A0KNI3 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabdccx2uqteqbkbqcnncmnnrogf7cakxrlfxe4bqc7voitu5tqrq/metadata.json
IPFS of structure file: 
bafybeic2yxdmpkuqivs7sdunfndhefg72sw6vmt3jjjfv7m6wcq5n2wspy/AF-A0KNI3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFfdda12F81300c334dA5663cd65680B4a9a77303
First NFT owner address (bech32): 
genesis1llw6ztupxqxrxnd9vc7dv45qkj56wucrcgj4a0
Current NFT ID #27252 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
27252
Accession (UniProt):
A0KNI3
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049)

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 A0KNI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KNI3|AROQ_AERHH 3-dehydroquinate dehydratase OS=Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049) OX=380703 GN=aroQ PE=3 SV=1 MSQKHRILLLNGPNLNLLGKREPGIYGSKTLDEIVADLTHNADELGVTLEHLQSNAEHELVGRIHQAMGQVDFIIINPAAFTHTSVAIRDALLGVAIPFIEVHLSNVHAREPFRHHSYLSDVAKGVICGLGADGYQFALTAAVHQLRAA