Q8ZBV2 AF NFT

Uncharacterized response regulatory protein YPO3287/y0902/YP_0397

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiexpkqnjjdnb3ze5mccvlc3de3qkmt6llknihlhanmdygkronkk2i/metadata.json
IPFS of structure file: 
bafybeigke55bai2oi2pqkbhnqzmmq6rmw6fsuojanxogohfhajdkkhdbiu/AF-Q8ZBV2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x779b368283e79942739fEb126753AC2b434CE90e
First NFT owner address (bech32): 
genesis1w7dndq5ru7v5yuulavfxw5av9dp5e6gwcymwmf
Current NFT ID #514994 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514994
Accession (UniProt):
Q8ZBV2
Name::
Uncharacterized response regulatory protein YPO3287/y0902/YP_0397
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q8ZBV2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8ZBV2|Y3287_YERPE Uncharacterized response regulatory protein YPO3287/y0902/YP_0397 OS=Yersinia pestis OX=632 GN=YPO3287 PE=3 SV=3 MLRVIIVDDEQPAREDLRERLNEEHGIEIVAECSNALEAIPAIQRLQPDVVFLDIQMPRINGLELASMLNPESMPHIVFVTAYDEYAIRAFEEHAFDYLLKPLDHQRLAKTLTRLSRDLIVKNNLHKVIKPILRHIPCSGHNRIFLLKIEEVEYLSSELSGVHVVGTVQSGYTQLSLKTLEEKTPFIRCHRQYMVNTEQLGEIQLMDNGAAEVITRSGKHIPVSRRYLKSLKEKLGIA