Q9HGZ9 AF NFT

HTH-type sugar sensing transcriptional regulator TrmB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigjsvs7b6muspk3ktq65bsvu4efi2stpmoohzgzr4mn5kfcu67a24/metadata.json
IPFS of structure file: 
bafybeif53chgk72jj6ghqfcu6exxjg265qfmkgs2vrz7let6dldlrcck7i/AF-Q9HGZ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7c75F0f7d6d136A2b8D4C6C6e9b3D8a697949DF1
First NFT owner address (bech32): 
genesis1036lpa7k6ym29wx5cmrwnv7c56tef803cmwzax
Current NFT ID #473957 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
473957
Accession (UniProt):
Q9HGZ9
Name::
HTH-type sugar sensing transcriptional regulator TrmB
Experimental Method:
Predicted structure
Sequence source:
PYROCOCCUS FURIOSUS (STRAIN ATCC 43587 / DSM 3638 / JCM 8422 / VC1)

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 Q9HGZ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HGZ9|TRMBR_PYRFU HTH-type sugar sensing transcriptional regulator TrmB OS=Pyrococcus furiosus (strain ATCC 43587 / DSM 3638 / JCM 8422 / Vc1) OX=186497 GN=trmB PE=1 SV=1 MEIPPEISHALSEIGFTKYEILTYWTLLVYGPSTAKEISTKSGIPYNRVYDTISSLKLRGFVTEIEGTPKVYAAYSPRIAFFRFKKELEDIMKKLEIELNNVKKEEQRPAIWRSRSFDEAIEMFRESLYSAKNEVIVVTPSEFFETIREDLIKTLERGVTVSLYIDKIPDLSEFKGKGNFFVRQFYKLNHLIGMTDGKEVVTIQNATFDSIGPPSFKSTYPEIIFSQYSLIIEIFKESTLEKEIIGNPKDIRFFAMFHAVDFVKNHLKNRNIYAEITGKNLESGRLETLTGRVVGYTLSLREAVNNIHLETENGVVKVGGMFAVIEDYESTEIKFIMG