Q54QU8 AF NFT

Probable zinc transporter protein DDB_G0283629

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaqs35ojtiid7zejqrp2geieyvelnsxl7qgikmhgfq2inzc6t7jsy/metadata.json
IPFS of structure file: 
bafybeicqdqtzerhde3tzmpnen5ll4mok57khkfaecbdbkar643fm7te2ba/AF-Q54QU8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb705744687519b812661Be330f949FD78B08aBc5
First NFT owner address (bech32): 
genesis1kuzhg3582xdczfnphcesl9yl679s3279ywn7la
Current NFT ID #515859 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
515859
Accession (UniProt):
Q54QU8
Name::
Probable zinc transporter protein DDB_G0283629
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54QU8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54QU8|Y3629_DICDI Probable zinc transporter protein DDB_G0283629 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0283629 PE=3 SV=1 MENFKNNELESSPIINKNNSSHSINNEDNNYYSHNLEHNDNNNNDNNNTITNSHINNHDHKHNHEHEHKHKHNHDHNHDHDHNHEEEYGHGNELEHNNDQEHNVGNKNLLTNNNNQSKKKKHGHSHGGGEDGSSSGGGGGRHGHGHSHGGGSGSDHNHGSSDEDDEESKPLNQLRNLDSKKKARYSLILALTLTTIFMVGEIVGGYFANSLAIMTDAAHLLTDIGAMFLSLFAMWISQHPPTSSMSFGFHRAEILGALVSVLMIWALTGVLVYEAIQRILYPPDAVDGKIMFIIASCGLFINIIDAIILHWGSGGHGHSHGGGHGHSHGIGGGTQKKKSKKNRLLNNQGQDIEDLGGENGKNKKGVRNINVHSAYIHVLGDCFQSIGVMVASCIIWVHPHWKIADPITTLIFSVIVLGTTIKLLRESLGVLMEGVPPEIDVSEVKGDLSEIEGVTEVHDLHIWSITLGRPALSVHLTILPTIDPEEILSIANKILLEDYEINHTTIQIEKPLVKDKCKDHSCPPPKPKKKKIKNDNLSSPPNQ