Q06973 AF NFT

Flagellin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmtt62iy23huuobz26x5t76xvpd6xwvri6lg2c3ecwg2ronqsagm/metadata.json
IPFS of structure file: 
bafybeifyffk2qojy24oqhdggxj7skzt6f6jiqnnknza7icfh47mfpze25q/AF-Q06973-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x70cB7fb40A2dcEd575CF6998DfBC187da701eAcD
First NFT owner address (bech32): 
genesis1wr9hldq29h8d2aw0dxvdl0qc0knsr6kdqga5tn
Current NFT ID #132045 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132045
Accession (UniProt):
Q06973
Name::
Flagellin
Experimental Method:
Predicted structure
Sequence source:
Salmonella montevideo

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 Q06973 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q06973|FLIC_SALMO Flagellin OS=Salmonella montevideo OX=115981 GN=fliC PE=3 SV=2 MAQVINTNSLSLLTQNNLNKSQSSLSSAIERLSSGLRINSAKDDAAGQAIANRFTSNIKGLTQASRNANDGISIAQTTEGALNEINNNLQRVRELSVQATNGTNSDSDLKSIQDEIQQRLEEIDRVSNQTQFNGVKVLSQDNQMKIQVGANDGETITIDLQKIDVKSLGLDGFNVNGPKEATVGDLKSSFKNVTGYDTYAAGANKYRVDINSGAVVTDDAAPDKVYVNAANGQLTTDDAENNTAVNLFKTTKSAAGTDEAKAIAGAIKGGKEGDTFDYKGVTFTIDTKTGDDGNGKVSTTINGEKVTLTVADIATGATDVNAATLQSSKNVYTSVVNGQFTFDDKTKNESAKLSDLEANNAVKGESKITVNGAEYTANAAGDKVTLAGKTMFIDKTASGVSTLINEDAAAAKKSTANPLASIDSALSKVDAVRSSLGAIQNRFDSAITNLGNTVTNLNSARSRIEDADYATEVSNMSKAQILQQAGTSVLAQANQVPQNVLSLLR