Q5AUT0 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihzwdm3vxawdzu2dwzskowu5mwg4hhdwh63pffnknvuw2rmfoje6i/metadata.json
IPFS of structure file: 
bafybeifei7lkf2cjyfel75dk5v2wsapqdsiuc3rzuq2ndqiqzv7bazg37q/AF-Q5AUT0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x170c3D99552C36Afe2B5B1367e2Af517d767f104
First NFT owner address (bech32): 
genesis1zuxrmx249sm2lc44kym8u2h4zltk0ugys9yp94
Current NFT ID #114587 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
114587
Accession (UniProt):
Q5AUT0
Name::
Probable glucan endo-1,3-beta-glucosidase eglC
Experimental Method:
Predicted structure
Sequence source:
EMERICELLA NIDULANS (STRAIN FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139)

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 Q5AUT0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5AUT0|EGLC_EMENI Probable glucan endo-1,3-beta-glucosidase eglC OS=Emericella nidulans (strain FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139) OX=227321 GN=eglC PE=1 SV=1 MFTKTQILALALSIASAEAVSKGFNYGANKPDGTLKVQADFEAEFRTAKNLETTSGFNSARLYTMIQGTGSTPISAIPAAIAEETTLLLGLWASGGNMDNEIAALKAAINQYGDEFAKLVVGISVGSEDLYRNSEIGVQANAGIGIEPEELVSYIQRVREAIAGTALSGAPIGHVDTWNAWTNGSNAAVAEAVDWLGFDGYPFFQNTMQNSIDDAKALFDESVQKTKAVAGNKEVWITETGWPVSGDSQNLAIASVENAKQFWDEVGCPLFDNVNTWWYILQDASGSSVPNPSFGIVGNTLSTTPLFDLSCSASSKKNSSSASASASGSSAQSTGFVSTTKPAASPSGSSGLGHGGSLGSSGSFSGGHYAGVGSSSVIASPSATPSGSAVPGSSSGPGSSSGSASGSSSGFGSGAAADSTSGTSTSGDSTSSTSATPADFTGAGSRLSGSIFGAAMLVAALAVAL