A4QR60 AF NFT

Glutamyl-tRNA(Gln) amidotransferase subunit A, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeida5l7pgzsia2yewrpvenrwpxxvxmuebu6wctcl6l6tk6dlx3dn64/metadata.json
IPFS of structure file: 
bafybeiddhacqxhfbfzriodrdsf66hquaclrukrlkhtshagxz3wntbiw3pe/AF-A4QR60-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1c26Be528275fF7c2517BA9cb140D61EBc080b81
First NFT owner address (bech32): 
genesis1rsntu55zwhlhcfghh2wtzsxkr67qszupcys22v
Current NFT ID #141419 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
141419
Accession (UniProt):
A4QR60
Name::
Glutamyl-tRNA(Gln) amidotransferase subunit A, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
MAGNAPORTHE ORYZAE (STRAIN 70-15 / ATCC MYA-4617 / FGSC 8958)

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 A4QR60 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4QR60|GATA_MAGO7 Glutamyl-tRNA(Gln) amidotransferase subunit A, mitochondrial OS=Magnaporthe oryzae (strain 70-15 / ATCC MYA-4617 / FGSC 8958) OX=242507 GN=MGG_13483 PE=3 SV=1 MLVHGRRLGLLLGRSHVAAPKHTSHLPRRTVHLNHFVSKGEAASEAEPPQSTFTVAVKDNIATQAHPTTCASNILRDYTSPYEATVVRQLRRRGARVVGTTNLDEFGMGTHSTHSAHGPVASPAGRSAGGSSGGSAVAVAAGEVEVALGTDTGGSVRLPAAYNGVVGFKPSYGMLSRYGVVPYANSLDTVGLLARSVERIRDLVVGEGLWAQHDDKDPTSLSAAARLRCASGRTGYKGEAAKVGWEGLTFGIPLEYNIFELDPLIREAWEEVAALLQSLGANVVPVSLPTTRQALSAYYVLAPAEASSNLAKYDGVRYGNPGPESENEGGVLYSAARGAGFGDEVKRRILLGAYSLSSEAMDNYFVQAQKVRRLVRGDFDRVFLLDNPLVDKEPTEEGFGEEAEQADLADLHEDVPLLNKRGPARVDFILSPTAPTPAPTLDEALSQTSLDSATNDVFTVPASLAGLPAISLPVDMKEDVHGVGRFAGIQIIGQYWDDARLLDVAVALRGVLGRGLV