P96708 AF NFT

Uncharacterized HTH-type transcriptional regulator YdgJ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib72f2r7yfc4dsccg6cgllrv7deepwuv43a7lpbgsyaejq3lw3nhm/metadata.json
IPFS of structure file: 
bafybeidrx5rh3adjllc3kqgggpjceszd2fgbqdnqes6cbtur5qr2dw4sci/AF-P96708-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #528502 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
528502
Accession (UniProt):
P96708
Name::
Uncharacterized HTH-type transcriptional regulator YdgJ
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 P96708 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P96708|YDGJ_BACSU Uncharacterized HTH-type transcriptional regulator YdgJ OS=Bacillus subtilis (strain 168) OX=224308 GN=ydgJ PE=4 SV=1 MTCQSLIYQLIVLTGKKGWVLASFCSEEAEILYQLQGVNKVIGVKFEACTGISQSRLELLTLLYHADEISQSDLQKKVNIDSAAVTRHLKQLESKGMVSRRRKPEDNRITLVRLTDQGRERIESSKKEKERFMKEMLANVSAEERRLLIDVLARMRNNINNIEA