Q9X2N2 AF NFT

6-phosphogluconolactonase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaklzcls3p5kulzjh2nka5cbbqaf2bykripol3v7fb42ox4onogi4/metadata.json
IPFS of structure file: 
bafybeib2rzi3y6ug7wgbejowfzbvnnn63ctz3w2y57xttcp6telrahorgi/AF-Q9X2N2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #1963 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
1963
Accession (UniProt):
Q9X2N2
Name::
6-phosphogluconolactonase
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 Q9X2N2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9X2N2|6PGL_PSEAE 6-phosphogluconolactonase OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=pgl PE=3 SV=2 MAISELKLPAGVGLQVWGSAAEQARGLAAEVAGRLRSALAEQGQALLVVSGGRSPVAFLEALSEEPLDWSRITVSLADERWVPESHADSNAGLVRRHLLRGEAAKARFIGLYQPAASLEEAAELADHHLHELPLPIDVLVLGMGDDGHTASLFPNSPGLDLAMDPQGTRRCLPMWAPSVPHQRLTLPRAVLAAAKVQLLAIQGQSKLATLNAALAVEDERRMPVRAFLRAPLTIHWYP