Q2UUZ1 AF NFT

Probable glucan endo-1,3-beta-glucosidase eglC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibgsz2yx2a5teqyh4rh4kicqo2naetqwjqevkrb6iyvxl6wkoqxwi/metadata.json
IPFS of structure file: 
bafybeifqgzvkmpegzdlzkbt3qffvsgjiav33dh6fvw5n6b2hmiwezyvgzy/AF-Q2UUZ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF50a6eF515aB40F7071cB2E9F5e6410c6BD08d86
First NFT owner address (bech32): 
genesis1759xaag44dq0wpcukt5ltejpp34aprvx6ma7wg
Current NFT ID #114585 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
114585
Accession (UniProt):
Q2UUZ1
Name::
Probable glucan endo-1,3-beta-glucosidase eglC
Experimental Method:
Predicted structure
Sequence source:
ASPERGILLUS ORYZAE (STRAIN ATCC 42149 / RIB 40)

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 Q2UUZ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2UUZ1|EGLC_ASPOR Probable glucan endo-1,3-beta-glucosidase eglC OS=Aspergillus oryzae (strain ATCC 42149 / RIB 40) OX=510516 GN=eglC PE=3 SV=1 MQLTHLLAFALSLATSEAAYKGFNYGATKSDGSVKSQSDFESEFSTAKNLVGTSGFTSARLYTMIQGGTTNSPISAIPAAIAENTSLLLGLWASGGGMDNELAALKSAISQYGDSFAKLVVGISVGSEDLYRASSEGEKVNAGIGIGPDDLVSFIKEVRSIISGTALSSVPIGHVDTWTAWTNGSNSAVIDAVDWLGFDGYPYFQSSMSNSISDAKSLFDDSVAKTKAVAKGKEVWITETGWPVSGSTQNLGVASLANAKTYWDEVGCPLFDETNTWWYILQDANPTTPNPSFGVVGSTLSTTPLFDLSCSNSTRPSASASSSAAGSATPVGSAVPSGSAAVNPSSSGIVSSAVPSTTPGFTVGKGFRPSNSSAAAYYSSASASGSAYPKFTKTASGSSATSTTAGSSSDSSSTNSGKSSSESSSTNSGASASSSILATGGASSVSGSVFGALVAVFAFVATL