Q02QX1 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeickpiczbzyzxvihgcw3atnilsrnjimvztporyp5pkuyampcq7q4ci/metadata.json
IPFS of structure file: 
bafybeiferisqsz4u4bgxdp46oykreiknyaywvljtnq4mfkcf3uw4z5zqli/AF-Q02QX1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfA2D7d215A9007e461048F5227b95Ba72662019E
First NFT owner address (bech32): 
genesis1lgkh6g26jqr7gcgy3afz0w2m5unxyqv75zsktu
Current NFT ID #450900 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450900
Accession (UniProt):
Q02QX1
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN UCBPP-PA14)

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 Q02QX1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q02QX1|SYM_PSEAB Methionine--tRNA ligase OS=Pseudomonas aeruginosa (strain UCBPP-PA14) OX=208963 GN=metG PE=3 SV=1 MSEPRKILVTSALPYANGSIHLGHMLEYIQTDMWVRFQKMRGNQAVYVCADDAHGSAIMLRAEREGITSEQLIDAVRAEHMGDFADFLVDFDNYHSTHSEENRELSSAIYLKLRDAGHIDTRPVTQYFDPEKQMFLADRFIKGTCPKCGTADQYGDNCEACGATYAPTELKDPKSAISGATPVLKESLHYFFKLPDFEAMLKQWTRSGALQESVANKLAEWLDSGLQQWDISRDAPYFGFEIPDAPGKYFYVWLDAPIGYMASFKNLCARRPELDFDAFWGKDSSAELYHFIGKDIVNFHALFWPAMLEGAGYRKPTALNVHGYLTVNGQKMSKSRGTFVKARTYLDHLDPEYLRYYYASKLGRGVEDLDLNLEDFVQKVNSDLVGKVVNIASRCAGFIHKGNAGVLVGADPAPELLAAFREAAPGIAEAYEARDFNRAMREIMALADRANAWIAEQAPWALAKQEGQQDKVQAVCGLGINLFRQLVIFLKPVLPKLAAAAEAFLNVAPLTWADHRTLLANHQLNPFQPLMTRIEPAKVEAMIEASKEDLAAAASQPAGNGELVKEPIAAEIDFDAFAAVDLRIALIEKCEFVEGADKLLRLSLDIGDAKRNVFSGIKSAYPDPSALEGRLTLYVANLAPRKMKFGVSEGMVLAAGPGGEEIYLLSPDSGAKPGQRVK