Q9CY18 AF NFT

Sorting nexin-7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifuvigrjgsvt6rwvhlz7x7hhtuf3hsl6s7hopqxhseiah5nzofrv4/metadata.json
IPFS of structure file: 
bafybeihbhzsngutdndtj53haimzmjz4w3ixpdqnouow6fonfl2uc2kx4iy/AF-Q9CY18-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6677b5Ad15c3ff003A0dB8E58556cBEF6e99dcb7
First NFT owner address (bech32): 
genesis1vemmttg4c0lsqwsdhrjc24ktaahfnh9he235zj
Current NFT ID #432082 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
432082
Accession (UniProt):
Q9CY18
Name::
Sorting nexin-7
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 Q9CY18 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CY18|SNX7_MOUSE Sorting nexin-7 OS=Mus musculus OX=10090 GN=Snx7 PE=1 SV=1 MDMNSFSPMMPTSPLSMINQIKFEDGPDLKDLFITVDAPESHVTTIETFITYRIVTKTSRGEFDSSEFEVRRRYQDFLWLKGKLEEAHPTLIIPPLPEKFIVKGMVERFNDDFIETRRKALHKFLNRIADHPTLTFNEDFKVFLTAQAEELSSYKKQGPGLLSRMGQTVRAVASSMRGVKNRPEEFMEMNNFIETFSQKINLIDKISQRIYKEERDYFDEMKEYGPIHILWSASEEELVDTLKGMAGCIEQCCKATEKRMAGLSEALLPVVHEYVLYSEMLVGVMKRRDQIQTELDSKVEALTYKKADIDLLTEEIGKLEDKVECANNALKADWERWKQNMKNDLRSAFTDTAEQNIRYYEQCLATWESFLTSQTDLPSEEDSEEKL