B5F3Q2 AF NFT

PhoP/PhoQ regulator MgrB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6wnluxh4pnjuezem64tsybcyvbd7oruosorb2ze7kpn5zmc3wdu/metadata.json
IPFS of structure file: 
bafybeihagwilywbqp5i7v2e3dcvnogob57qud34t75zznx3xuptxwdljgm/AF-B5F3Q2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD6405a3FdE14968240b76e4f9AE6d0CA1919f533
First NFT owner address (bech32): 
genesis16eq95077zjtgys9hde8e4eksegv3nafnptnw3l
Current NFT ID #233200 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
233200
Accession (UniProt):
B5F3Q2
Name::
PhoP/PhoQ regulator MgrB
Experimental Method:
Predicted structure
Sequence source:
Salmonella agona (strain SL483)

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 B5F3Q2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5F3Q2|MGRB_SALA4 PhoP/PhoQ regulator MgrB OS=Salmonella agona (strain SL483) OX=454166 GN=mgrB PE=3 SV=1 MKKFRWVVLGIVVVVCLLLWAQVFNIMCDQDVQFFSGICAINKFIPW