C9SU87 AF NFT

Catabolic 3-dehydroquinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifcmuv5g3iio3lao346yvgkowrxpdhon5butselt6slckjgh4zdxe/metadata.json
IPFS of structure file: 
bafybeier4vdp5j3yd6jw7g5alcgcbb2kucyjjq5kpsyik73yp6m3bsa65q/AF-C9SU87-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8A26B6CB9a581dc8b6062B396e50E819766d0D4a
First NFT owner address (bech32): 
genesis13gntdju6tqwu3dsx9vuku58gr9mx6r22av5j3d
Current NFT ID #576 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
576
Accession (UniProt):
C9SU87
Name::
Catabolic 3-dehydroquinase
Experimental Method:
Predicted structure
Sequence source:
Verticillium alfalfae (strain VaMs.102 / ATCC MYA-4576 / FGSC 10136)

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 C9SU87 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C9SU87|3DHQ_VERA1 Catabolic 3-dehydroquinase OS=Verticillium alfalfae (strain VaMs.102 / ATCC MYA-4576 / FGSC 10136) OX=526221 GN=qutE PE=3 SV=1 MAARILLINGPNLNLLGTREPSVYGSTTLADVVAQAKTQAASLNVHLEAFQSNHEGAIVDRIHEARGAVDAIVINPGAYTHTSVAIRDALLGVDIPFVETHISNVHAREEWRRHSYFSDKAVAVICGLGTYGYTAAIEFAARHMKMKDRV