A4QB64 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavfslgf7dpgfiztyt7oiqdodbto5xog63zjtcvilgypnhvismdre/metadata.json
IPFS of structure file: 
bafybeie75gxui25jajanx5iu3lndh2dtvmw3l7dwsn6pdml3naoubbigdq/AF-A4QB64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01001dc0c2B5C887e3EcBADC77D1357Fe8e7de78
First NFT owner address (bech32): 
genesis1qyqpmsxzkhyg0clvhtw805f40l5w0hnc25elal
Current NFT ID #27342 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
27342
Accession (UniProt):
A4QB64
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium glutamicum (strain R)

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 A4QB64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4QB64|AROQ_CORGB 3-dehydroquinate dehydratase OS=Corynebacterium glutamicum (strain R) OX=340322 GN=aroQ PE=3 SV=1 MLGKILLLNGPNLNMLGKREPDIYGHDTLEDVVALATAEAAKHGLEVEALQSNHEGELIDALHNARGTHIGCVINPGGLTHTSVALLDAVKASELPTVEVHISNPHAREEFRHHSYISLAAVSVIAGAGIQGYRFAVDILANLKK