Q7LYW4 AF NFT

HTH-type sugar sensing transcriptional regulator TrmB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaybep6ynovhv5jiiofsbvjhggzlccmn6etc7qntyfenx4aboxi2u/metadata.json
IPFS of structure file: 
bafybeibzhoicslnxh5bkkrtwch5c7m5fxs477copqqx4sof67m74vdu5jq/AF-Q7LYW4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1D58c05FDe6847ACA12d0a86ffEe593119157D18
First NFT owner address (bech32): 
genesis1r4vvqh77dpr6egfdp2r0lmjexyv32lgcz7rzt7
Current NFT ID #473958 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
473958
Accession (UniProt):
Q7LYW4
Name::
HTH-type sugar sensing transcriptional regulator TrmB
Experimental Method:
Predicted structure
Sequence source:
THERMOCOCCUS LITORALIS (STRAIN ATCC 51850 / DSM 5473 / JCM 8560 / NS-C)

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 Q7LYW4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7LYW4|TRMBR_THELN HTH-type sugar sensing transcriptional regulator TrmB OS=Thermococcus litoralis (strain ATCC 51850 / DSM 5473 / JCM 8560 / NS-C) OX=523849 GN=trmB PE=1 SV=1 MEIPPEISHALSEIGFTKYEILTYWTLLVYGPSTAKEISTKSGIPYNRVYDTISSLKLRGFVTEIEGTPKVYAAYSPRIAFFRFKKELEDIMKKLEIELNNVKKEEQRPAIWRSRSFDEAIEMFRESLYSAKNEVIVVTPSEFFETIREDLIKTLERGVTVSLYIDKIPDLSEFKGKGNFFVRQFYKLNHLIGMTDGKEVVTIQNATFDSIGPPSFKSTYPEIIFSQYSLIIEIFKESTLEKEIIGNPKDIRFFAMFHAVDFVKNHLKNRNIYAEITGKNLESGRLETLTGRVVGYTLSLREAVNNIHLETENGVVKVGGMFAVIEDYESTEIKFIMG