Q93ZI4 AF NFT | MOLNFT bioinformatics, blockchain

Beta-glucosidase 10

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicl5nwu3eyq5sehmhrzb4h6egdyzk2qjtwdb55uuyqupaujesnitu/metadata.json

IPFS of structure file:

bafybeielgbjvgiyeayxbh7oq3uz5tnkjckraovnkojvepuik55g7pndcsy/AF-Q93ZI4-F1-model_v2.pdb

First NFT owner address (eip-55):

0xB35df660264f41795De49C83276C108A4ba91ADE

First NFT owner address (bech32):

genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93

Current NFT ID #42673 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
42673
Accession (UniProt):
Q93ZI4
Name::
Beta-glucosidase 10
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 Q93ZI4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q93ZI4|BGL10_ARATH Beta-glucosidase 10 OS=Arabidopsis thaliana OX=3702 GN=BGLU10 PE=2 SV=1 MKLYSLLSVFLVILLATSDSDAFTRNNFPKDFLFGAATSAYQWEGAVAEDGRTPSVWDTFSHTYNRGNLGNGDITSDGYHKYKEDVKLMAEMGLESFRFSISWSRLIPNGRGLINPKGLLFYKNLIKELISHGIEPHVTLYHYDLPQSLEDEYGGWINRKIIEDFTAYADVCFREFGEDVKLWTTINEATIFAIGSYDQGISPPGHCSPNKFINCTSGNSSTEPYLAGHNILLAHASASKLYKLKYKSTQKGSIGLSIFAFGLSPYTNSKDDEIATQRAKAFFYGWMLKPLVFGDYPDEMKRTVGSRLPVFSEEESEQLKGSSDFIGIIHYTTFYVTNKPSPSIFPSMNEGFFKDMGVYMISAANSSFLLWEATPWGLEGILEYIKQSYNNPPIYILENGMPMGRDSTLQDTQRIEFIQAYIGAMLNAIKNGSDTRGYFVWSMIDLYELLSGYTTSFGMYYVNFSDPGRKRTPKLSASWYTGFLNGTIDVATQDTIQLQSNISGSSSL