Q6AFC3 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibrzavqzpd4wi7vbi7n5sszo6ymjo3mw43x662cqpw425d6wpu3xq/metadata.json
IPFS of structure file: 
bafybeidibwtch6fhuzf6wnvn2xryewvpxrr4xeertuyqifa4mejrzveihe/AF-Q6AFC3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7D34c99F3c1FD7D95D8D93F7B8771bc2e53E59a9
First NFT owner address (bech32): 
genesis1056vn8eurltajhvdj0mmsacmctjnukdfuyg6c9
Current NFT ID #454404 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454404
Accession (UniProt):
Q6AFC3
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Leifsonia xyli subsp. xyli (strain CTCB07)

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 Q6AFC3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6AFC3|SYT_LEIXX Threonine--tRNA ligase OS=Leifsonia xyli subsp. xyli (strain CTCB07) OX=281090 GN=thrS PE=3 SV=1 MPRIPSPPQAGLRARAARAFRLELTHPFRHDLLGVDQVADGFEFFTDRSVVAMRVNGELKDLATIVTTTDVVEPVTIYSPDGLAILRHSTAHVLAQAVQTVNPEAKLGIGPPIADGFYYDFDVAEPFTPEDLKALDKEMSRIQRAGQRFVRRVVTDEEARAELAGEPYKLELIGLKGSDAESAEVGGEESVEVGSGELTIYDNVDPKTGETIWKDLCRGPHLPNTRMIGNGWALTRVAAAYWRGSEKNPQLQRIYGTAWPSKDELRAYQTRMEEAAKRDHRKLGVELDLFSFPDEIGSGLAVFHPKGGIIRKEIEDYMRDRLIANGYEMVNTPHITKGHLFETSQHLNWYREGMFPPMHLDEERDAEGNVTRQGQDYYLKPMNCPMHNLIFRSRGRSYRELPLRLSEFGTVYRYEKSGTLSGLTRVRGLTQDDAHIYVTEEQIRDEFARQLQFVLETLRGYGLTDFYLELSTKDPEKYVGSDESWETATETLREVAVESGLELVDDPGGAAFYGPKISVQARDAIGRTWQLSTVQLDFNQPELFELEYNAADGTRKQPAMIHRALLGSIERFFAILLEHHAGAFPVWLAPTQVVGIPVADAYGPFLDDVIAQLRARGVRAEVDHSDDRMQKKIRTHTKAKVPFQLIVGEEDASAGTVSFRFRDGTQLNGVAVDEAIERIVASIQTHELVDTAWPA