B7UWJ8 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibxtsxjxhwi4aazzufdd2262hhdjq4zrj2ukmoipnkm45shphb2pe/metadata.json
IPFS of structure file: 
bafybeifveqyiz26rfampofa2ligvcu6nyzmk3spu5adi4lt5z6ikvw7gse/AF-B7UWJ8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #450899 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450899
Accession (UniProt):
B7UWJ8
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN LESB58)

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 B7UWJ8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7UWJ8|SYM_PSEA8 Methionine--tRNA ligase OS=Pseudomonas aeruginosa (strain LESB58) OX=557722 GN=metG PE=3 SV=1 MSEPRKILVTSALPYANGSIHLGHMLEYIQTDMWVRFQKMRGNQAVYVCADDAHGSAIMLRAEREGITSEQLIDAVRAEHMGDFADFLVDFDNYHSTHSEENRELSSAIYLKLRDAGHIDTRPVTQYFDPEKQMFLADRFIKGTCPKCGTADQYGDNCEACGATYAPTELKDPKSAISGATPVLKESLHYFFKLPDFEAMLKQWTRSGALQESVANKLAEWLDSGLQQWDISRDAPYFGFEIPDAPGKYFYVWLDAPIGYMASFKNLCARRPELDFDAFWGKDSSAELYHFIGKDIVNFHALFWPAMLEGAGYRKPTALNVHGYLTVNGQKMSKSRGTFVKARTYLDHLDPEYLRYYYASKLGRGVEDLDLNLEDFVQKVNSDLVGKVVNIASRCAGFIHKGNAGVLVGADPAPELLAAFREAAPGIAEAYEARDFNRAMREIMALADRANAWIAEQAPWALAKQEGQQDKVQAVCGLGINLFRQLVIFLKPVLPKLAAAAEAFLNVAPLTWADHRTLLANHQLNPFQPLMTRIEPAKVEAMIEASKEDLAAASQPAGNGELVKEPIAAEIDFDAFAAVDLRIALIEKCEFVEGADKLLRLSLDIGDAKRNVFSGIKSAYPDPSALEGRLTLYVANLAPRKMKFGVSEGMVLAAGPGGEEIYLLSPDSGAKPGQRVK