Q17WS3 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeictxf3nb7fqe6acaf3sachbbt2c72re3tcwpdg6bnv7cyvj5huoem/metadata.json
IPFS of structure file: 
bafybeihujufmhtyhufhf4nn5n42r73775jcnpieg5cpgt6ny4xyfxu4bku/AF-Q17WS3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52be76af066Cd5Ef80540DEF3EA5104E6EeA759B
First NFT owner address (bech32): 
genesis122l8dtcxdn27lqz5phhnafgsfehw5avm3mnvzf
Current NFT ID #27384 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
27384
Accession (UniProt):
Q17WS3
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
Helicobacter acinonychis (strain Sheeba)

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 Q17WS3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17WS3|AROQ_HELAH 3-dehydroquinate dehydratase OS=Helicobacter acinonychis (strain Sheeba) OX=382638 GN=aroQ PE=3 SV=1 MKILVIQGPNLNMLGHRDPRLYGMVTLDQIHEIMQTFVKQSNLDVELEFFQTNFEGEIIDKIQESVGSDYEGIIINPGAFSHTSIAIADAIMLAGKPVIEVHLTNIQAREEFRKNSYTGAACGGVIMGFGPLGYNMALMAMVNILAEMKAFQEAQQNNPNNSINNINN