A5UMJ1 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemqimzo2u5waok37ab7yvlqgbgja7n45ltp2kxjyvqisfywwakzi/metadata.json
IPFS of structure file: 
bafybeidt3e6qejkpj2fpkgyn33vptfrzl4wpfhhvw7ku3tei7lackgikju/AF-A5UMJ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #454446 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454446
Accession (UniProt):
A5UMJ1
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Methanobrevibacter smithii (strain ATCC 35061 / DSM 861 / OCM 144 / PS)

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 A5UMJ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5UMJ1|SYT_METS3 Threonine--tRNA ligase OS=Methanobrevibacter smithii (strain ATCC 35061 / DSM 861 / OCM 144 / PS) OX=420247 GN=thrS PE=3 SV=1 MRILLIHSDYLNYNVKNKTPVAEEIEDAKKQGAFDESLVVFTAVEKDDENNPQGIVKNLVKEVIKTNDQVKAENIVLYPYAHLSSSLSSPKVAVQVLKDAEEALDAEGLNVKRVPFGWYKAFEISCKGHPLSELSRTITAEEEEEEEVEKKPSSWSILDGDKIIDIDDFKFENDQLEKLVSYELGTGASDAGEPPHVKLMREKELCDYESASDVGNLKWFPKGRLVRDLLADYVYNLVVDQGAMPIETPIFYDLDNEAINVHAAKFGERQYRTDTKKNLMLRFACCFGAFRVMADPFITWKNLPAKLYELSTYSFRFEKKGEVVGLKRLRAFTMPDFHSFCADMNSTLEEFSKQTDMCIQTGVDLDVNYEIIFRATKDFYDENKDWMYSIGKKIGKPVLLEILPERKHYWSCKIDFAAIDYLGRPIENPTVQIDVESGKRFDITYLGEDGKEHYPTILHCSPTGSIERVICSLLEKTAIELDEKAPMLPTWLSPIEVRIITVGEDHKDFANELYDKINAENIRVDVDDRDESVGKKIRNAATEWIPYIFVVGDNEKESGVFSVTVRETGEKVDMTVDELIKEILDKTKGMPYRGLPLPKDISTRINFQ