Q9ZB72 AF NFT

Uncharacterized protein MG350.1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeierjhrynb2n4hurj5cgwny5t4qzbqkisxesby73duujotqt3xdvze/metadata.json
IPFS of structure file: 
bafybeia234o6fvmrq7yaecteob3tjed3ksrogetia5gy2xatwted3vj3ea/AF-Q9ZB72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #515566 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
515566
Accession (UniProt):
Q9ZB72
Name::
Uncharacterized protein MG350.1
Experimental Method:
Predicted structure
Sequence source:
MYCOPLASMA GENITALIUM (STRAIN ATCC 33530 / G-37 / NCTC 10195)

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 Q9ZB72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZB72|Y350A_MYCGE Uncharacterized protein MG350.1 OS=Mycoplasma genitalium (strain ATCC 33530 / G-37 / NCTC 10195) OX=243273 GN=MG350.1 PE=4 SV=1 MNGNKLVFLPKKSYHQLFNITFSAMMLALAIITSLISEFISIPFFSQLKLTFDISVVFLVACAFFVSLGWSLTITLASALTSFFWNTNNVIGVLTVTLANLSTILFTRLYFCLFSKRRFCWIFVFLFTTLSNALLLTTLNGILITPLFWYYFGYVQTPNFLIVAEQYNKNTDFHFFFFGINNYWLGIFCLYSFFNLVKFGLVSCFGVPIMRSFQKFYWKRALAK