Q9ZFM2 AF NFT

Beta-xylosidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifx4fi7uap5lmx6mppqd7gdqut7kqczzim2in22lekdluonumfxby/metadata.json
IPFS of structure file: 
bafybeib5xlgexjeegzavnud34hth54jrmxxmf35yspfogc3jybz2u2djze/AF-Q9ZFM2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB
First NFT owner address (bech32): 
genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26
Current NFT ID #502513 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
502513
Accession (UniProt):
Q9ZFM2
Name::
Beta-xylosidase
Experimental Method:
Predicted structure
Sequence source:
GEOBACILLUS STEAROTHERMOPHILUS

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 Q9ZFM2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZFM2|XYNB_GEOSE Beta-xylosidase OS=Geobacillus stearothermophilus OX=1422 GN=xynB PE=1 SV=1 MKVVNVPSNGREKFKKNWKFCVGTGRLGLALQKEYLDHLKLVQEKIGFRYIRGHGLLSDDVGIYREVEIDGEMKPFYNFTYIDRIVDSYLALNIRPFIEFGFMPKALASGDQTVFYWKGNVTPPKDYNKWRDLIVAVVSHFIERYGIEEVRTWLFEVWNEPNLVNFWKDANKQEYFKLYEVTARAVKSVDPHLQVGGPAICGGSDEWITDFLHFCAERRVPVDFVSRHAYTSKAPHKKTFEYYYQELELEPPEDMLEQFKTVRALIRQSPFPHLPLHITEYNTSYSPINPVHDTALNAAYIARILSEGGDYVDSFSYWTFSDVFEEMDVPKALFHGGFGLVALHSIPKPTFHAFTFFNALGDELLYRDGEMIVTRRKDGSIAAVLWNLVMEKGEGLTKEVQLVIPVSFSAVFIKRQIVNEQYGNAWRVWKQMGRPRFPSRQAVETLPSAQPHVMTEQRRATDGVIHLSIVLSKNEVTLIEIEQVRDETSTYVGLDDGEITSYSS