Q0WFT9 AF NFT

Iron uptake system component EfeO

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicx2qgqdqn3pmwsxuwoh4vwbhiiftsma35muh6oqbpedxmh76qh2a/metadata.json
IPFS of structure file: 
bafybeifmolq6j4cz34im2ilhqef2hhpmcfms2kyfqtgw5pwv2ulxx6suwy/AF-Q0WFT9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5fAc844F3eB0603C2D36eF1eFC4Ec1afF91AF3C9
First NFT owner address (bech32): 
genesis1t7kggne7kpsrctfkau00cnkp4lu34u7fk9pnkw
Current NFT ID #110952 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
110952
Accession (UniProt):
Q0WFT9
Name::
Iron uptake system component EfeO
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q0WFT9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WFT9|EFEO_YERPE Iron uptake system component EfeO OS=Yersinia pestis OX=632 GN=efeO PE=1 SV=1 MSIWFFRRTALHAALLSLPVFAISAQAADIQQVKITVNDKQCEPMALTVPAGKTQFIVHNVSQKGLEWEILKGVMVVEERENIAPGFTQKMTANLEPGEYDMTCGLLSNPKGKLTVTVAAGEQAPVKPDAMALVGPIAEYKVYVTQEVAQLVSQTKAFTDAVKAGDLALARKLYAPTRQHYERIEPIAELFSDLDGSIDAREDDFEQKSADPKFTGFHRLEKILFGDNTTKGADKFADLLYQDTLELQKRIAGLTFAPNKVVGGAAGLIEEVAASKISGEEDRYSRTDLWDFQANVDGAQKIVNLLRPLLEKADKPLLQKIDANFNTVDSVLAKYRTKEGYESYEKLTDADRNAMKGPITALAEDLAQLRGVLGLD