Q6INC4 AF NFT

APC membrane recruitment protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiefximmiqncartjxwtkvec2b2ww5wrvnyyty47fj5d33pjk6agcym/metadata.json
IPFS of structure file: 
bafybeig4zaburcjlhwopzhndudwcstflus6hkipxqdzvgt7z4wesaojaua/AF-Q6INC4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #14721 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
14721
Accession (UniProt):
Q6INC4
Name::
APC membrane recruitment protein 2
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q6INC4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6INC4|AMER2_XENLA APC membrane recruitment protein 2 OS=Xenopus laevis OX=8355 GN=amer2 PE=2 SV=2 MDLHYDCAESPAAEQPSGKINKTAFKLFGKRRSGSAMPTIFGVKNKGDGKGTGNIGMVRSKTLDGLADVVLESNKKEEPCTNAGAGQLNTEKSPKVVTINPDVSSDSSVAKSHSFFSLLKRNGKSENVKGELAEQKPGSRQKRGLKGLFNSMRWSKKDKSYKDDKEGASENQPGLILPSSLTASLECIKEETQKPLCEKEKSEEDIPADVPSVEHSGDVNTSAEENPLNGCVESPCPALITKEPQLEDPPVIQQVDNLYQLPDPEVETLPDNKDEDVTGDIPVNTVSIVEPECDVGQEIAAPDPTTVDPPSEPSFDRICLMLADVTSLKSFDSLTGCGDVIADQDDDGGSSKGSKVVPGNGKKVTSKKNANIVAYQGGGEEMASPEEADETYVQELFSMIPQSEGASEKPEKVNGTTQVTAREVKCSDSGRDRNTVKPSKLRQVPIRRKERGDQNSKGNEKRQCHRNSDEGYWDSTTLGQEEEEPRSVGKQALPRDSCSGDALYDLYTDPDESIPKAQAEEPPVSHSHSKPLSPVTASCPVKTASSNKESKIPISIKHLPVHTTNQGIDSGSGSAAGHSHPVKSELPRTKIPVSKVLVRRVSNKAITETAAGKRAIHDPARKHH