O34464 AF NFT

Uncharacterized HTH-type transcriptional regulator YceK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif5l5gq5ingmkkfoiiuuesz6jpzgwd67c4pmwol45f723cpyf5lwm/metadata.json
IPFS of structure file: 
bafybeia3y7heioiqk4f5wz7kvo2a6jeth2ubvw2twkiwkliannwftfdyci/AF-O34464-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #526433 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
526433
Accession (UniProt):
O34464
Name::
Uncharacterized HTH-type transcriptional regulator YceK
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 O34464 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O34464|YCEK_BACSU Uncharacterized HTH-type transcriptional regulator YceK OS=Bacillus subtilis (strain 168) OX=224308 GN=yceK PE=4 SV=1 MYYSFMTMKQSDDQIRAQIFKALSDESRLAIIRTLYVSGKELSCGEVGEKCNIVKTTASYHFKTLREAGLTATRKDSRTKYVSLREDTFQTYLPGFLETL