Q1QDJ5 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigfu2kburg6xxeveuxbqj5azm2tgttz5idhyuigv53nudf6f4f4de/metadata.json
IPFS of structure file: 
bafybeicl2wtsbfoctdqsbniv6mj4crjngykf2dum43fco6wfmgljsnbwty/AF-Q1QDJ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD0b526Adb417eAE2429fFA90bDB5772CD9896317
First NFT owner address (bech32): 
genesis16z6jdtd5zl4wys5ll2gtmdth9nvcjcchhr2qze
Current NFT ID #142169 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
142169
Accession (UniProt):
Q1QDJ5
Name::
Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B
Experimental Method:
Predicted structure
Sequence source:
PSYCHROBACTER CRYOHALOLENTIS (STRAIN ATCC BAA-1226 / DSM 17306 / VKM B-2378 / K5)

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 Q1QDJ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1QDJ5|GATB_PSYCK Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B OS=Psychrobacter cryohalolentis (strain ATCC BAA-1226 / DSM 17306 / VKM B-2378 / K5) OX=335284 GN=gatB PE=3 SV=1 MNTATTTDNNAVRKHDVRKELFVDGYEVVIGIEIHCQLNTESKIFSSAPTDFGHEPNSQASIVDLGLPGVLPVLNAGVVDRALKFGIGVNAELGLFNTFDRKNYFYPDLPKGYQITQMANPIVGEGYIDVVVNEGEKNEYPKRMGITRAHLEEDAGKSVHDAVDGMTGVDLNRAGTPLIEIVSEPDMRSAHEALAYIKAIHQLVTWLGISDAIMAEGSFRCDCNVSIRKPGAELGTRTELKNLNSFRFIERAINREIERQIDILEDGGKVVQATMLYDPERDETRVMRTKEDANDYRYFPDPDLLPVRIEQHTVDSIRAAMPELPVARRARFEEALGLSEYDARILTGSRQIADYFENVVAEVGQADAKMAANWVMGDLLGALNKDDKEITDSPISAKQLAGMLSRIKDDTLSGKLAKKVFSALYEREGGDADDAADKIIEEKGLKQETDTGAIKAIVEDVIAKNAAMVEEYRGGKEKAFNGLVGQVMKASRGSANPQQVNQILKELLG