Q9HU65 AF NFT

Glutamine synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid4d7nwj7zy5os6pkx5kfufjdpdkzq7bqphef4ys6efmxnfirvtem/metadata.json
IPFS of structure file: 
bafybeiasklittdshcxnrrdn4jmmdqddsxlwcm2wqdwdp3vj33jhptbze7y/AF-Q9HU65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbD6cf980ad8408d7f6AFc9af4F12d42b6F64d623
First NFT owner address (bech32): 
genesis1h4k0nq9dssyd0a40exh57yk59dhkf43rqqysjw
Current NFT ID #150823 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
150823
Accession (UniProt):
Q9HU65
Name::
Glutamine synthetase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HU65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HU65|GLN1B_PSEAE Glutamine synthetase OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=glnA PE=1 SV=1 MSYKSHQLIKDHDVKWVDLRFTDTKGKQQHVTMPARDALDDEFFEAGKMFDGSSIAGWKGIEASDMILMPDDSTAVLDPFTEEPTLILVCDIIEPSTMQGYERDPRNIAKRAEEYLKSTGIGDTVFVGPEPEFFIFDEVKFKSDISGSMFKIFSEQASWNTDADIESGNKGHRPGVKGGYFPVPPVDHDHEIRTAMCNALEEMGLVVEVHHHEVATAGQNEIGVKFNTLVAKADEVQTLKYCVHNVADAYGKTVTFMPKPLYGDNGSGMHVHMSISKDGKNTFAGEGYAGLSETALYFIGGIIKHGKALNGFTNPSTNSYKRLVPGFEAPVMLAYSARNRSASIRIPYVSSPKARRIEARFPDPAANPYLAFAALLMAGLDGIQNKIHPGDAADKNLYDLPPEEAKEIPQVCGSLKEALEELDKGRAFLTKGGVFTDEFIDAYIELKSEEEIKVRTFVHPLEYDLYYSV