B4U0I9 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiby2tdj47fekfh4zojrqhno6fpanvynqdbbffy5rt4htffurtgmku/metadata.json
IPFS of structure file: 
bafybeic76dckogdxycrfjfwdrewp6mh4c37ukyvpe5cuh7kbsf4azam5oq/AF-B4U0I9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #63572 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63572
Accession (UniProt):
B4U0I9
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Streptococcus equi subsp. zooepidemicus (strain MGCS10565)

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 B4U0I9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4U0I9|CINA_STREM Putative competence-damage inducible protein OS=Streptococcus equi subsp. zooepidemicus (strain MGCS10565) OX=552526 GN=cinA PE=3 SV=1 MKAELIAVGTEILTGQIVNTNAQFLSEKMAELGIDVYFQTAVGDNEERLLSVIDIASQRSDLVILCGGLGPTDDDLTKQTLAKYLGKALVFDEQAGQKLDTFFAHRKHTARTPNNQRQAQLIEGSVALQNQTGLAVGGLITVDGVTYVVLPGPPSELKPMVKNELVPLLSASHASLYSRVLRFFGIGESQLVTALEDLIKHQTDPTIAPYAKTGEVTLRLSTKADNQALADERLNRLEAQLLSIRTVDNQPLRRLLYGYGEDNSLARETFELLKRSGKTITAAESLTAGLFQAQLTDFAGASQVFNGGFITYSIEEKAKMLGIPLVELQRHGVVSSFTAEQMAAQARCLTNSDIGIGLTGVAGPEALEGQPAGTVFIGLATKNKVESLKVVIGGRSRLDVRYIAALYAFNMVRKALLKSENLL