endonuclease GEN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifwfcttu54qcvvawj2oykhuqlch2r4leegyr3iilbizl6w3225wci/metadata.json
IPFS of structure file: 
bafybeiffsbplij7gjfkhj6xtm7uz5ygxumvl6q5fnktwuly4eudpn7ffeu/AF-Q9VRJ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #146320 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
146320
Accession (UniProt):
Q9VRJ0
Name::
Flap endonuclease GEN
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VRJ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VRJ0|GEN_DROME Flap endonuclease GEN OS=Drosophila melanogaster OX=7227 GN=Gen PE=1 SV=1 MGVKELWGVLTPHCERKPINELRGKKVAIDLAGWVCESLNVVDYFVHPRHHLKNLFFRTCYLIWEQVTPVFVLEGVAPKLKSQVIAKRNELQFRGVKPKNSPECTQSQPSKGDKGRSRFNHVLKQCETLLLSMGIQCVQGPGEAEAYCAFLNKHGLVDGVISQDSDCFAYGAVRVYRNFSVSTQGAQAAAGGAVDIYDMREITSRMDFGQQKIIVMALLCGCDYCPDGIGGIGKDGVLKLFNKYKETEILDRMRSWRGETDKYNALEIRVDDKSICSNCGHIGKTQSHTKSGCSVCRTHKGCDESLWKEQRLSIKSELTLRRKALLSPDFPNEEIIAEFLSEPDTIPNLNLNWRQPNLVKFIKQIGHLLQWPEIYCFQKFFPILTRWQVQQSKQEKILIQPHEIIKKRTVKGVPSLELRWHDPSGIFKGLIPDKQIAEYEAEHPKGIEELYYTIEPLDMLETAYPDLVAAFLKSKEKPAKKTTRKKKTASEEENKENEPNSKPKRVVRKIKAQPEENQPLLHQFLGRKKEGTPVKAPAPQRQQCSTPITKFLPSDLESDCDAEEFDMSDIVKGIISNPNAKPALTNHDGHQLHYEPMAEDLSLRLAQMSLGNVNESPKVETKRDLSQVDQLPQSKRFSLEDSFDLLVKGDLQKLARTPVERFKMQHRISEKIPTPVKPLDNISYFFNQSSDNADVFEELMNSSLVPQDQEDNAEDEEEDDLVVISD