Q2N6X5 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia3lnqfqemjwzvtumuesnda5wtzpdnoff3sgdgdekyqhfm76koghq/metadata.json
IPFS of structure file: 
bafybeic2jnmifndmeuvpjj62nafbyrdt3lv7oeudwl4okgx6gcut4ks7we/AF-Q2N6X5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA9CF663CecE9dfC23a2306df169ba1dA3b6d6CD5
First NFT owner address (bech32): 
genesis1488kv08va80uyw3rqm03dxapmgak6mx4qlj974
Current NFT ID #454331 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454331
Accession (UniProt):
Q2N6X5
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
ERYTHROBACTER LITORALIS (STRAIN HTCC2594)

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 Q2N6X5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2N6X5|SYT_ERYLH Threonine--tRNA ligase OS=Erythrobacter litoralis (strain HTCC2594) OX=314225 GN=thrS PE=3 SV=1 MTELLKISLPDGSVREMEAGATPADVAAAIGPGLAKAALAAKVDGEVRDLNRPFEGDAELALITSRDEEEALELARHDYAHVLAEAVQALWPGTQITFGPATDDGFYYDVKAPDSRDPFGMDDLPAIEEKMREIIKADKPLVREVWSREQLIEKWEAEGEVFKAEWAKELPEDEELTVYWSGEPGGEDSWLDMCRGPHLASTGKLDPQAFKLMRVAGAYWRGDQRNPQLTRIYGTGWLNKKQLNAHLHRLEEAAKRDHRKLGREMDLFHLQEEAHGSVFWHPQGYKIWRELEAYMRRKMDGAGYREIKTPQVMDARQWEQSGHWGKYRENMFVIPDEIPNTEDEGELVSKDADWMALKPMNCPAHVLVFKQGITSYRDLPIRLGEMGCCHRNEPHGALHGLMRVRQFTQDDAHIFCTEDQVVEEVRAFCKLADEVYRDFGFDYDVKLALRPEQRFGSEEDWDKAEQELRDAVAEAGMANDDYGWEELPGEGAFYAPKLEWHLTDAIGRTWQVGTIQGDRVLPERLDATYVGEDGGKHRPVMLHRAIFGSYERFIGILIEHFAGRLPVWLAPTQAVVATIVSDADGYAKEAVAKLEAAGIRVDGDLRNEKINFKVREHSLAKVPHLLVVGKREAEEGTVAVRTLGEKEQQVMSLDDAIAMLKDAATPPDLRDG