Q9FLU8 AF NFT

Beta-glucosidase 32

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiexsuebm35zas3ufn4ppjwkxnnpv34heuv65mfk4as4cx5mnmpcju/metadata.json
IPFS of structure file: 
bafybeiaq5r56w52s7tp2szl63ki2p234edpkr5ogff3ymtizg2hrftbz5e/AF-Q9FLU8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x92f96107f8fA08E20b96ef0480Fa095378eF082F
First NFT owner address (bech32): 
genesis1jtukzplclgywyzukauzgp7sf2duw7zp08gvphc
Current NFT ID #42730 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
42730
Accession (UniProt):
Q9FLU8
Name::
Beta-glucosidase 32
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 Q9FLU8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FLU8|BGL32_ARATH Beta-glucosidase 32 OS=Arabidopsis thaliana OX=3702 GN=BGLU32 PE=2 SV=2 MAIKLIALVITICVASWDSAQGRSLRFSTTPLNRYSFPPHFDFGVASSAYQYEGAVEEGGRSPSIWDNFTHAFPERTNMDNGDVAVDFYHRYKDDIKLIKEMNMDSFRFSLSWSRILPSGKLSDGVNKEGVQFYKNLIDELIKNGIKPFVTIYHWDIPQALDDEYGSFLSPRIIDDFRNFARFCFQEFGDKVSMWTTFNEPYVYSVSGYDAGNKAIGRCSKWVNSLCIAGDSGTEPYLVSHNLLLAHAAAVEEFRKCDKISQDAKIGIVLSPYWFEPYDIDSESDKEAVERALVFNIGWHLSPLVFGDYPETIKTTAGNRLPSFTKEQSMMLQNSFDFIGINYYTARFVAHDLHVDLSRPRFTTDQHLQYKLTNRSGDHISSESDGTKILWSYPEGLRKLLNYIKNKYNNPTIYITENGFDDYENGSVTREEIIEDTKRIEYHQNHLQQLQKAITEDGCNVKGYFTWSLLDNFEWEHGYAVRFGLYYVDYKNGLSRHAKNSAKWFKHFLQRSGKPMPLDLFKSVKNWWSAIPMI