Q06982 AF NFT

Flagellin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiczq7zxgfuochyutgcprzeww5zs2basfdj557z6pi5oxwlh4poy2i/metadata.json
IPFS of structure file: 
bafybeibwvjwe4ynpfqkutmimdsguy3ih5joehrdxk463dvzqlllzwxachm/AF-Q06982-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79C8eac7b0A7F48c5Dc63A746EA9A516335a21cf
First NFT owner address (bech32): 
genesis108yw43as5l6gchwx8f6xa2d9zce45gw0u50n4s
Current NFT ID #132050 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132050
Accession (UniProt):
Q06982
Name::
Flagellin
Experimental Method:
Predicted structure
Sequence source:
Salmonella rostock

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 Q06982 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q06982|FLIC_SALRO Flagellin OS=Salmonella rostock OX=28149 GN=fliC PE=3 SV=2 MAQVINTNSLSLLTQNNLNKSQSSLSSAIERLSSGLRINSAKDDAAGQAIANRFTSNIKGLTQASRNANDGISIAQTTEGALNEINNNLQRVRELSVQATNGTNSDSDLKSIQDEIQQRLEEIDRVSNQTQFNGVKVLSQDNQMKIQVGANDGETITIDLQKIDVKSLGLDGFNVNGPKEATVGDLKSSFKNVTGYDTYAAGADKYRVDINSGAVVTDAVAPDKVYVNAANGQLTTDDAENNTAVDLFKTTKSTAGTAEAKAIAGAIKGGKEGDTFDYKGVTFTIDTKTGDDGNGKVSTTINGEKVTLTVADIGIGAADVNAATLQSSKNVYTSVVNGQFTFDDKTKNESAKLSDLEANNAVKGESKITVNGAEYTANATGDKITLAGKTMFIDKTASGVSTLINEDAAAAKKSTANPLASIDSALSKVDAVRSSLGAIQNRFDSAITNLGNTVTNLNSARSRIEDADYATEVSNMSKAQILQQAGTSVLAQANQVPQNVLSLLR