Q83JS7 AF NFT

Uncharacterized protein YqgB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiddkmyvinex4jcdatpvet2guz2uyaosnozarzqeukx4juih3z43we/metadata.json
IPFS of structure file: 
bafybeiguq6srirg6ohd5u7c7aeyrxuyfr2cwdf43qgg5y5rdqksll2spbe/AF-Q83JS7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeB220F0B5b0C48F46B5DDd3E3b071BC0827f8D6
First NFT owner address (bech32): 
genesis1h6ezpu94krzg7344mhf78vr3hsyz07xk78k92g
Current NFT ID #536997 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
536997
Accession (UniProt):
Q83JS7
Name::
Uncharacterized protein YqgB
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 Q83JS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83JS7|YQGB_SHIFL Uncharacterized protein YqgB OS=Shigella flexneri OX=623 GN=yqgB PE=3 SV=2 MKKKPVAQSERQHTLLENPCAYGLLSQFQAATVVNCFTLNKII