Q1J494 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibv35xuwnkxa6ns454a5s5htyn45fhjuix7i4f2ra3grs3epkttxe/metadata.json
IPFS of structure file: 
bafybeibz35ucjiveejry7qfrm2z6e3nyejjrnbuifd4pqyl6b7uctwyg3q/AF-Q1J494-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB93Fe2eFA4192A156339845A2c441375da46c92A
First NFT owner address (bech32): 
genesis1hyl79mayry4p2cees3dzc3qnwhdydjf25407s6
Current NFT ID #63586 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63586
Accession (UniProt):
Q1J494
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS PYOGENES SEROTYPE M4 (STRAIN MGAS10750)

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 Q1J494 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1J494|CINA_STRPF Putative competence-damage inducible protein OS=Streptococcus pyogenes serotype M4 (strain MGAS10750) OX=370554 GN=cinA PE=3 SV=1 MKAELIAVGTEILTGQIVNTNAQFLSEKMAELGIDVYFQTAVGDNEERLLSVITTASQRSDLVILCGGLGPTKDDLTKQTLAKYLRRDLVYDEQACQKLDDFFAKRKPSSRTPNNERQAQVIEGSIPLPNKTGLAVGGFITVDGISYVVLPGPPSELKPIVNEELVPLLSKQYSTLYSKVLRFFGIGESQLVTVLSDFIENQTDPTIAPYAKTGEVTLRLSTKTENQALADKKLGQLEAQLLSRKTLEGQPLADVFYGYGEDNSLARETFELLVKYDKSITAAESLTAGLFQSTLASFPGASQVFNGGFVTYSMEEKAKMLGLPLEELKSHGVVSAYTAEGMAEQARLLTGADIGVSLTGVAGPDMLEEQPAGTVFIGLATQNKVESIKVLISGRSRLDVCYIATLHAFNMVRKTLLKLENLL