Q0KFF8 AF NFT

Glutamyl-tRNA(Gln) amidotransferase subunit A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiasgamojqo7jucaz72rjjuabvsfcjudtvrvgblivhwz3haihdfiea/metadata.json
IPFS of structure file: 
bafybeicvprby6kvok4yjo6vqo3nwklmcqunwiwzqftekpdtmhoiueseynm/AF-Q0KFF8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf5567289a402247712A16D11AE2AE49A271D7451
First NFT owner address (bech32): 
genesis174t89zdyqgj8wy4pd5g6u2hyngn36az3gvkhqv
Current NFT ID #141293 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
141293
Accession (UniProt):
Q0KFF8
Name::
Glutamyl-tRNA(Gln) amidotransferase subunit A
Experimental Method:
Predicted structure
Sequence source:
Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337)

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 Q0KFF8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0KFF8|GATA_CUPNH Glutamyl-tRNA(Gln) amidotransferase subunit A OS=Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337) OX=381666 GN=gatA PE=3 SV=1 MPFSADSVTSLRQLADALAARSVSAEELAREYLARIEQAAALNAFIHVDAERTLAQARAADERRARGEAAPLTGVPIAHKDVFVTRGWRATAGSKMLANYESPFDATVVERMAAAGMVTLGKTNMDEFAMGSSNENSHFGPVRNPWDTSRVPGGSSGGSAAAVAAGLAPAATGTDTGGSIRQPSSFSGITGIKPTYGRVSRYGMIAFASSLDQAGPMAHSAEDCALLLNAMAGFDPRDSTSITPAQGGVDEDYTRLLGQPRAGATTERPLAGLRIGLPKEYFGKGLSADVEQAVRAALAEYEKLGATLVEVTLPKTELSIPVYYVIAPAEASSNLSRFDGVRYGHRAAEYRDLLDMYKKSRAEGFGAEVKRRIMVGTYVLSHGYYDAYYLQAQKIRRIIADDFQRAFAQCDVIMGPVAPTVAWKLGEKTSDPVQMYLADIFTLSTSLAGLPGMSVPCGFGEAGMPVGLQLIGNYFDEARLLQTAHAFQQATDWHLRRPGKA