C0H3X9 AF NFT

Uncharacterized HTH-type transcriptional regulator YgzD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigw2w73ztvc5afpnmrlrl7ef3gc2vd6ydgdaacxzdmhefau2dhgcy/metadata.json
IPFS of structure file: 
bafybeigx5o6wol77kyayzekkylpuuv46jyycsle3tyt5ecqetai22qxufe/AF-C0H3X9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #530772 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
530772
Accession (UniProt):
C0H3X9
Name::
Uncharacterized HTH-type transcriptional regulator YgzD
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 C0H3X9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0H3X9|YGZD_BACSU Uncharacterized HTH-type transcriptional regulator YgzD OS=Bacillus subtilis (strain 168) OX=224308 GN=ygzD PE=4 SV=1 MKNKVKELRARFGYSQEKLGETVGVTRQTVAAIEKGDYVPSLLLALKICKAFSMKMEDVFWLEEEN