Q06970 AF NFT | MOLNFT bioinformatics, blockchain

Flagellin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigjun7ja3pxldd7e6ufwdkaznwqrfdpwrgdgqrms3l2mybzhocike/metadata.json

IPFS of structure file:

bafybeihoouhjkfixtqx4sv7dl263anv7hhao4lk5n3ei52hqnvalrorqx4/AF-Q06970-F1-model_v2.pdb

First NFT owner address (eip-55):

0x2e8Fbb947b0Bc2a2DB44100d3D43354e3aA89cEA

First NFT owner address (bech32):

genesis1968mh9rmp0p29k6yzqxn6se4fca23882catemn

Current NFT ID #132041 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
132041
Accession (UniProt):
Q06970
Name::
Flagellin
Experimental Method:
Predicted structure
Sequence source:
Salmonella derby

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 Q06970 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q06970|FLIC_SALDE Flagellin OS=Salmonella derby OX=28144 GN=fliC PE=3 SV=2 MAQVINTNSLSLLTQNNLNKSQSSLSSAIERLSSGLRINSAKDDAAGQAIANRFTSNIKGLTQASRNANDGISIAQTTEGALNEINNNLQRVRELSVQATNGTNSDSDLKSIQDEIQQRLEEIDRVSNQTQFNGVKVLSQDNQMKIQVGANDGETITIDLQKIDVKSLGLDGFNVNGPKEATVGDLKSSFKNVTGYDTYAAGADKYRVDINSGAVVTDAVAPNKVYVNAANGQLTTDDAENNTAVDLFKTTKSTAGTAEAKAIAGAIKGGKEGDTFDYKGVTFTIDTKTGNDGNGKVSTTINGEKVTLTVADITGGAANVDAATLQSSKNVYTSVVNGQFTFDDKTKNESAKLSDLEANNAVKGESKITVNGAEYTANATGDKVTLAGKTMFIDKTASGVSTLINEDAAAAKKSTANPLASIDSALSKVDAVRSSLGAIQNRFDSAITNLGNTVTNLNSARSRIEDADYATEVSNMSKAQILQQAGTSVLAQANQVPQNVLSLLR