Q81FQ2 AF NFT

3-dehydroquinate synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihefqubukbu6hhbz3wnehgzos77w56l75rbpacd4ydkp3mzmancfm/metadata.json
IPFS of structure file: 
bafybeier4xfjwpcoe5baiz5a7f33233mxsj7x3o63kjgowaicjfjct7fym/AF-Q81FQ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x155b8f623dc221FbDC853e78Bf3D4a5c5e354ea3
First NFT owner address (bech32): 
genesis1z4dc7c3acgslhhy98eut7022t30r2n4rgqdyfz
Current NFT ID #24850 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
24850
Accession (UniProt):
Q81FQ2
Name::
3-dehydroquinate synthase
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q81FQ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81FQ2|AROB_BACCR 3-dehydroquinate synthase OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=aroB PE=3 SV=1 MGNIHIQTKSKEYDVHVGKEVLSNLTTIVQNMQPAVSNVMIISDEAVASLHLQTVIDALQVEQHVFSFVVPSGEKEKSFENFYAAHTSALENKLDRNSLILALGGGMIGDLAGFVAASFMRGIRFVQVPTTLLAHDSAVGGKVAINHPLGKNMIGAFHQPEAVVYHTPFLQSLPEKEWRSGYAEVIKHALIGDVELYHWLKEEVQTLADLHDEKLIHILTKAIPVKANVVSQDETEKGVRAHLNFGHTLGHALEKELGYGNITHGDGVAVGMLFAIFLSEQVYKVDLAYEDMKQWFLKYGYPKMPGDLNVERIVQLMKQDKKANAGAIHMVLMQEYGVVNVVSISDETVHIALEAFQKDMV