Q0KFG1 AF NFT

Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibpej553hoymdexga2rrei6jgqkyhhn2hmo4ocdst6x2qcgqbg6sy/metadata.json
IPFS of structure file: 
bafybeicnsha23bhj5h5nfcmognlddzek3bo3xzzmzbnjlg3rwahn5nwm7e/AF-Q0KFG1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x04811c5106d744526F766F547249963EBAFAB390
First NFT owner address (bech32): 
genesis1qjq3c5gx6az9ymmkda28yjvk86a04vusfz063p
Current NFT ID #141909 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
141909
Accession (UniProt):
Q0KFG1
Name::
Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B
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 Q0KFG1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0KFG1|GATB_CUPNH Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B OS=Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337) OX=381666 GN=gatB PE=3 SV=1 MQWEVVIGLETHAQLSTASKIFSGTSTAFGAEANTQASPVDLALPGVLPVLNKGAVERAIQFGLAIGATISPRSVFARKNYFYPDLPKGYQISQYEIPVVQGGTITIQVEGRKGEFYEKTVNLTRAHLEEDAGKSLHEDFAGMTGIDLNRAGTPLLEIVTEPDMRSAAEAVAYAKALHSLVVWLGICDGNMQEGSFRCDANVSVRPLGQKEFGTRREIKNLNSFRFLQQAIEYEVQWQIAEIEDGRKIQQATVLFDPETGETRAMRTKEDAHDYRYFPDPDLMPLEIDASWVERVRGELPELPVAMQARFVSQYGLSAYDATTLTATKAFAAYYEAVVADAGAANAKPAANWLMGDVASQLNREGIAIDAAPVTPAQLARLLARIADGTVSNNTAKKDVFPAMWAGEHGGDADAIIAAKGLKQMSDTGELEKIIDDVLAANARSVEEFRAGKEKAFNALVGQAMKATKGKANPAQVNELLKKKLG