P0DA26 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabuo75lvo5qdgqpc66kph7pufqlhbegibsujgyw4o7iafqtico4q/metadata.json
IPFS of structure file: 
bafybeibjo5d3f5cfgad4bwhhu5rbtt53gro35wbl6y42wkb77nq6bwjbzi/AF-P0DA26-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3aEE739629077DbA5E2D0D9F4655D362a335420a
First NFT owner address (bech32): 
genesis18th8893fqa7m5h3dpk05v4wnv23n2ss2qvwkrl
Current NFT ID #63578 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63578
Accession (UniProt):
P0DA26
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M3 (strain ATCC BAA-595 / MGAS315)

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 P0DA26 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DA26|CINA_STRP3 Putative competence-damage inducible protein OS=Streptococcus pyogenes serotype M3 (strain ATCC BAA-595 / MGAS315) OX=198466 GN=cinA PE=3 SV=1 MKAELIAVGTEILTGQIVNTNAQFLSEKMAELGIDVYFQTAVGDNEERLLSVITTASQRSDLVILCGGLGPTKDDLTKQTLAKYLRRDLVYDEQACQKLDDFFAKRKPSSRTPNNERQAQVIEGSIPLPNKTGLAVGGFITVDGISYVVLPGPPSELKPMVNEELVPLLSKQYSTLYSKVLRFFGIGESQLVTVLSDFIENQTDPTIAPYAKTGEVTLRLSTKTENQALADKKLGQLEAQLLSRKTLEGQPLADVFYGYGEDNSLARETFELLVKYDKSITAAESLTAGLFQSTLASFPGASQVFNGGFVTYSMEEKAKMLGLPLEELKSHGVVSAYTAEGMAEQARLLTGADIGVSLTGVAGPDMLEEQPAGTVFIGLATQNKVESIKVLISGRSRLDVCYIATLHAFNMVRKTLLKLENLL