Q9X6P2 AF NFT

Adhesin MafA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiekjgrb5b5rr64jsmxgy3uaxlper6egizqrqroyh65aulsfuc3774/metadata.json
IPFS of structure file: 
bafybeicpxlsqvj4czdafathckok57a44uep5bi6umdl3mueakxwimelvme/AF-Q9X6P2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBc1585a11fb9d79F7571beAD3eDf8A0661969Ae0
First NFT owner address (bech32): 
genesis1hs2ctgglh8te7at3h6knahu2qesedxhqmdfl8n
Current NFT ID #223446 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
223446
Accession (UniProt):
Q9X6P2
Name::
Adhesin MafA
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 Q9X6P2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9X6P2|MAFA_NEIGO Adhesin MafA OS=Neisseria gonorrhoeae OX=485 GN=mafA PE=3 SV=1 MRARLLIPILFSVFILSACGTLTGIPSHGGGKRFAVEQELVAASARAAVKDMDLQALHGRKVALYIATMGDQGSGSLTGGRYSIDALIRGEYINSPAVRTDYTYPRYETTAETTSGGLTGLTTSLSTLNAPALSRTQSDGSGSRSSLGLNIGGMGDYRNETLTTNPRDTAFLSHLVQTVFFLRGIDVVSPANADTDVFINIDVFGTIRNRTEMHLYNAETLKAQTKLEYFAVDRTNKKLLIKPKTNAFEAAYKENYALWMGPYKVSKGIKPTEGLMVDFSDIRPYGNHTGNSAPSVEADNSHEGYGYSDEAVRQHRQGQP