Q00937 AF NFT

Tetracycline resistance protein TetQ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeietojajrv7jczh4f64m4fmebll662rmbuqytpbjr2ggfngg724z6i/metadata.json
IPFS of structure file: 
bafybeigoel4sfajwgl5aj4xn25x542g3fe44nuo5phpc3o7ez3chkt3ega/AF-Q00937-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4fc379d65A6A09b9D0cEF948D61447D3D1509D93
First NFT owner address (bech32): 
genesis1flphn4j6dgymn5xwl9ydv9z860g4p8vnpjrx92
Current NFT ID #461300 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
461300
Accession (UniProt):
Q00937
Name::
Tetracycline resistance protein TetQ
Experimental Method:
Predicted structure
Sequence source:
BACTEROIDES THETAIOTAOMICRON

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 Q00937 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q00937|TETQ_BACT4 Tetracycline resistance protein TetQ OS=Bacteroides thetaiotaomicron OX=818 GN=tetQ PE=3 SV=1 MNIINLGILAHIDAGKTSVTENLLFASGATEKCGCVDNGDTITDSMDIEKRRGITVRASTTSIIWNGVKCNIIDTPGHMDFIAEVERTFKMLDGAVLILSAKEGIQAQTKLLFNTLQKLQIPTIIFINKIDRAGVNLERLYLDIKANLSQDVLFMQNVVDGSVYPVCSQTYIKEEYKEFVCNHDDNILERYLADSEISPADYWNTIIALVAKAKVYPVLHGSAMFNIGINELLDAITSFILPPASVSNRLSSYLYKIEHDPKGHKRSFLKIIDGSLRLRDVVRINDSEKFIKIKNLKTINQGREINVDEVGANDIAIVEDMDDFRIGNYLGAEPCLIQGLSHQHPALKSSVRPDRPEERSKVISALNTLWIEDPSLSFSINSYSDELEISLYGLTQKEIIQTLLEERFSVKVHFDEIKTIYKERPVKKVNKIIQIEVPPNPYWATIGLTLEPLPLGTGLQIESDISYGYLNHSFQNAVFEGIRMSCQSGLHGWEVTDLKVTFTQAEYYSPVSTPADFRQLTPYVFRLALQQSGVDILEPMLYFELQIPQAASSKAITDLQKMMSEIEDISCNNEWCHIKGKVPLNTSKDYASEVSSYTKGLGIFMVKPCGYQITKGGYSDNIRMNEKDKLLFMFQKSMSSK