Q0CR35 AF NFT

Probable glucan 1,3-beta-glucosidase A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigclpd7wodtenftmatmx23btx7caqilyb3fp545iegaowmrh365li/metadata.json
IPFS of structure file: 
bafybeib243ajb2boy3g6zmby4uu4ncudiupoi6z43sogs5pdvd6jar4gni/AF-Q0CR35-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x765870ac5257bbcCF1F57218cfD50ce0Fa6D0e54
First NFT owner address (bech32): 
genesis1wev8ptzj27aueu04wgvvl4gvurax6rj5hxcg8m
Current NFT ID #122395 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
122395
Accession (UniProt):
Q0CR35
Name::
Probable glucan 1,3-beta-glucosidase A
Experimental Method:
Predicted structure
Sequence source:
Aspergillus terreus (strain NIH 2624 / FGSC A1156)

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 Q0CR35 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CR35|EXGA_ASPTN Probable glucan 1,3-beta-glucosidase A OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=exgA PE=3 SV=1 MLYNLSKAVLALSVLAASADAAGIRLEKRASTFDYETEMVRGVCLGGWLVLEPWLSPGLFDAAPDGAVDEWTYTEILGQDEAKARLIGHWDTFITEQDFFDIAAAGMNHVRIPIGYWAVEALPGDPYVDGQLEYLDRAIEWAGAAGLKVIVDLHGAPGSQNGFDNSGRKGAIQWGQGDTLGQTVNAFRKLAERYVPSSDVVTAIEAVNEPFIPGGVNEDQLKEYYQQAYDIVTQMSPDVDLVFSDGFINPTPWNGFISDSGNIVMDNHHYEVFDINLLRMSVDDHVRSVCDFGRTQLAPATKPVVVGEWTGAMTDCARYLNGRGVGARYDGAMGGESVGDCGPFIQGSVSDLSPDDQKNMRRFIEAQLDAWEMKSGWLFWNWKTEQGAPGWDMKDLLDNGVFPFPLESRKYPGQCG