A6V1U3 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiesb26yywibm4ba5xfxbulh6myyz3q3jepxjailntlnggtvoarpce/metadata.json
IPFS of structure file: 
bafybeiayfr4vasze2f723p6ynp6hmzlvmd2p3b7q2xg56gre4hcw3hau6i/AF-A6V1U3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x507b0cF5c2F663afF8A05761eBf4e0Bf457a72Fb
First NFT owner address (bech32): 
genesis12paseawz7e36l79q2as7ha8qhazh5uhmg7sy2m
Current NFT ID #450898 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
450898
Accession (UniProt):
A6V1U3
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN PA7)

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 A6V1U3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6V1U3|SYM_PSEA7 Methionine--tRNA ligase OS=Pseudomonas aeruginosa (strain PA7) OX=381754 GN=metG PE=3 SV=1 MSEPRKILVTSALPYANGSIHLGHMLEYIQTDMWVRFQKMRGNQAIYVCADDAHGSAIMLRAEREGITSEQLIDAVRAEHMGDFADFLVDFDNYHSTHSEENRELSSAIYLKLREAGHIDTRPVTQYFDPDKQMFLADRFIKGTCPKCGTADQYGDNCEACGATYAPTELKDPKSAISGATPVLKESLHYFFKLPDFEAMLKQWTRSGALQESVANKLAEWLDSGLQQWDISRDAPYFGFEIPDAPGKYFYVWLDAPIGYMASFRNLCARRPELDFDAFWGKDSGAELYHFIGKDIVNFHALFWPAMLEGAGYRKPTALNVHGYLTVNGQKMSKSRGTFVKARTYLDHLDPEYLRYYYASKLGRGVEDLDLNLEDFVQKVNSDLVGKVVNIASRCAGFIHKGNAGVLVGADPAPELLAAFREAAPGIAEAYEARDFNRAMREIMALADRANAWIAEQAPWALAKQEGQQDKVQAVCGLGINLFRQLVIFLKPVLPKLAAAAEAFLNVAPLTWADHQTLLANHQLNPFQPLMTRIEPAKVEAMIEASKEDLAAAAASQPAGNGELVKEPIAAEIDFDAFAAVDLRIALIEKCEFVEGADKLLRLSLDIGDAKRNVFSGIKSAYPDPSALEGRLTLYVANLAPRKMKFGVSEGMVLAAGPGGEEIYLLSPDSGAKPGQRVK