P35633 AF NFT

Flagellin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicms5rw2l7ztvjzzr3pvarzxmair2rn5nvzzphogc4tth627b2tyu/metadata.json
IPFS of structure file: 
bafybeid735ncji6lsllc6yij6j73vsxwzy5xw4n674knuylswbg4aqrxwm/AF-P35633-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xae054cbc2D5e0001612ed00053bEBADa21F94E05
First NFT owner address (bech32): 
genesis14cz5e0pdtcqqzcfw6qq98046mgsljns985m3ny
Current NFT ID #131120 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
131120
Accession (UniProt):
P35633
Name::
Flagellin
Experimental Method:
Predicted structure
Sequence source:
Bartonella bacilliformis

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 P35633 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P35633|FLA1_BARBA Flagellin OS=Bartonella bacilliformis OX=774 PE=3 SV=2 MGSSILTNRSAMTALQTLRNIDNNLDKSKDRISTGLRIGSASDNTAYWSISSMMKHDSNTMSAVVDAINLGREQVNVAATAVNLTKESLDDIQKSMVSAREKSDDDIMKIQDSIKGNMQNISNAIQSAAFGGKNILSNGGEKVGIAAGYRREGSAVYVDMIEVGGAELNFGVMGPDGTIDMTQGILKGVFGKSDKDIDAGIKTFTEAADKQKGLEDALAKAEAAVAANPNDEAAKTALEEAKKAVEDNKEDWTKAQSDFKVVADSMTLNDFVQMQGVGGLPSVAQSIILNSVQKTVRHAVDVTLTAGSKIGSAVNQVDSQLNFVKRLLDNIEAGIGALVDADMNAESAKLSALQVQQQLGIPRLFLLQIRAARIF