Q663U4 AF NFT

Protein FdhE homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibxnaa4z5ejcjigw5uqxaym6ybyqybbajuoi7axplmfmbojdbccdu/metadata.json
IPFS of structure file: 
bafybeih46fzniervnqh37grnburx7visszu5lm5lalezhqgwalgauf6nh4/AF-Q663U4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE108c5E82F4C596552135330aBFC1346d29F26DD
First NFT owner address (bech32): 
genesis1uyyvt6p0f3vk25sn2vc2hlqngmff7fkaptnp5f
Current NFT ID #128371 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
128371
Accession (UniProt):
Q663U4
Name::
Protein FdhE homolog
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q663U4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q663U4|FDHE_YERPS Protein FdhE homolog OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=fdhE PE=3 SV=1 MSIRIVPKDQLGKQREKGTTAGNIPPLLFANLKSLYTRRTERLQQLALDNPLADYLDFAAKITEAQQKALHDHPLVLDMQAELVQSAASGKPPLDGSVFPRTEHWRKLLSALIAELRHDAPDHILAVLDNLDKASVHELELYADALLNRDFSQVGSEKAPFIWAALSLYWAQMASQIPGKARAEYGEHRQFCPVCGSIPVSSVVHIGTHNGLRYLHCNLCESEWHVVRIKCSNCEQTRDLNYWSLDSELAAVKAESCGDCGTYLKILYQEKDPQVEAVADDLASLILDAKMEGEGFARSSINPFLFPGE