Q0CMT2 AF NFT

Probable 1,4-beta-D-glucan cellobiohydrolase B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmce443vqdp2i7t2xln6kydsaftnczux4qngsyyqvnjhojnp2alu/metadata.json
IPFS of structure file: 
bafybeids5z27evxcaop2tmuf5hds4ifhqmlf3y5nt7xbm763bb2hmx2kyu/AF-Q0CMT2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8Ac4Ac1df1311E72f20E7E8aCDA3A7fa7834D3b4
First NFT owner address (bech32): 
genesis13tz2c803xy089usw069vmga8lfurf5a5dfv53m
Current NFT ID #52656 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
52656
Accession (UniProt):
Q0CMT2
Name::
Probable 1,4-beta-D-glucan cellobiohydrolase B
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 Q0CMT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CMT2|CBHB_ASPTN Probable 1,4-beta-D-glucan cellobiohydrolase B OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=cbhB PE=3 SV=1 MPSTYDIYKKLLLLASFLSASQAQQVGTSKAEVHPSLTWQTCTSGGSCTTVNGKVVVDANWRWVHNVDGYNNCYTGNTWDTTLCPDDETCASNCALEGADYSGTYGVTTSGNSLRLNFVTQASQKNIGSRLYLMEDDSTYKMFKLLNQEFTFDVDVSNLPCGLNGAVYFVSMDADGGMAKYPANKAGAKYGTGYCDSQCPRDLKFINGMANVEGWEPSANDANAGTGNHGSCCAEMDIWEANSISTAYTPHPCDTPGQVMCTGDSCGGTYSSDRYGGTCDPDGCDFNSYRQGNKTFYGPGMTVDTKSKITVVTQFLTNDGTASGTLSEIKRFYVQNGKVIPNSESTWSGVSGNSITTAYCNAQKTLFGDTDVFTKHGGMEGMGAALAEGMVLVLSLWDDHNSNMLWLDSNYPTDKPSTTPGVARGSCDISSGDPKDVEANDANAYVVYSNIKVGPIGSTFSGSTGGGSSSSTTATSKTTTTSATKTTTTTTKTTTTTSASSTSTGGAQHWAQCGGIGWTGPTTCVAPYTCQKQNDYYSQCL