B0R6G6 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeictytgvdke7tqbyxx4vi46miiu736tjzohduzqa6gqp6es7uglgdy/metadata.json
IPFS of structure file: 
bafybeiaojpcs7vuo5acuzxlw2s7xg2kshidt5ljcpxypk6smzxlrnpxsg4/AF-B0R6G6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #454366 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454366
Accession (UniProt):
B0R6G6
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
HALOBACTERIUM SALINARUM (STRAIN ATCC 29341 / DSM 671 / R1)

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 B0R6G6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0R6G6|SYT_HALS3 Threonine--tRNA ligase OS=Halobacterium salinarum (strain ATCC 29341 / DSM 671 / R1) OX=478009 GN=thrS PE=3 SV=1 MSSVTVTLPDGSTLEVASGATVEDVAHEIGPGLGRDTVAGKIDHELVAKEEPISEDCEIEIVTDQSDEYLDVLRHTAAHVLAQAIRRHHPDAKLTIGPYTDEGFYYDIANVELDADDLDEIQAEAASIIDDDLDVERVEYDRADAREHYADNEFKREILDAEAAGDGPVSFYTQGDFEDLCKGPHVDSTGEIGGFEVLETSAAYWRGDEERETLTRVYGTAFPTESDLQEYLARREEAKERDHRKLGREMDLFSIPDVTGPGLPLYHPNGKTVLRELSEYVRGLNSEMGYDEVETPHLFRTELWKQSGHYDNYVDDMFLLDVNDEEYGLKPMNCPGHATIFNEGSWSYRDLPVRYFEDGKVYRKEQRGELSGLSRVWAFTIDDGHVFARADQIEAEVRRLMDTITEVLDTFDLDYEVALATRPEKSVGSDDIWEQSERQLREVLDQQGVDYDVEPGDGAFYGPKIDFGFEDALGRSWDGPTVQLDFNMPDRFDLEYTGSDNDAHQPVMIHRALYGSYERFFMVLIEHYNGRFPTWLAPEQVRILPVTDDNLGYAHRVKNELGDYRVEVEDRDWTVGKKIQQAHDDNVPYMLVVGDDEEDADAVSVRDRQEREGKGVDLAEFRAHLDSEVDGKRTEPDFLD