Q67LA3 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid7uzpdrpdkjkwozwzp6deutoor63za3wcqpn72siur7b27r4jh7y/metadata.json
IPFS of structure file: 
bafybeiedn7bckz324beyrx4jq5eeuqsbikzakol5axaprqiahgq2umvnje/AF-Q67LA3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01Ad51C82dd521245552f447f4fb0a71abB50C3B
First NFT owner address (bech32): 
genesis1qxk4rjpd65sjg42j73rlf7c2wx4m2rpmtyzzq2
Current NFT ID #454707 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454707
Accession (UniProt):
Q67LA3
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
SYMBIOBACTERIUM THERMOPHILUM (STRAIN T / IAM 14863)

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 Q67LA3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67LA3|SYT_SYMTH Threonine--tRNA ligase OS=Symbiobacterium thermophilum (strain T / IAM 14863) OX=292459 GN=thrS PE=3 SV=1 MSSVVHVTLPDGSVREYPQGITIAEAVAQIGPRLAKAALAAKVDGRLVDLSARLEKDCTLQVLTFKDEEGREVFRHTSTHIMAQAVKRLFPEAKLTVGPPLENSFYYDFDLPRPLTPEDLEKIEAEMAKIVEADYPIVRQEVDREEAKRFFAERGEDYKVLLVDKIPEDEVVSIYTQGEFTDLCVGPHLPSTGRVKAFKLLSVAGAYWEGNQANKQLQRVYGTSFESKKDLEDYLFRLEEARRRDHRRLGPELGLYRFEEVAPGFAFWLDKGYRLYRELENWSRKLQEARGYEEVSTPWIVSSKLYETSGHWQHYRQNMFEIRAEDQDFATKPMNCPCHCVLYKSQIRSYRDLPLKIAEYGPLSRFEASGTLHGLLRVRGFHQDDAHLFVRPDQIEEQIREVIGLVDTIYGTLGLEYEIKLSTRPEDFMGDIELWNEAEAALARALDGMGRSYKLNPGDGAFYGPKLDFDVTDALGRKWQCATVQLDFQLPIKFDLTYIGEDGKEHRPVMIHRAIMGTLERFIGILTEHYAGNFPLWMAPVQARVLPITDRHHAYAGEVVAKLQEAGLRVEGDYRNEKVGYKIREAELLKIPFILVVGDKEAEAGAVAVRRRGMKDLGPMPLADFLALAQSEIASKAMDEACRKAASGTRD