Q6NGW2 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibu5m5rqhhm73tmeky7eqqv3jmxra3ckhgvuaobpz4utvhqbz3eve/metadata.json
IPFS of structure file: 
bafybeifwu6pycc6tbx7dcxca3rg7sqepggmak77axlooy73wdvczvriwwa/AF-Q6NGW2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xffd3A8BB39E944e035Fb9DC609Be7008d4b93326
First NFT owner address (bech32): 
genesis1llf63weea9zwqd0mnhrqn0nspr2tjvex8l8rdk
Current NFT ID #454274 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454274
Accession (UniProt):
Q6NGW2
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
CORYNEBACTERIUM DIPHTHERIAE (STRAIN ATCC 700971 / NCTC 13129 / BIOTYPE GRAVIS)

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 Q6NGW2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NGW2|SYT_CORDI Threonine--tRNA ligase OS=Corynebacterium diphtheriae (strain ATCC 700971 / NCTC 13129 / Biotype gravis) OX=257309 GN=thrS PE=3 SV=1 MAHLIEAAPNPHQPFVVTAGVAVGAAMRELELPNKGPEAIVCVKDSEGTLRDLSFVPEQDSKFTPVPANTEDGRTVIRHSCTHVLAQAVQAEFPGTKLGIGPAIENGFYYDFDVAEPFTPEDLQKLEKRMKKIVKQGQKFERRIFASVAEAEEALKNEPYKLELIRDKGNVDPGSDEATEIGAGDLTGYYNVNPRTGEVDWYDLCRGPHVPTTKYIPAFALTRSSAAYWRGDQSLAGLQRIYGTAWESKEALEEYQLMMAEAEKRDHRRLGAELDLFSFPDEIGSGFPVFHPNGGIVRLEMEEHSRRRHINAGYSFVNTPHITKGDLFKKSGHLDFYADGMFPPMQLDGEVDEEGNVVKQAQDYYAKPMNCPMHNLIFASRGRSYRELPLRLFEFGTVYRYEKSGVIHGLTRARGFTQDDAHIYCTEDQLEQELTSVLDFIISLLRDYGLDDFYLELSTKDPNKFVGSDEIWEKSTSILQRVATKSGLELVPDPAGAAFYGPKISVQARDAIGRTWQMSTVQLDFNLPERFNLEYTSSDGSKKRPIMIHRALFGSIERFFGVLLEHYAGAFPAWLAPHQVIGIPVADSFSEHLEKVTGMLRDNGVRASVDTSDDRMQKKIRNHTTGKVPFMLLAGARDVEANAVSFRFLDGTQINGVPVDKAIGVITQWISSRNNKQPSEETVKKLV