P0DM79 AF NFT

PhoP/PhoQ regulator MgrB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihfzavs6qgmhopjesdkpt6nqczxf2sbeqppzazm7ktkpfycozl3gi/metadata.json
IPFS of structure file: 
bafybeiepttuk6x65atbm6qj3yrpkqlaodk6qt2v33qew4operpwmq3mtey/AF-P0DM79-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6F47Fabc393491FcD43DDf40db50812b2b77cfF0
First NFT owner address (bech32): 
genesis1darl40pexjgle4pamaqdk5yp9v4h0nlsxxf5m5
Current NFT ID #233222 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
233222
Accession (UniProt):
P0DM79
Name::
PhoP/PhoQ regulator MgrB
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 P0DM79 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DM79|MGRB_YERPE PhoP/PhoQ regulator MgrB OS=Yersinia pestis OX=632 GN=mgrB PE=3 SV=1 MLDLNITKLVTTVVIIAACCLFYLLALDSYCDQGGTFSTGICAITTIVPW