Q0WBQ9 AF NFT

Iron-sulfur cluster insertion protein ErpA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifwhk3xvs6nkg5vlcduob46mnthfrhdfu5grnx3bb53fik2kjs4hu/metadata.json
IPFS of structure file: 
bafybeidb3dmdu37qutrfzvsos25mns3nhvnvmpenxtwwjsijyqlfok5m74/AF-Q0WBQ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #120283 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
120283
Accession (UniProt):
Q0WBQ9
Name::
Iron-sulfur cluster insertion protein ErpA
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 Q0WBQ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WBQ9|ERPA_YERPE Iron-sulfur cluster insertion protein ErpA OS=Yersinia pestis OX=632 GN=erpA PE=3 SV=1 MSNETVLPLQFTEAAAKKVKLLISDEENPNLKLRVYITGGGCSGFQYGFTFDDQVNDGDMTIEKQGVELVVDPMSLQYLVGGAVDYTEGLEGSRFIVTNPNAKSTCGCGSSFSI