B0JQL4 AF NFT

1,4-dihydroxy-2-naphthoyl-CoA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigrwdifgmjygfz25qpct7hy6vp27tik634kaf5awp2b3l42svwby4/metadata.json
IPFS of structure file: 
bafybeig5p2hoqfbvhqxzvdfkdmxk5pkvqpp66fhnw3j3cxtjmomj5nmclu/AF-B0JQL4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF7e50Fe2e6fcA90573918459ED90298F35ceaE3D
First NFT owner address (bech32): 
genesis17ljslchxlj5s2uu3s3v7mypf3u6uat3axe7qpu
Current NFT ID #101865 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
101865
Accession (UniProt):
B0JQL4
Name::
1,4-dihydroxy-2-naphthoyl-CoA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Microcystis aeruginosa (strain NIES-843)

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 B0JQL4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0JQL4|DNCH_MICAN 1,4-dihydroxy-2-naphthoyl-CoA hydrolase OS=Microcystis aeruginosa (strain NIES-843) OX=449447 GN=MAE_08510 PE=3 SV=1 MPYERLIYLADTDAAGVVYFAHLLSICHEAYEFSLAQFGINIKDFFKDSPVALPITQAEIQFFRPLFCGDRIQIDFTVRSLSENEFQLQYKIYLAEIMVAKAKTRHVCIAPTARKRIPLPESLKHWLGYLSTLEETGI