Q9EXD2 AF NFT

Uncharacterized protein MPN_272

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib6w6jv5lpi5hqyq4yjixqdzlh3qvl7nmiifskb7x6gfwmhbntvzu/metadata.json
IPFS of structure file: 
bafybeibk75zikfseepj6nly4ajmb7edub5dzwdelqjka7rd3rbrxddx3zi/AF-Q9EXD2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #513476 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513476
Accession (UniProt):
Q9EXD2
Name::
Uncharacterized protein MPN_272
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 Q9EXD2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9EXD2|Y272_MYCPN Uncharacterized protein MPN_272 OS=Mycoplasma pneumoniae (strain ATCC 29342 / M129) OX=272634 GN=MPN_272 PE=4 SV=1 MNRPTPNFEAIDKKISAFVTNHDNLLDKLLKQQTELLTSEITTNFEVTQQIQEEVAKKTKQHSKNYKWLVTVVLANGVVSLFLLGGLIYLFSK