Q4WG16 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibutcnsmdneaa6btfkizitbcr5yuhwfy34qak26cxon435pg5b2ka/metadata.json
IPFS of structure file: 
bafybeiaklhvvzo4ff6nkxda4furqhl2ceqpax5bh5qbuyj5wjs5fvzviti/AF-Q4WG16-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3384dF215227366cA6d89Fa4a584Ba2AEac4f734
First NFT owner address (bech32): 
genesis1xwzd7g2jyumxefkcn7j2tp969t4vfae5f9d8my
Current NFT ID #114583 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
114583
Accession (UniProt):
Q4WG16
Name::
Probable glucan endo-1,3-beta-glucosidase eglC
Experimental Method:
Predicted structure
Sequence source:
NEOSARTORYA FUMIGATA (STRAIN ATCC MYA-4609 / AF293 / CBS 101355 / FGSC A1100)

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 Q4WG16 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4WG16|EGLC_ASPFU Probable glucan endo-1,3-beta-glucosidase eglC OS=Neosartorya fumigata (strain ATCC MYA-4609 / Af293 / CBS 101355 / FGSC A1100) OX=330879 GN=eglC PE=3 SV=1 MQFTHLVALALALATSEAAHQGFNYGNTKSDGSAKSQADFQAEFSTAKNLVGTSGFTSARLYTMIQGGTANTPISAIPAAITEQTSLLLGLWASGGNFANEIAALKAAIAQYGDDLAKLVVGISVGSEDLYRNSVDGVKANAGIGTNPDEIVSYINEVRSTIAGTKLSGAPIGHVDTWTAWVNGSNSAVIDACDWLGFDGYPYFQNTMANSISDAKALFDESVAKTQAVAKGKEVWITETGWPVSGKTENLAVANLANAKTYWDEVGCPLFGKTNTWWYILQDADPVTPNPSFGIVGSTLSTTPLFDLSCSASSSSSAAAAASSTAGPSASSVIGGKASGFTTAAANSAKPTFTVGKGPGGSYNGTGFWNSTSSARPSSSAISGSSSGSAAGSSGAGASGASGQSSSSTGSSSAPSTSNILSNAASGLSGSIFGAVVAVCLALAAL