Q9HTJ0 AF NFT

HTH-type transcriptional regulator BetI

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibma4xu5gsms5m3zfut37uisq74gl5gxsrwuqkpmaqqx27tyzeepu/metadata.json
IPFS of structure file: 
bafybeih7ubujktvoicig3yf4f6mghpz7qb74oqxlqhj2ekhix66zd275je/AF-Q9HTJ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x997F94841d7b1813c24cF79fc8e8aB044ABbEF65
First NFT owner address (bech32): 
genesis1n9lefpqa0vvp8sjv770u369tq39thmm9ku95h6
Current NFT ID #42270 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
42270
Accession (UniProt):
Q9HTJ0
Name::
HTH-type transcriptional regulator BetI
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HTJ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HTJ0|BETI_PSEAE HTH-type transcriptional regulator BetI OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=betI PE=3 SV=1 MPKVGMQPIRRSQLIHATLEAVDQVGMGDASIALIARLAGVSNGIISHYFQDKNGLLEATMRHLLSALSKAVRERRAALYDDSPRAHLRAIVEGNFDDSQVNGPAMKTWLAFWATSMHQPALRRLQRVNDHRLYSNLCYQFRRQLSADDARAAARGLAALIDGLWLRGALTGDAFDTDEALNIAYDYLDQQLAKQSG