Q1C0W2 AF NFT

HTH-type transcriptional activator RhaR

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiegt2mgybveavuvemvjxizi7bjqg2mfzhh53wbiyudv2qy6by2b5y/metadata.json
IPFS of structure file: 
bafybeicqnilzla62u7qeyw3hjq5kiryzubiff37on4ul6yt3byhs3tqtey/AF-Q1C0W2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa0Ce8C82aCdfDBeDc93F6adD397ac7f37Ed28C7a
First NFT owner address (bech32): 
genesis15r8geq4vmld7mjfldtwnj7k87dld9rr6wceeql
Current NFT ID #342290 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
342290
Accession (UniProt):
Q1C0W2
Name::
HTH-type transcriptional activator RhaR
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C0W2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C0W2|RHAR_YERPA HTH-type transcriptional activator RhaR OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=rhaR PE=3 SV=1 MRAPLLLESRDYLLSEQMPVAVTNRYPQETFVEHTHQFCEIVIVWRGNGLHVLNDHPYRITCGDVFYIQAADHHSYESVHDLVLDNIIYCPERLHLNAQWHKLLPPLGPEQNQGYWRLTTQGMAQARPIIQQLAQESRKTDSWSIQLTEVLLLQLAIVLKRHRYRAEQAHLLPDGEQLDLIMSALQQSLGAYFDMADFCHKNQLVERSLKQLFRQQTGMSISHYLRQIRLCHAKCLLRGSEHRISDIAARCGFEDSNYFSAVFTREAGMTPRDYRQRFIRSPVLPAKNEP