Q9SLA0 AF NFT | MOLNFT bioinformatics, blockchain

Beta-glucosidase 14

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifm5gplvh3h2zez6vn4flgqvfyxahjebu7a5hajrggubugirthsri/metadata.json

IPFS of structure file:

bafybeica43cabnxjjbyof5zdulfbmzlxtnqcmwjo4fkfpvsgoecm4kdtyq/AF-Q9SLA0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x39503d07CAEBE301c26d2951764fa147CEd0a274

First NFT owner address (bech32):

genesis189gr6p72a03srsnd99ghvnapgl8dpgn55eh786

Current NFT ID #42682 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
42682
Accession (UniProt):
Q9SLA0
Name::
Beta-glucosidase 14
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 Q9SLA0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SLA0|BGL14_ARATH Beta-glucosidase 14 OS=Arabidopsis thaliana OX=3702 GN=BGLU14 PE=3 SV=2 MTSKYFSVLVFIILASNEVVAKRHSSTPKLRKTDFPEDFIFGAATSAYQVEGAAQEDGRGPSIWDTFSEKYPEKIKDGSNGSIADDSYHLYKEDVGLLHQIGFNAYRFSISWSRILPRGNLKGGINQAGIDYYNNLINELLSKGIKPFATIFHWDTPQDLEDAYGGFRGAEIVNDFRDYADICFKSFGDRVKHWITLNEPLTVVQQGYVAGVMAPGRCSKFTNPNCTAGNGATEPYIVGHNLILAHGEAIKVYRKKYKASQKGQVGIALNAGWNLPYTESAEDRLAAARAMAFTFDYFMEPLVTGKYPVDMVNNVKGGRLPTFTSKQSNMLKGSYDFIGINYYSSSYAKDVPCSSENVTMFSDPCASVTGERDGGIRDLILYAKYKFKDPVMYITENGRDEASTGKILLKDGDRIDYYARHLKMVQDAILIGANVKGFFAWSLLDNFEWASGYTVRFGLVYVDFNDRRKRYLKKSAHWFRHLLNGKKEN