B7LJZ2 AF NFT

6-phosphogluconolactonase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig4v42jrisomhackwshudk4z7tdltstem2lld6lszaeoyhz6qvr5y/metadata.json
IPFS of structure file: 
bafybeidxyv4426tshqhnpy3dkexjynsdouj74l4qyq3fekutlenwtve374/AF-B7LJZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x00C1D4799754242873a61024d00991128627fe20
First NFT owner address (bech32): 
genesis1qrqag7vh2sjzsuaxzqjdqzv3z2rz0l3q0slzsr
Current NFT ID #1945 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
1945
Accession (UniProt):
B7LJZ2
Name::
6-phosphogluconolactonase
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

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 B7LJZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LJZ2|6PGL_ESCF3 6-phosphogluconolactonase OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=pgl PE=3 SV=1 MKQTVYIASPESQQIHVWNLNHDGTLTLTQVVDVPGQVQPMVVSPDKRYLYVGVRPEFRVLAYRIAPDDGALTFAAESALPGSPTHISTDHQGRFVFVGSYNAGSVSVTRLEDGLPVEVVDVVEGLDGCHSANITPDNRTLWVPALKQDRICLFTVSDDGYLAAQDPAEVTTVEGAGPRHMVFHPNEQYAYCVNELNSSVDVWELKDPHGNIECVQTLDMMPADFSDTRWAADIHITPDGRHLYACDRTASLITVFSVSEDGSVLTKEGYQSTETQPRGFNVDHSGKYLIAAGQKSHHIAVYEIHGEQGLLTEKGRYAVGQGPMWVVVNAH