Q06972 AF NFT | MOLNFT bioinformatics, blockchain

Flagellin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeib5fa3vtagvjlvm63utqgllg2a2z5amidog5jweghcbfz2z7lo324/metadata.json

IPFS of structure file:

bafybeibwjktmvu6n32l2n3ogbuaw2sbkfikfkfy4zunstae6ysevgx5kwu/AF-Q06972-F1-model_v2.pdb

First NFT owner address (eip-55):

0x79B29126Dc4f4fA95a507313353F0220340b8df6

First NFT owner address (bech32):

genesis10xefzfkufa86jkjswvfn20czyq6qhr0kk6hth2

Current NFT ID #132043 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
132043
Accession (UniProt):
Q06972
Name::
Flagellin
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA ENTERITIDIS

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 Q06972 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q06972|FLIC_SALEN Flagellin OS=Salmonella enteritidis OX=149539 GN=fliC PE=3 SV=2 MAQVINTNSLSLLTQNNLNKSQSSLSSAIERLSSGLRINSAKDDAAGQAIANRFTSNIKGLTQASRNANDGISIAQTTEGALNEINNNLQRVRELSVQATNGTNSDSDLKSIQDEIQQRLEEIDRVSNQTQFNGVKVLSQDNQMKIQVGANDGETITIDLQKIDVKSLGLDGFNVNGPKEATVGDLKSSFKNVTGYDTYAAGADKYRVDINSGAVVTDAAAPDKVYVNAANGQLTTDDAENNTAVDLFKTTKSTAGTAEAKAIAGAIKGGKEGDTFDYKGVTFTIDTKTGDDGNGKVSTTINGEKVTLTVADIATGATDVNAATLQSSKNVYTSVVNGQFTFDDKTKNESAKLSDLEANNAVKGESKITVNGAEYTANATGDKITLAGKTMFIDKTASGVSTLINEDAAAAKKSTANPLASIDSALSKVDAVRSSLGAIQNRFDSAITNLGNTVTNLNSARSRIEDADYATEVSNMSKAQILQQAGTSVLAQANQVPQNVLSLLR