Q6C6I6 AF NFT

Glutamyl-tRNA(Gln) amidotransferase subunit B, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzzts6bjuaj4iwvy5fvds7a2skdv25ggkjejluahvea7r676nbou/metadata.json
IPFS of structure file: 
bafybeie33yzn42hk4n5qv7chnwkxuc5oncful6hri4q4ntccy326zvbvkm/AF-Q6C6I6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D671490EE06E75975e90D7F99F73B20BE618744
First NFT owner address (bech32): 
genesis1p4n3fy8wqmn4ja0fp4lenaemyzlxrp6y5ma6w5
Current NFT ID #142338 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
142338
Accession (UniProt):
Q6C6I6
Name::
Glutamyl-tRNA(Gln) amidotransferase subunit B, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
YARROWIA LIPOLYTICA (STRAIN CLIB 122 / E 150)

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 Q6C6I6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6C6I6|GATB_YARLI Glutamyl-tRNA(Gln) amidotransferase subunit B, mitochondrial OS=Yarrowia lipolytica (strain CLIB 122 / E 150) OX=284591 GN=PET112 PE=3 SV=1 MLRISRDTKIVARVTHVTKSRTYATSTAPKLVVGLEIHTQLLTKRKLFSSTTVPSLSTTPNTKVSYFDAALPGTQPRLNPQALLLALKAAIALRCDVKELTAFDRKHYFYPDQPAGYQITQHRKPLAINGKLKLNWWDLYSQNEWPALLAKEANTDSADTRDLASRSIDVPILQIQLEQDTGKSTYHGSETLVDLNRTNMPLIEIVTAPVIHTASHAAAFVKKLQTLLKRIGVSTGEFESGAMRVDVNVSIGEDGERCEIKNLPNTSSIEAAIEAEYNRQVELVGKGGTVEKSTMGFDGKKTFILRSKENAVDYRYMPDPELPLIRLSKGTLLKVRDSLPELPDKVFSRLTDDPYYVTTKDALTLIHVAGLSDYYFEVFERVSEETEDAKALKQPVNWVVNELLGRVRKADEARAAESAESGEPDLGAHDYNSIYPPAKLAELILAVHNHQLTLPSARLLFQHFLANPEDLKNMTIEQAITEFELGESGDVVDACRQVINEHESVVKSVKDGSKPGSIKFLIGMVMKATQGRINPAVIERQLKTEMRHM