Q1CFQ1 AF NFT | MOLNFT bioinformatics, blockchain

6-phosphogluconolactonase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihkqr235ka52v34wvqwswlbdalvhykaherosapmehg7cs2uzuzkqe/metadata.json

IPFS of structure file:

bafybeicwz5okefa6ui46uhqwvhsx2c4ukxsemqtcljcaihlubdv75hbqoq/AF-Q1CFQ1-F1-model_v2.pdb

First NFT owner address (eip-55):

0xf0CDB940dff0d2A4aE64023A82962025320FAF68

First NFT owner address (bech32):

genesis17rxmjsxl7rf2ftnyqgag993qy5eqltmg4te4yn

Current NFT ID #2004 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
2004
Accession (UniProt):
Q1CFQ1
Name::
6-phosphogluconolactonase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CFQ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CFQ1|6PGL_YERPN 6-phosphogluconolactonase OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=pgl PE=3 SV=1 MKQAVYVASPDSQQIHVWQLDSAGELTLLQTVDVPGQVQPMAISPNQRHLYVGVRPDFGIVSYHIADDGTLTAAGMAPLPGSPTHIDTDRQGRFLFSASYSFNCVSISPIDTHGVVQAPIQQLDDLPAPHSANIDPTNQILLVPCLKEDKVRLFDLSAEGQLTPHAQADITVAAGAGPRHMAFHPNHQVAYCVNELNSSVDVYQISNNGQEYHLVQSLDAMPADFTGTRWAADIHITPNGRYLYISDRTANLLGIFTVSEDGRVISLVGHHLTEAQPRGFNIDHSGNFLIASGQKSDHIEVYRIDQNTGELTTLKRYPVGKGPMWVSIRGAQNS