Q9CPU9 AF NFT

Probable low affinity copper uptake protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiduhtgikdqsbv5ab2mkwx4pldmo5jmp2en6k6ynbhcfrxnujj75ae/metadata.json
IPFS of structure file: 
bafybeiezoadsgqdqxrx7fxf6goif2s34cpvk4zxtvsw2rs7slkqo25m5s4/AF-Q9CPU9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3aFd2E734A81A7F74B5E57D5823327c30169f279
First NFT owner address (bech32): 
genesis18t7juu62sxnlwj672l2cyve8cvqknunep84c7m
Current NFT ID #72727 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
72727
Accession (UniProt):
Q9CPU9
Name::
Probable low affinity copper uptake protein 2
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9CPU9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CPU9|COPT2_MOUSE Probable low affinity copper uptake protein 2 OS=Mus musculus OX=10090 GN=Slc31a2 PE=1 SV=1 MPMHFIFSDEAVLLFDFWRVHSPTGMALSVLVVLLLAVLYEGIKVGKAKLLHKTLESLPATNSQQFILGPDQDSTGSRSTSDNRTRLRWFLCYFGQSLVHVIQVVIGYFVMLAVMSYNTWIFLGVVLGSAVGYYLAYPLLNMT