Q1J9C6 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic7xx3dyvkpc5tcbkhmcscmipdo5e45dvucdhfjykaznwgry354x4/metadata.json
IPFS of structure file: 
bafybeid7bl4rgef5nbc3vckongkohwxzaxbxppkxn2hg2tjzbbufcvn2s4/AF-Q1J9C6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA89f05e8B410d903A7A962FDDa2fC551E1DB84C9
First NFT owner address (bech32): 
genesis14z0st695zrvs8fafvt7a5t7928sahpxfv2e79u
Current NFT ID #63583 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63583
Accession (UniProt):
Q1J9C6
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M12 (strain MGAS2096)

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 Q1J9C6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1J9C6|CINA_STRPB Putative competence-damage inducible protein OS=Streptococcus pyogenes serotype M12 (strain MGAS2096) OX=370553 GN=cinA PE=3 SV=1 MKAELIAVGTEILTGQIVNTNAQFLSEKMAELGIDVYFQTAVGDNEERLLSVITTASQRSDLVILCGGLGPTKDDLTKQTLAKYLRKDLVYDEQACQKLDDFFAKRKPSSRTPNNERQAQVIEGSIPLPNKTGLAVGGFITVDGISYVVLPGPPSELKSMVNEELVPLLSKQYSTLYSKVLRFFGVGESQLVTVLSDFIENQTDPTIAPYAKTGEVTLRLSTKTENQALADKKLGQLEAQLLSRKTLEGQPLADVFYGYGEDNSLARETFELLVKYDKTITAAESLTAGLFQSTLASFPGASQVFNGGFVAYSMEEKAKMLGLPLEELKSHGVVSAYTAEGMAEQARLLTGADIGVSLTGVAGPDMLEEQPAGTVFIGLATQNKVESIKVLISGRSRLDVRYIATLHAFNMVRKTLLKLENLL