P0CJ80 AF NFT

Uncharacterized protein MG074 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifeqghc5zsdjo3fsstsz5cek5fn5cuiflsen3dhyoyk4g7nufor2q/metadata.json
IPFS of structure file: 
bafybeidxxuvrmz7unu54vycqt24piughiiv7h4ed4twudgaanzcysoami4/AF-P0CJ80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #511061 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
511061
Accession (UniProt):
P0CJ80
Name::
Uncharacterized protein MG074 homolog
Experimental Method:
Predicted structure
Sequence source:
MYCOPLASMA PNEUMONIAE (STRAIN ATCC 29342 / M129)

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 P0CJ80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CJ80|Y212_MYCPN Uncharacterized protein MG074 homolog OS=Mycoplasma pneumoniae (strain ATCC 29342 / M129) OX=272634 GN=MPN_212 PE=4 SV=1 MRKLIKLNVIVFVLLYLGELFASLSFKLISCLKTRNQYSLNGYYALFVFVNIIQKMANSFQKLASSVVLFETEINEFLVLFTDTKNKREESEPVRQVSTTQEYHQVTLDQQHYFNHKLSDYFRLFKDKTFFFEII