Q0CFP1 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiehqzczsyujdw7n7n2lx6jrew3psenvn6hxd4a22l5mjrlrbowf2q/metadata.json
IPFS of structure file: 
bafybeic4mdeellilm7jc32alcygc3h62qcmcoe7mka33hov7eed6cdmvfq/AF-Q0CFP1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0DB674f7Cac32C697D9fCe7188927c4a91b2FCCa
First NFT owner address (bech32): 
genesis1pkm8fa72cvkxjlvleecc3ynuf2gm9lx2nrf49g
Current NFT ID #52663 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
52663
Accession (UniProt):
Q0CFP1
Name::
Probable 1,4-beta-D-glucan cellobiohydrolase C
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 Q0CFP1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CFP1|CBHC_ASPTN Probable 1,4-beta-D-glucan cellobiohydrolase C OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=cbhC PE=3 SV=1 MGRVSSLALALLLPAVQAQQTLWGQCGGIGWTGPTNCVAGAACSTQNPYYAQCLPGTATTSTTLTTTTRVTTTTTSTTSKSSSTGSTTTTKSTGTTTTSGSSTTITSAPSGNPFSGYQLYANPYYSSEVHTLAMPSLASSLLPAASAAAKVPSFTWLDTAAKVPTMGTYLADIKAKNAAGANPPIAAQFVVYDLPDRDCAALASNGEYSIANGGVANYKKYIDAIRAQLLNYPDVHTILVIEPDSLANLVTNLNVAKCANAQSAYLECVNYALIQLNLPNVAMYIDAGHAGWLGWPANIGPAAQLFAGVYKDAGAPAALRGLATNVANYNAFSISTCPSYTSGDANCDENRYINAIAPLLKDQGWDAHFIVDTGRNGVQPTKQNAWGDWCNVIGTGFGVRPTTNTGNSLVDAFVWVKPGGESDGTSDSSSARYDAHCGYSDALQPAPEAGTWFQAYFEQLLKNANPAF