Q06969 AF NFT

Flagellin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiakws2wusevtbhanb4bsoh44ecrbupedisbzfnybdar5lngqvcoue/metadata.json
IPFS of structure file: 
bafybeicufibrs75ipcwmgrc3urayu3g5nibajpulfeo75d6st4r4zo2zpy/AF-Q06969-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3F7c838ccc23133e72aA1c8841D2c157C4B4810a
First NFT owner address (bech32): 
genesis18a7g8rxvyvfnuu42rjyyr5kp2lztfqg2vyg6mc
Current NFT ID #132039 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132039
Accession (UniProt):
Q06969
Name::
Flagellin
Experimental Method:
Predicted structure
Sequence source:
Salmonella budapest

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 Q06969 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q06969|FLIC_SALBU Flagellin OS=Salmonella budapest OX=28143 GN=fliC PE=3 SV=2 MAQVINTNSLSLLTQNNLNKSQSSLSSAIERLSSGLRINSAKDDAAGQAIANRFTSNIKGLTQASRNANDGISIAQTTEGALNEINNNLQRVRELSVQATNGTNSDSDLKSIQDEIQQRLEEIDRVSNQTQFNGVKVLSQDNQMKIQVGANDGETITIDLQKIDVKSLGLDGFNVNGPKEATVGDLKSSFKNVTGYDTYAAGADKYRVDINSGAVVTDAAAPDKVYVNAANGQLTTDDAENNTAVNLFKTTKSTAGTDEAKAIAGAIKGGKEGDTFDYKGVSFTIDTKAGNDGNGTVSTTINGEKVTLTVADITAGAANVNDATLQSSKNVYTSVVNGQFTFDDKTKNESAKLSDLEANNAVKGESKITVNGAEYTANAAGDKVTLAGKTMFIDKTASGVSTLINEDAAAAKKSTANPLASIDSALSKVDAVRSSLGAIQNRFDSAITNLGNTVTNLNSARSRIEDADYATEVSNMSKAQILQQAGTSVLAQANQVPQNVLSLLR