Q8X6J8 AF NFT

Bifunctional protein Aas

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigfyuw3bma2sl4kfkp6de6p6vd3csh664kum7kdm4emaoo4wtnkgm/metadata.json
IPFS of structure file: 
bafybeiarsd64jhuizh6y7tjmz3a6ixtrugntvha6zi444upfiyhp5lu6ny/AF-Q8X6J8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01Ad51C82dd521245552f447f4fb0a71abB50C3B
First NFT owner address (bech32): 
genesis1qxk4rjpd65sjg42j73rlf7c2wx4m2rpmtyzzq2
Current NFT ID #2915 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
2915
Accession (UniProt):
Q8X6J8
Name::
Bifunctional protein Aas
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI O157:H7

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 Q8X6J8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8X6J8|AAS_ECO57 Bifunctional protein Aas OS=Escherichia coli O157:H7 OX=83334 GN=aas PE=3 SV=1 MLFSFFRNLCRVLYRVRVTGDPQALKGERVLITPNHVSFIDGILLGLFLPVRPVFAVYTSISQQWYMRWLKSFIDFVPLDPTQPMAIKHLVRLVEQGRPVVIFPEGRITTTGSLMKIYDGAGFVAAKSGATVIPVRIEGAELTHFSRLKGLVKRRLFPQITLHILPPTQVEMPDAPRARDRRKIAGEMLHQIMMEARMAVRPRETLYESLLSAMYRFGAGKKCVEDVNFTPDSYRKLLTKTLFVGRILEKYSVEGERIGLMLPNAGISAAVIFGAIARRRIPAMMNYTAGVKGLTSAITAAEIKTIFTSRQFLDKGKLWHLPEQLTQVRWVYLEDLKADVTTADKVWIFAHLLMPRLAQVKQQPEEEALILFTSGSEGHPKGVVHSHKSILANVEQIKTIADFTTNDRFMSALPLFHSFGLTVGLFTPLLTGAEVFLYPSPLHYRIVPELVYDRSCTVLFGTSTFLGHYARFANPYDFYRLRYVVAGAEKLQESTKQLWQDKFGLRILEGYGVTECAPVVSINVPMAAKPGTVGRILPGMDARLLSVPGIEEGGRLQLKGPNIMNGYLRVEKPGVLEVPTAENVRGEMERGWYDTGDIVRFDEQGFVQIQGRAKRFAKIAGEMVSLEMVEQLALGVSPDKVHATAIKSDASKGEALVLFTTDNELTRDKLQQYAREHGVPELAVPRDIRYLKQMPLLGSGKPDFVTLKSWVDEVEQHDE