P0C0P3 AF NFT

Ferric uptake regulation protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihdqzrb2gwvxnk5mg4d3pxp7i4uv6bq6ogvobs74a7w6kadrw5t7m/metadata.json
IPFS of structure file: 
bafybeifkzbbtmxzsc3et42qqta25puemnrtercp3sgioyqbouqj6m7n4jq/AF-P0C0P3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc747B9121c6447a3B7701F18EEF77222C7A174F2
First NFT owner address (bech32): 
genesis1carmjysuv3r68dmsruvwaamjytr6za8j6ynh5e
Current NFT ID #138357 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
138357
Accession (UniProt):
P0C0P3
Name::
Ferric uptake regulation protein
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS

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 P0C0P3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C0P3|FUR_STAEP Ferric uptake regulation protein OS=Staphylococcus epidermidis OX=1282 GN=fur PE=3 SV=1 MNTNDAIKILKDNGLKYTDKRKDMLDIFVEEDKYLNAKHIQQKMDKDYPGISFDTVYRNLHLFKDLGIIESTELEGEMKFRIACTNHHHHHFICENCGDTKVIDFCPIEQIKQYLPNVTIHTHKLEVYGVCESCQKNA