Q06981 AF NFT | MOLNFT bioinformatics, blockchain

Flagellin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidblhu4ludjohaaaglkydhhywhc7h2gvvioscqi2towidnsqbdisu/metadata.json

IPFS of structure file:

bafybeifm7t7wmuc6czlm256dqn4xp53utdtkhkofgcg5zd66rnrp4tva3q/AF-Q06981-F1-model_v2.pdb

First NFT owner address (eip-55):

0xf5567289a402247712A16D11AE2AE49A271D7451

First NFT owner address (bech32):

genesis174t89zdyqgj8wy4pd5g6u2hyngn36az3gvkhqv

Current NFT ID #132044 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
132044
Accession (UniProt):
Q06981
Name::
Flagellin
Experimental Method:
Predicted structure
Sequence source:
Salmonella moscow

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 Q06981 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q06981|FLIC_SALMC Flagellin OS=Salmonella moscow OX=28146 GN=fliC PE=3 SV=2 MAQVINTNSLSLLTQNNLNKSQSSLSSAIERLSSGLRINSAKDDAAGQAIANRFTSNIKGLTQASRNANDGISIAQTTEGALNEINNNLQRVRELSVQATNGTNSDSDLKSIQDEIQQRLEEIDRVSNQTQFNGVKVLSQDNQMKIQVGANDGETITIDLQKIDVKSLGLDGFNVNGPKEATVGDLKSSFKNVTGYDTYAAGADKYRVDINSGAVVTDAAAPDKVYVNAANGQLTTDDAENNTAVDLFKTTKSTAGTAEAKAIAGAIKGGKEGDTFDYKGVTFTIDTKTGDGGNGKVSTTINGEKVTLTVADIATGATNVNAATLQSSKNVYTSVVNGQFTFDDKTKNESAKLSDLEANNAVKGESKITVNGAEYTANATGDKITLAGKTMFIDKTASGVSTLINEDAAAAKKSTANPLASIDSALSKVDAVRSSLGAIQNRFDSAITNLGNTVTNLNSARSRIEDADYATEVSNMSKAQILQQAGTSVLAQANQVPQNVLSLLR