Q02LX5 Putative glutamate--cysteine ligase 2 MolNFT, Molecular NFT on GenesisL1

Putative glutamate--cysteine ligase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifsflakhw6arynyos2fynrqhndi5pekpnyv5cw5fpcf6fnptskpwe/metadata.json

IPFS of structure file:

bafybeig3vvvsm2fujjdurn4keg5r5727kmrsviggqr7euoa3plugrvlety/AF-Q02LX5-F1-model_v2.pdb

First NFT owner address (eip-55):

0x88619Af48ae27e0a14d5caEcee59E5Cc8a1B0DB1

First NFT owner address (bech32):

genesis13pse4ay2uflq59x4etkwuk09ej9pkrd3avh0u7

Current NFT ID #144363 owner (web3):

0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
144363
Accession (UniProt):
Q02LX5
Name::
Putative glutamate--cysteine ligase 2
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN UCBPP-PA14)

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 Q02LX5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q02LX5|GCS2_PSEAB Putative glutamate--cysteine ligase 2 OS=Pseudomonas aeruginosa (strain UCBPP-PA14) OX=208963 GN=PA14_36370 PE=3 SV=1 MTHDLAASGLRFGIEEEFFLLDASDLDIVRSAPAGFVAACRDTLGEHFAEEMFECQVEVASPVFSTLAEAARFHGQARQRLAHLAMDFGLRSLCVGTHPFADWRRARSNPAAHFARLFEDQGRVARRSLVCGLHVHVEIPPSHDRMAVLQRVLPWLPLLLALSASSPFRGGRRSGLASYRRALCGEWPRMNIPPALPDEDAYRRHLALLREAGCIREDGQVWWMIRPSSHVPTLELRICDACPRLADALSLAGLFRALVGEALGAGPRTLPVARDACLEENYWQALRYGCAGRYLVGGRAVGAGDWLEMAWRQCRPQARQGNEWAYEHARGLLGETSASRQLRRYQTLRAAGQERHVALRRLVEELLEENLQPALAGPAGKRAHEGGRSFRPAAGAPMSIRGQE

Q02LX5 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q02LX5 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience