Q9HP27 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihvbtb4bxnipihmclrz56rjajtzr64vqmnvxvxt7nrp5sd5ohs4cu/metadata.json
IPFS of structure file: 
bafybeigk36seg7gocll7kep5ec4xp3kxemnyxwgkfl7xcdzaihmbum3r5q/AF-Q9HP27-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF78113a0C838dDA8195e4aa329b2E61aCeF7d226
First NFT owner address (bech32): 
genesis177q38gxg8rw6sx27f23jnvhxrt80053xrhfzlu
Current NFT ID #454367 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454367
Accession (UniProt):
Q9HP27
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
HALOBACTERIUM SALINARUM (STRAIN ATCC 700922 / JCM 11081 / NRC-1)

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 Q9HP27 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HP27|SYT_HALSA Threonine--tRNA ligase OS=Halobacterium salinarum (strain ATCC 700922 / JCM 11081 / NRC-1) OX=64091 GN=thrS PE=3 SV=2 MSSVTVTLPDGSTLEVASGATVEDVAHEIGPGLGRDTVAGKIDHELVAKEEPISEDCEIEIVTDQSDEYLDVLRHTAAHVLAQAIRRHHPDAKLTIGPYTDEGFYYDIANVELDADDLDEIQAEAASIIDDDLDVERVEYDRADAREHYADNEFKREILDAEAAGDGPVSFYTQGDFEDLCKGPHVDSTGEIGGFEVLETSAAYWRGDEERETLTRVYGTAFPTESDLQEYLARREEAKERDHRKLGREMDLFSIPDVTGPGLPLYHPNGKTVLRELSEYVRGLNSEMGYDEVETPHLFRTELWKQSGHYDNYVDDMFLLDVNDEEYGLKPMNCPGHATIFNEGSWSYRDLPVRYFEDGKVYRKEQRGELSGLSRVWAFTIDDGHVFARADQIEAEVRRLMDTITEVLDTFDLDYEVALATRPEKSVGSDDIWEQSERQLREVLDQQGVDYDVEPGDGAFYGPKIDFGFEDALGRSWDGPTVQLDFNMPDRFDLEYTGSDNDAHQPVMIHRALYGSYERFFMVLIEHYNGRFPTWLAPEQVRILPVTDDNLGYAHRVKNELGDYRVEVEDRDWTVGKKIQQAHDDNVPYMLVVGDDEEDADAVSVRDRQEREGKGVDLAEFRAHLDSEVDGKRTEPDFLD