B5EN57 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidtzfki3kjl7rtsyfpmm62etpaunjgtewti6f35heeqxboy7e677m/metadata.json
IPFS of structure file: 
bafybeidpzx7otw6viwrtarub3ung7agq3omboza5jiqzpuzanwgzgaxg4i/AF-B5EN57-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5
First NFT owner address (bech32): 
genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j
Current NFT ID #454130 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454130
Accession (UniProt):
B5EN57
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Acidithiobacillus ferrooxidans (strain ATCC 53993 / BNL-5-31)

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 B5EN57 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5EN57|SYT_ACIF5 Threonine--tRNA ligase OS=Acidithiobacillus ferrooxidans (strain ATCC 53993 / BNL-5-31) OX=380394 GN=thrS PE=3 SV=1 MPDIQLPDGSHRQFAEPVTGLTLARAIGSGLARAAVAMRVDGILKDLSAVLDQDAEVAIVTRDSADGLEVIRHSTAHLLAQAVQSLYPEAQVTIGPVIDNGFYYDFAFPRGFTPEDLEAIEARMHALVKENLPVQREMLSREDAIALFEKMGEDYKVEIIRAIPRGEPLSLYRQGDFVDLCRGPHVPSTGVLGAFKLQRVAGAYWRGDSRNPMLQRIYGTAWAQQKDLDAYLQQLAEAEKRDHRRIGTELELFSIQEDAGGGLVFWHPMGSRVRRVIEDFWKEAHVEAGYDLLYTPHIAHEQLWYTSGHKDFYSESMFDPMQDEGQAYQLKPMNCPFHILIYKDKLHSYRDLPIRWAELGTVYRHEMSGALHGLMRVRGFTQDDAHVFCRPDQIEAEIGAVLVLVRKILGTFGFDQYEINLSTRPGHSVGSDEIWDAATQALRNALERAGLEYQVDAGGGAFYGPKIDLKIQDAIGRKWQCSTVQLDFNLPERFAMEYVAEDGARKVPIMVHRAIFGSIERFFGVLIEHYEGKFPVWLAPVQAVVLPISEHYSEYAESVSDVLVKRGIRAETDLRNEKIGYKIRAHTLRRVPYLLVVGEREKEAGTVAVRDRNGQDLGTLSIDAVGATLQKMDQARVNTLEWQG