Q32EZ9 AF NFT | MOLNFT bioinformatics, blockchain

6-phosphogluconolactonase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibnf7csm5cwwcfrnsc5xjglzfhcjbhyh6p5vefvophlbkqabaordu/metadata.json

IPFS of structure file:

bafybeiafuqh5mwgbjhnaljhr7qgaopmyob43234juf3uestel4i3hqeoje/AF-Q32EZ9-F1-model_v2.pdb

First NFT owner address (eip-55):

0x0EA189b2343A464f560b44103f6A3396Da1dA8a9

First NFT owner address (bech32):

genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht

Current NFT ID #1987 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
1987
Accession (UniProt):
Q32EZ9
Name::
6-phosphogluconolactonase
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q32EZ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32EZ9|6PGL_SHIDS 6-phosphogluconolactonase OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=pgl PE=3 SV=1 MKQTVYIASPESQQIHVWNLNHEGALTLTQVVDVPGQVQPMVVSPDKRYLYVGVRPEFRVLAYRIAPDDGALTFAAESALPGSPTHISTDHQGQFVFVGSYNAGNVSVTRLEDGLPVGVVDVVEGLDGCHSANISPDNRTLWVPALKQDRICLFTVSDDGHLVAQDPAEVTTVEGAGPRHMVFHPNEQYAYCVNELNSSVDVWELKDPHGNIECVQTLDMMPENFSDTRWAADIHITPDGRHLYACDRTASLITVFSVSEDGSVLSKEGFQPTETQPRGFNVDHSGKYLIAAGQKSHHISVYEIVGEQGLLHEKGRYAVGQGPMWVVVNAH