Q8X638 AF NFT

Uncharacterized transporter YdhK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigodmuhked3v7iymxdgqmmxw5fwg5adjbaizq6hyss37npy36rbsa/metadata.json
IPFS of structure file: 
bafybeic3p3qy3xukds356rcg7cw7etcaaysrkvzgez3rzk5wxybadmnhzy/AF-Q8X638-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe7A39a297c751eb3d713a8E132bE08c0A9aCaFA2
First NFT owner address (bech32): 
genesis1u73e52tuw50t84cn4rsn90sgcz56etazutee6x
Current NFT ID #528541 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
528541
Accession (UniProt):
Q8X638
Name::
Uncharacterized transporter YdhK
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI O157:H7

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 Q8X638 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8X638|YDHK_ECO57 Uncharacterized transporter YdhK OS=Escherichia coli O157:H7 OX=83334 GN=ydhK PE=3 SV=1 MNASSWSLRNLPWFRATLAQWRYALRNTIAMCLALTVAYYLNLDEPYWAMTSAAVVSFPTVGGVISKSLGRIAGSLLGAIAALLLAGHTLNEPWFFLLSMSAWLGFCTWACAHFTNNVAYAFQLAGYTAAIIAFPMVNITEASQLWDIAQARVCEVIVGILCGGMMMMILPSSSDATALLTALKNMHARLLEHASLLWQPETTDAIRAAHEGVIGQILTMNLLRIQAFWSHYRFRQQNARLNALLHQQLRMTSVISSLRRMLLNWPSPPGATREILEQLLTALASSQTDVYTVARIIAPLRPTNVADYRHVAFWQRLRYFCRLYLQSSQELHRLQSDVDDHARLPRTSGLARHTDNAEAMWSGLRTFCTLMMIGAWSIASQWDAGANALTLAAISCVLYSAVAAPFKSLSLLMRTLVLLSLFSFVVKFGLMVQISDLWQFLLFLFPLLATMQLLKLQMPKFAALWGQLIVFMGSFIAVTNPPVYNFADFLNDNLAKIVGVALAWLAFAILRPGSDARKSRRHIRALRRDFVDQLSRHPTLSESEFESLTYHHVSQLSNSQDALARRWLLRWGIVLLNCSHVVWQLRDWESRSDPLSRVRDNCISLLRGVMSERGVQQKSLAATLEELQRICDSLARHHQPAARELAAIVWRLYCSLSQLEQAPPQGTLAS