Q5BCC6 AF NFT

Beta-glucosidase C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihwrfnemgnawmpc5assnagqwcqwwx257i5xn5l7tdts5gyg3b63ha/metadata.json
IPFS of structure file: 
bafybeich7h3kyxkwz3zpkxvdjfkyinvv35gzlzmx3mvpinluxe3lbesr5m/AF-Q5BCC6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa439f327C3FE63a80AfEf50C22a8F81e96CA514c
First NFT owner address (bech32): 
genesis15sulxf7rle36szh775xz928cr6tv552vs6zqfm
Current NFT ID #42780 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
42780
Accession (UniProt):
Q5BCC6
Name::
Beta-glucosidase C
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 Q5BCC6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5BCC6|BGLC_EMENI Beta-glucosidase C OS=Emericella nidulans (strain FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139) OX=227321 GN=bglC PE=1 SV=1 MRVDSTVLALVALATDCLGLAIKSNEPELLRRDALPIYKNASYCVDERVRDLLSRMTLEEKAGQLFHKQLSEGPLDDDSSGNSTETMIGKKHMTHFNLASDITNATQTAEFINLIQKRALQTRLGIPITISTDPRHSFTENVGTGFQAGVFSQWPESLGLAALRDPQLVREFAEVAREEYLAVGIRAALHPQVDLSTEPRWARISGTWGENSTLTSELIVEYIKGFQGEGKLGPKSVKTVTKHFPGGGPMENGEDSHFYYGKNQTYPGNNIDEHLIPFKAALAAGATEIMPYYSRPIGTNWEAVGFSFNKEIVTDLLRGELGFDGIVLTDWGLITDTYIGNQYMPARAWGVEYLSELQRAARILDAGCDQFGGEERPELIVQLVREGTISEDRIDVSVARLLKEKFLLGLFDNPFVNASAANNIVGNEHFVNLGRDAQRRSYTLLTNNQTILPLAKPGEGTRFYIEGFDSAFMSARNYTVVNTTEEADFALLRYNAPYEPRNGTFEANFHAGSLAFNATEKARQAKIYSSLPTIVDIILDRPAVIPEVVEQAQAVLASYGSDSEAFLDVVFGVSKPEGKLPFDLPRSMDAVEAQAEDLPFDTENPVFRYGHGLEYEDN