Q0CC84 AF NFT

Probable endo-beta-1,4-glucanase celB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgku3hvwy6a2orwt7a7s62as3r23yvwf4bg5ipmjcliubvbohwse/metadata.json
IPFS of structure file: 
bafybeie34wbckrlwg5vc75sd46eo5vozi4wyayqjbhrvq4oxlrafx6rioq/AF-Q0CC84-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc1561376793393b1CA847254750D93728aCFE619
First NFT owner address (bech32): 
genesis1c9tpxanexwfmrj5ywf282rvnw29vlesehl0ch6
Current NFT ID #57975 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
57975
Accession (UniProt):
Q0CC84
Name::
Probable endo-beta-1,4-glucanase celB
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 Q0CC84 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CC84|CELB_ASPTN Probable endo-beta-1,4-glucanase celB OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=celB PE=3 SV=1 MLRKLTPLALALLPLVAGQTIGETPEVHPKLPTWKCSNRHGCVKQDTSVVIDAATHWIHEKGGETSCTGSSGPNPNLCPDKETCAANCVIEGISDYANYGVQTKGSSMTLHQYLRDGNTTKSVSPRVYLLAEDGENYEMLQLLNQEFTFDVDVSTLVCGMNGALYFSEMQRDGGRSELNPAGAARGTGYCDAQCFNIPWINGEANVEGAGACCNEMDIWEANARATGYTPHPCNITQLYECSGAECEANGVCDKPGCGFNPYALGAHDFYGYDLEVDTTKPMTVVTQFYTKDNTTTGALVEIRRLYVQNGHVIQNAVVSVDGESVDSITADYCADPSSAFNRLGGLQRMGEALGRGMVLAFSVWNDAGSFMSWLDGGNSGPCNATEGDPALIEKLHPDTHVTFSNIRWGDIGSTYRGKRR