Q0AY05 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicp7xwlhzpivvvcu3fixiadnjxkvu3n7nhbnggagj4b6tbs4sao4y/metadata.json
IPFS of structure file: 
bafybeicxcefknzrreihfpssvdot4xlf4x77dy63eb6tpmljti5ry5b3tya/AF-Q0AY05-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #454715 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454715
Accession (UniProt):
Q0AY05
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
SYNTROPHOMONAS WOLFEI SUBSP. WOLFEI (STRAIN DSM 2245B / GOETTINGEN)

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 Q0AY05 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0AY05|SYT_SYNWW Threonine--tRNA ligase OS=Syntrophomonas wolfei subsp. wolfei (strain DSM 2245B / Goettingen) OX=335541 GN=thrS PE=3 SV=1 MISIRLKDGSQREYPEGISLLQVAEDISPKLAKNAMAAVFNGKISDLNSQVKEDGCLELLDFEDERAREVYRHSSAHVMAQAVKRLWPESKLAIGPAIDKGFYYDFDSGHTFTPEDFAAIEEEMKRIIKADYPIVRKELSREEALQFFSERSEDYKLELIEDLPEDAVISTYQQGEFVDLCAGPHLPSTGRLKAIKVMSLAGAYWRGSERNPMLQRVYATSFPKKSMLDDYLQKLEEAKKRDHRRLGRELGLFVVLDEGPGFPFFLPKGMVLRNELENFWREEHRKAGYQEIRTPIILSRELWERSGHWDHYKDNMYFTTIDEGDYAIKPMNCPGGLLVYKQNLHSYKELPLRMGEMGLVHRHEMSGVLHGLMRVRAFTQDDAHIFMLPEQIIDEIKGVMDLVDRFYSLFGFPYHVELSTKPEKAMGSDEIWEVATNALIKALEERGMEYKVNEGDGAFYGPKIDFHLQDSLDRTWQCGTIQLDFQMPEKFDLTYVGEDGGKHRPVMIHRVIYGSIERFIGILTEHFGGAFPLWLAPVQVRVLPITQRSQDYARQVVAELEQAGIRVEADFRSEKIGYKIREGQLQKIPYLLVLGDREAEEGTVSVRHRKEGDLGAKLLEEFKQTIVKEIKDKVL