P0A1K2 AF NFT

Flagellar FliJ protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicetvyyf4k6etm4f4vxows6wxhxcakuzyhotxrvhn2eezikbfx7yi/metadata.json
IPFS of structure file: 
bafybeihyktn3ldewfkdcjullho6fijebq37hm4bgurcaguvtu4od6v56gq/AF-P0A1K2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #132288 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132288
Accession (UniProt):
P0A1K2
Name::
Flagellar FliJ protein
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHI

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 P0A1K2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A1K2|FLIJ_SALTI Flagellar FliJ protein OS=Salmonella typhi OX=90370 GN=fliJ PE=3 SV=1 MAQHGALETLKDLAEKEVDDAARLLGEMRRGCQQAEEQLKMLIDYQNEYRSNLNTDMGNGIASNRWINYQQFIQTLEKAIEQHRLQLTQWTQKVDLALKSWREKKQRLQAWQTLQDRQTAAALLAENRMDQKKMDEFAQRAAMRKPE