Q8U149 AF NFT

Arginine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiflfm57zc32zqiroqxpldq4vzzwzid6x54bl4la6p4b6jcy57wney/metadata.json
IPFS of structure file: 
bafybeicloxfttbld5aebkq4lsy6csaa33x6hng7bbdmx5ge6eebcpru7ju/AF-Q8U149-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #452953 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
452953
Accession (UniProt):
Q8U149
Name::
Arginine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PYROCOCCUS FURIOSUS (STRAIN ATCC 43587 / DSM 3638 / JCM 8422 / VC1)

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 Q8U149 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8U149|SYR_PYRFU Arginine--tRNA ligase OS=Pyrococcus furiosus (strain ATCC 43587 / DSM 3638 / JCM 8422 / Vc1) OX=186497 GN=argS PE=3 SV=1 MMETIKSEIKRTIEGIVREMAPDWSEDIQFVDTPSPELGDFGTPVAFQLARLLRKSPLIIAQEIAEKFNKNKPKEVKKAIAVNGYVNFFLDYPQISKLVIEAILGYGTEYGRSEIGKGKKVIVEHTSVNPTKPLHMGHARNAILGDTVARILRFLGYQVEVQNYIDDLGVQFAQVYWGYLNLKRKFDELMKELKEKIPKNNPIDHVLGLLYVEVNKKIEESSEVEKEIRELMKKLEERELNGRKLAEEVVKAQMETLYSLNIYYDLLVWESDIVSTRLFEKTIKLLEKNENFYTPKEGKYKGAFVMDLSKLFPDMKNPYLVLRRSDGTATYTGKDIAYHLWKFGKIDIDLMYKKWDEHTWTTAPDGEPIPGKFGAGDIVINVIGAEQRHPQLAIKYALELLGYKDAAENFHHLAYEHVESPEGKFSGRKGTWVGFTVDEVIAEAINKAKSLIEEKNPNLTEEEKEEIAKKVAVGAIRYTLIKYSPEKKIVFRWEDVLNFEGESAPYIQYAHARCSSILRKAEELGISTDWKSLLKVANFNQITEKERELIMLLSRFPEIVQQAGTDLKPHLIAWYANEVASTFNKFYMDHPVIKAEEGVREARLLLVMATRQVLRNSLWLMGIEAPDKM