Q9RQ30 AF NFT

Fatty acid resistance protein FarA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiccudrh4dnjo4nv3kgjczjxlkshie7dql3hue63ywdbw5wt2gkoji/metadata.json
IPFS of structure file: 
bafybeifwmzqsjo5lkluqkiczdhgu3m4ztmy7mnimhs7ji6zhkmpbscy5oi/AF-Q9RQ30-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2E7853F600caf0B93109Bd82A4F48D84b36cE0c4
First NFT owner address (bech32): 
genesis19eu98asqetctjvgfhkp2faydsjekecxymd3xqg
Current NFT ID #126686 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
126686
Accession (UniProt):
Q9RQ30
Name::
Fatty acid resistance protein FarA
Experimental Method:
Predicted structure
Sequence source:
NEISSERIA GONORRHOEAE

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 Q9RQ30 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RQ30|FARA_NEIGO Fatty acid resistance protein FarA OS=Neisseria gonorrhoeae OX=485 GN=farA PE=1 SV=1 MKSGNSEPNLMETHTDETKLQNTQVKRKRRLTALTLLFALSAAAAGSAFFLWWQHEEETEDAYVAGRVVQVTPQKGGTVRKVLHDDTDAVKKGDVLAVLDDDNDVLAYERAKNELVQAVRQNRRQNAATSQAGAQVALRRADLARAQDDLRRRSALAESGAVSAEELAHARTAVSQAQAAVKAALAEESSARAALGGDVSLREQPEVQTAIGRLKDAWLNLRRTQVRAPADGQVAKRSVQVGQQVAAGAPLMAVVPLSDVWVDANFKETQLRHMKIGQPAELVSDLYGKQIVYRGRVAGFSAGTGSAFSLIPAQNATGNWIKVVQRVPVRIVLNREDVDRHPLRIGLSMTVKVDTSAAGAPVSKTPGAALPEMESTDWSEVDRTVDEILGQSAP