Q9LKR7 AF NFT

Beta-glucosidase 24

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihoemvomzv6hppjwixpd5rnkguqhyqjbixth7d3ydlhopdylqvodi/metadata.json
IPFS of structure file: 
bafybeie4lbbffkbnvajukac4h5voktvxxkwtebjcczjsrjrmee54klf7t4/AF-Q9LKR7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80fFD76c298b93E8762b4d46AD7aBea1fcDf9723
First NFT owner address (bech32): 
genesis1srlawmpf3wf7sa3tf4r26747587dl9er79e9t4
Current NFT ID #42707 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
42707
Accession (UniProt):
Q9LKR7
Name::
Beta-glucosidase 24
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9LKR7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LKR7|BGL24_ARATH Beta-glucosidase 24 OS=Arabidopsis thaliana OX=3702 GN=BGLU24 PE=2 SV=2 MVLQKLPLMSIGLLWLLIIVGPLVNADGPVCPPKPSDKLSRAHFPKGFLFGTATAAYQVEGAVNETCRGPSVWDIYCKKYPEKCNGDNGTQAVDFFYRYKEDIQLMKNLNTDSFRLSISWTRIFPHGREENGVSKSGVQFYHDLIDELKRNGIIPFVTVFHWDTPQTLENEYGGFLSAHIVKDFREYAEFVFKEYGGKVKHWITFNEPWVFAHAGYDVGKKAPGRCSPYAKDETVKGDCLGGRSGYEAYLVSHNLLNAHAEAVEAFRQCEKCKGGKIGIAHSPAWFEPHDFKDEQSGATIDRALDFIMGWHLDTTMFGDYPQTMKDIVGHRLPKFTTEQIAKLKNSADFVGINYYTSTFSKHLEKPNHAEPKFKQDSLVEWKNKNVNNITIGSKPETGPLPVYSTGFRKVLKYVKDKYANPEIIIMENGYGENLKENDSVENGTADYNRESYLKKHLWSMHKAICEDKVNVTGYFVWSLMDNFEWQDGFKNRFGLYYIDYKNNLTRHEKVSGKYYREFLSEGVRPSAIKKDEL