Q9PQW7 AF NFT

Uncharacterized protein UU176

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4iua74gpzhrh5fx54vxeqapridm6ey2qo2jsqlvj52t3xxagnra/metadata.json
IPFS of structure file: 
bafybeia2w4yuhy7nkh354gvmfxcntsvuhxbffaru6wbztxzpoxcamqclri/AF-Q9PQW7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x196C286b0017BF4535E094dDd7e0ACAC05852e70
First NFT owner address (bech32): 
genesis1r9kzs6cqz7l52d0qjnwa0c9v4szc2tnsdnl3vr
Current NFT ID #509187 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
509187
Accession (UniProt):
Q9PQW7
Name::
Uncharacterized protein UU176
Experimental Method:
Predicted structure
Sequence source:
Ureaplasma parvum serovar 3 (strain ATCC 700970)

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 Q9PQW7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PQW7|Y176_UREPA Uncharacterized protein UU176 OS=Ureaplasma parvum serovar 3 (strain ATCC 700970) OX=273119 GN=UU176 PE=3 SV=1 MIYVLYSPNCAVCKKVVRFFRNNQIEITKIIIGEDKIERSMLLDILSLCEDGFGTIISFKTESSKRLNITSKTFLDLSTKELLNLIQNDLNLIRRPLIYQTKNNRPYRLQIGYDSEEIEIFKRAVHEK