Q5E3Z7 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif6ukt756fq44lqtxmbrykh72w6ke6pjoixhwcgexr4gkx2vzzwwq/metadata.json
IPFS of structure file: 
bafybeihpj4lrflydgajtyaxy6oe4zopuydqggfbg4faoyvz77zakmx6k7y/AF-Q5E3Z7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7782F4817b37743d738e9aF842bf74bd50f2015E
First NFT owner address (bech32): 
genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a
Current NFT ID #450614 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450614
Accession (UniProt):
Q5E3Z7
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
ALIIVIBRIO FISCHERI (STRAIN ATCC 700601 / ES114)

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 Q5E3Z7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5E3Z7|SYM_ALIF1 Methionine--tRNA ligase OS=Aliivibrio fischeri (strain ATCC 700601 / ES114) OX=312309 GN=metG PE=3 SV=1 MATDPRKILVTCALPYANGSIHLGHMLEHIQADIWVRYQRLRGNDVNFICADDAHGTPIMLKAQQMGISPEEMIAAVSEEHQKDFAGFDISFDNYHSTHSDENRELASHIYLELKKNGFITSRTISQLFDPEKEMFLPDRFVKGTCPKCKAEDQYGDNCDNCGETYSPTDLINPKSAVSGATPVMKDSEHFFFDLPQFESMLKEWTRSGSLQSETANKMQEWFESGLQQWDISRDAPYFGFEIPGETNKFFYVWLDAPIGYMGSFKNLCNKRDDLNFDEYWKKDSTTELYHFIGKDIVYFHSLFWPAMLDGAGFRKPNNVFVHGYVTVNGAKMSKSKGTFIKAGTYLNHLDPECLRYYYAAKLNSRIDDLDLNLEDFTQRVNSDVVNKIVNLASRNAGFITKRFDGKLADNFVEPELYNEFIAAADRIAELYETREFGRAIREITALADKANQYIDEKAPWVLAKEEGKEQELQEVSSVGINLFRVLMAYLKPVMPELAARTEAFLNETLTWEGVAQPLVAHEITKFKALFARIDPKKVEAMIEESKEDAAIEMAAKEKAEAEKEKASQTELDKDPIADEIEFDAFEAVDMRIARIISCEEVPKANKLLKFQLDIGGETRQVFSGIKSAYKPEELEGKLTVMVANLKPRKMKFGMSEGMILAAGPGGKELWILEPHEGAQPGMRVM