Q5X9H9 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiczzbqdtyxt5wiavtlimkim3unt4bo2xxf4zq6tsevur7fxndaijy/metadata.json
IPFS of structure file: 
bafybeiaetyuyfud6gq2uhso6ulaomiivuc57fexrm542miv3gtverwgmpa/AF-Q5X9H9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #63580 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63580
Accession (UniProt):
Q5X9H9
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M6 (strain ATCC BAA-946 / MGAS10394)

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 Q5X9H9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5X9H9|CINA_STRP6 Putative competence-damage inducible protein OS=Streptococcus pyogenes serotype M6 (strain ATCC BAA-946 / MGAS10394) OX=286636 GN=cinA PE=3 SV=1 MKAELIAVGTEILTGQIVNTNAQFLSEKMAELGIDVYFQTAVGDNEERLLSVITTASQRSDLVILCGGLGPTKDDLTKQTLAKYLRKDLVYDEQACQKLDDFFAKRKPSSRTPNNERQAQVIEGSIPLPNKTGLAVGGFITVDGISYVVLPGPPSELKSMVNEELVPLLSKQYSTLYSKVLRFFGVGESQLVTVLSDFIENQTDPTIAPYAKTGEVTLRLSTKTENQALADKKLGQLEAQLLSRKTLEGQPLADVFYGYGEDNSLARETFELLVKYDKTITAAESLTAGLFQSTLASFPGASQVFNGGFVAYSMEEKAKMLGLPLEELKSHGVVSAYTAEGMAEQARLLTGADIGVSLTGVAGPDMLEEQPAGTVFIGLATQTKVESIKVLISGQSRLDVRYIATLHAFNMVRKTLLKLENLL