Q56894 AF NFT

Flagellar basal-body rod protein FlgC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepq7yllugbgsag7vsit7e3vvx3do7w6pysmy57csnif4guayosqy/metadata.json
IPFS of structure file: 
bafybeidumo23au6f3fgp3ggpnzcs4423fedg6x5nidauqpk5b7aqiacemm/AF-Q56894-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB84c6bF83efbD8C707aB3a93451885A7006BE0f7
First NFT owner address (bech32): 
genesis1hpxxh7p7l0vvwpat82f52xy95uqxhc8hpq9pxy
Current NFT ID #131424 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
131424
Accession (UniProt):
Q56894
Name::
Flagellar basal-body rod protein FlgC
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA

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 Q56894 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q56894|FLGC_YEREN Flagellar basal-body rod protein FlgC OS=Yersinia enterocolitica OX=630 GN=flgC PE=3 SV=1 MSLLNIFDIAGSALSAQSQRLNVSASNMANADSVTGPDGQPYRAKQVVFQVAAQPGQETGGVRVAQIIDDPAPDRLVFQPGNPLADAKGYVRMPNVDVTGEMVNTISASRSYQANVEVLNTTKSLMLKTLTLGQ