I1RF64 AF NFT

Multicopper oxidase aurL2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiczkyneal7yv7c3t2wquhs7j4mzvf26shaht5wmr7orgsy4owlofi/metadata.json
IPFS of structure file: 
bafybeifvj4tkkaibuwqgsr6yzgyr4bjpi3will7eaaghc6eszu3jjqy3qu/AF-I1RF64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5dfcCA0c3d3C80fce40683434Fb3f20C2a70759F
First NFT owner address (bech32): 
genesis1th7v5rpa8jq0eeqxsdp5lvljps48qavlhwxxle
Current NFT ID #39298 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39298
Accession (UniProt):
I1RF64
Name::
Multicopper oxidase aurL2
Experimental Method:
Predicted structure
Sequence source:
Gibberella zeae (strain ATCC MYA-4620 / CBS 123657 / FGSC 9075 / NRRL 31084 / PH-1)

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 I1RF64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|I1RF64|AURL2_GIBZE Multicopper oxidase aurL2 OS=Gibberella zeae (strain ATCC MYA-4620 / CBS 123657 / FGSC 9075 / NRRL 31084 / PH-1) OX=229533 GN=aurL2 PE=2 SV=1 MLFRFLALLPFVAGAFAEYKVHDDTFKPDYVLEATLDDIKINCVSRSSIVFNGTSPGPTIYLQEEQTTWIRVYNKIPDNNVTVHWHGLSQRAAPFSDGTPLVSQWPIPAGQFFDYEIRPEIGDAGSYFYHSHVGFQIVTAFGALIVRDARKPEYKYDGDIPLLVGDNYAAEDEVIEQGLLADPFKWSGEPQAITIQGNSGNKSFYEAPDSSCMPHVVHVDPGKTYRLRFISATALSMIKLGIEDHENLTVIEADGSYTKPAKIDHVQVSPGQRYSYLMKTKTSKEVCGGDKSQYWIRYESRDRPKVISGYALLKYRCDKNQKLPKSLPETSPIELSNSTADYLEYALEGLSEKNNQAFPKLSEVTRTVVIQINQILTTGAYVNGTLNGTVAWAQNGLPWKENVQAERRQVPYLIQIYENGTTPNYTLALEHHGFDPETKAFPAKVGEVLDIVWENNNGPTGGWDYHPMHVHGYHVYDLGSGNGTYNATENEAHFENFTPVLRDTTNLYRYAVKGVPHHTAGWRAWRIRITEENIGAWMMHCHIAQHQVMGMATVWVFGDAEQIRGKFPAPPYTQGYLTYGGSAYGTEDDQPWVNEYYSDKNN