Q9HPW0 AF NFT

HTH-type sugar sensing transcriptional regulator TrmB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawv3r4ezkc7fb2ushft3x6sfngjixenfczk32zygd4sd4tdbnnqu/metadata.json
IPFS of structure file: 
bafybeidett4vvtuyitegjf447y5vfn7gbxg5mnx5j7bmxvz45emtlllgkq/AF-Q9HPW0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x00685b56AD2C6270030a61AB8c1c7b7aE6973997
First NFT owner address (bech32): 
genesis1qp59k44d9338qqc2vx4cc8rm0tnfwwvhndgm55
Current NFT ID #473956 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
473956
Accession (UniProt):
Q9HPW0
Name::
HTH-type sugar sensing transcriptional regulator TrmB
Experimental Method:
Predicted structure
Sequence source:
HALOBACTERIUM SALINARUM (STRAIN ATCC 700922 / JCM 11081 / NRC-1)

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 Q9HPW0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HPW0|TRMBR_HALSA HTH-type sugar sensing transcriptional regulator TrmB OS=Halobacterium salinarum (strain ATCC 700922 / JCM 11081 / NRC-1) OX=64091 GN=trmB PE=1 SV=2 MSDEDLRGTVEQVGRGFNLGEYEVEAYLTVLRHGELTASDIADRTDIPQPRVYDTVRSLGDRGLVELRESRPMKIVALSPEDAFAGLQEDFQEMVGALEAEYTQPARNTEAVSLVKSRSTIVRYFGDVIAEADFELVCSLTPSLLERFADDLAAAVDRGVSVDVVVSPARNAPNPDAFDYAAATTAARGRRGITTPVIAVADGRYSVYATQDAVRDDSDRYGVIFDQSALGFLVSGFFDTVLWSTATESLYDPATELSLPRTYAAIRRCVRDLQSVDESVYATVTGRDVLTGADRRIQGRIVETRFEESGEVATIIVYTENGDRVEVGGRVAALEDVEAHEIAVARDAPPAL