C0MGB7 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigta6iuphu4u7w63hmkcxmrc7etybtxbbpgb4ypmktlmmp274xbya/metadata.json
IPFS of structure file: 
bafybeibg3p54v76olwugeribpx6ki7cda3v4ernarjbunmejwt6vzj5hbq/AF-C0MGB7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #63597 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63597
Accession (UniProt):
C0MGB7
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Streptococcus equi subsp. zooepidemicus (strain H70)

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 C0MGB7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0MGB7|CINA_STRS7 Putative competence-damage inducible protein OS=Streptococcus equi subsp. zooepidemicus (strain H70) OX=553483 GN=cinA PE=3 SV=1 MKAELIAVGTEILTGQIVNTNAQFLSEKMAELGIDVYFQTAVGDNEERLLSVIDIASQRSDLVILCGGLGPTDDDLTKQTLAKYLGKALVFDEQAGQKLDAFFAHRKQTARTPNNQRQAQLIEGSVALQNQTGLAVGGLITVDGVTYVVLPGPPSELKPMVKNELVPLLSASHASLYSRVLRFFGIGESQLVTALEDLIKYQTDPTIAPYAKTGEVTLRLSTKADHQALANERLDQLELQLLSIRTIDNQPLRRLLYGYGEDNSLARETFELLKRSGKTITAAESLTAGLFQAQLTDFAGASQVFNGGFITYSIEEKARMLGIPLVELQRHGVVSSFTAEQMAAQARCLTDSDIGIGLTGVAGPEELEEQPAGTVFIGLATKNKVESLKVVIGGRSRLDVRYIATLYAFNMVRKALLKSENLL