O31943 AF NFT

SPbeta prophage-derived uncharacterized HTH-type transcriptional regulator YonR

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4bpxc54n4dq3lkztz7o7l7dg2rxbpomvaaaqcksjx6nawolye7q/metadata.json
IPFS of structure file: 
bafybeifelnpsvufysrh477mazzrjbn442llqn6qmy3btt4jiaey3ao3awy/AF-O31943-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9aD208242de9c7C25e2FbA3404A2bA0A5f6c2Eac
First NFT owner address (bech32): 
genesis1ntfqsfpda8ruyh30hg6qfg46pf0kct4vv8sx4x
Current NFT ID #535942 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
535942
Accession (UniProt):
O31943
Name::
SPbeta prophage-derived uncharacterized HTH-type transcriptional regulator YonR
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 O31943 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O31943|YONR_BACSU SPbeta prophage-derived uncharacterized HTH-type transcriptional regulator YonR OS=Bacillus subtilis (strain 168) OX=224308 GN=yonR PE=4 SV=1 MFGERLKKCRTSKGYSQQRMADFLGITRQGYGKYEIGKAEPDLKTLTKLSNILGVSTDFLLKGTHAQFDLDEILNDPETLIAGYNGMISEEQAKELLYYLLKKEFEEH