Q057G3 AF NFT

Leucine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibq6umhit2xbtmvskifo3ewq6nfnlkj65cln27y3ebiszq5g32mgq/metadata.json
IPFS of structure file: 
bafybeicuxnepg72eft3o4o4r4jbcuz6ylem7pyulidxqlp3lzl6glfhlei/AF-Q057G3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #449902 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
449902
Accession (UniProt):
Q057G3
Name::
Leucine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Buchnera aphidicola subsp. Cinara cedri (strain Cc)

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 Q057G3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q057G3|SYL_BUCCC Leucine--tRNA ligase OS=Buchnera aphidicola subsp. Cinara cedri (strain Cc) OX=372461 GN=leuS PE=3 SV=1 MKNNNYNPKKIEKYVQKYWVKKKIFFTKIDKEKKKFYCLPMLPYPSGKLHMGHVRNYTISDVISRFHRMLGKNVLQPIGWDSFGLPAEETAIKNNISPKKWTFKNIKTMKKQLQSLGFSYDWNKEITTCNPEYYRWEQLFFIKLFKKKLIYKKKSIVNWCEKDKTVLANEQVQKGVCWRCGTKIKLRKISQWFIKIKKYADKFLKDLKLLKKWPKEVISMQKNWIGKSKGLKIKCKIYKKKYFLKIFTTKPETIMGISFFAISMYHPLINLFLRKNIEIQKFLKKNKYSINTEFQKSNILFGINTHLYVIHPINKKKIPLWISNYVKYNYATGAIMSVPCSNKIDYNFSKLYNIPFIKIFSKKNKKLLINSDNFNNLNIKKARNKISNFLINKKIAKKYIYYKIQDWCISRQRYWGTPIPIVIDNKKNIITVPKKKLPVILPKYIYKKKSLQSLSLYSLWLKTKISGKKVTRETDTLDTFMESSWYYARYTNPKYEKDIIDPKASEYWLPVDQYIGGIEHAVMHLIYFRFYHKLLYDFGYVQSKEPVKKLICQGMVIIDSFYKYNKDGSKKWLSISKIEINRDSKGKIISAIEKSSQKKIIYAGKIKMSKSKNNGIDPVNIIKQYGADSLRLFIMFAAPINISLEWNSKNIIGMHRFLKKIWNFVFIIIKKKKEKIKKIDLNKNKKTYIYKLNTIIKKVTYNIQERNSFNTAIAEIIKFFNYLVKLYKIYNIKKKNLIFCISTIIKMLYPFTPHICFILWKKIYGKKSCIEKETWPKFNKKFFLKEKNNIIIQINGKKKDIMKIHAIISKKEIIKLILKNEKIKKHLYKKIIKKTIYIPNKVINFVL