Q8Y793 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgevtv7ukn6bzkweijoxiu2bksstlbslmz4btdvy6efovaf6y4l4/metadata.json
IPFS of structure file: 
bafybeidnf5244q5ypfu37wbgk2u3wnz4xjmbnfxujetnckfikpfbruppwu/AF-Q8Y793-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #63560 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63560
Accession (UniProt):
Q8Y793
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
LISTERIA MONOCYTOGENES SEROVAR 1/2A (STRAIN ATCC BAA-679 / EGD-E)

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 Q8Y793 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8Y793|CINA_LISMO Putative competence-damage inducible protein OS=Listeria monocytogenes serovar 1/2a (strain ATCC BAA-679 / EGD-e) OX=169963 GN=cinA PE=3 SV=1 MASAEIIAVGTELLLGQIVNSNAAFISQELAADGIYVYHHTVVGDNPTRLKEVIEIAEKRSDILIFTGGLGPTEDDITKQILADHLQKQLVEDEYHMNKINEYFASRNRTMTENNKLQAVIIKDSVVLNNDYGFAAGMYLKENNHTYVLLPGPPSEMKPMFTKYANPLLLSENGNQNILESKIMRFFGIGESQLAADLNDLIVNQVNPTIATYAGDNEVVVRITATAKTKEEASSLVKDTEEEILRRDGTFLYGYGEVSLPELVTAMLLEKELTISAAESFTAGLFQAEIARFPGISKIFKGGMVTYSEETKQSILQVSPQVIKEKGVVSAECAKEMAENVSRLCKTDIGISFTGVAGPDSLEGHPAGTIWIGLSVKGHETEAFQFVYGRDRNHNRRRAVKQGFQLIKQFLDAN