Q4WNA2 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidm7rbcek2eiwxowbf6irfj5jicgeymuywhji3yod2yknf73dw4zi/metadata.json
IPFS of structure file: 
bafybeidvs6ciywujvw3ce7x7k3l2nwwkb3jmy5xa3a2knjumljzpbzshfq/AF-Q4WNA2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7c75F0f7d6d136A2b8D4C6C6e9b3D8a697949DF1
First NFT owner address (bech32): 
genesis1036lpa7k6ym29wx5cmrwnv7c56tef803cmwzax
Current NFT ID #52643 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
52643
Accession (UniProt):
Q4WNA2
Name::
Probable 1,4-beta-D-glucan cellobiohydrolase A
Experimental Method:
Predicted structure
Sequence source:
NEOSARTORYA FUMIGATA (STRAIN ATCC MYA-4609 / AF293 / CBS 101355 / FGSC A1100)

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 Q4WNA2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4WNA2|CBHA_ASPFU Probable 1,4-beta-D-glucan cellobiohydrolase A OS=Neosartorya fumigata (strain ATCC MYA-4609 / Af293 / CBS 101355 / FGSC A1100) OX=330879 GN=cbhA PE=3 SV=1 MHQRALLFSALAVAANAQQVGTQTPETHPPLTWQKCTAAGSCSQQSGSVVIDANWRWLHSTKDTTNCYTGNTWNTELCPDNESCAQNCALDGADYAGTYGVTTSGSELKLSFVTGANVGSRLYLMQDDETYQHFNLLNHEFTFDVDVSNLPCGLNGALYFVAMDADGGMSKYPSNKAGAKYGTGYCDSQCPRDLKFINGMANVEGWEPSSSDKNAGVGGHGSCCPEMDIWEANSISTAVTPHPCDDVSQTMCSGDACGGTYSESRYAGTCDPDGCDFNPFRMGNESFYGPGKIVDTKSKMTVVTQFITADGTDSGALSEIKRLYVQNGKVIANSVSNVAGVSGNSITSDFCTAQKKAFGDEDIFAKHGGLSGMGKALSEMVLIMSIWDDHHSSMMWLDSTYPTDADPSKPGVARGTCEHGAGDPENVESQHPDASVTFSNIKFGPIGSTYEG