P29065 AF NFT

Uncharacterized 18.6 kDa protein in alpha-glucosidase 3'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiagrmdasdiwcfcgrnvbfcowwl7gmvgyhbtlkf7ws3ft2nrgrcz2nu/metadata.json
IPFS of structure file: 
bafybeialm6tfuempzbkyczfdj6466tfbarx372rucldgps42yo7cq4poky/AF-P29065-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbED36fF85b74c1f1C5C0747dC2672feb50DA37A0
First NFT owner address (bech32): 
genesis1hmfkl7zmwnqlr3wqw37uyee0adgd5daq4vns2v
Current NFT ID #524239 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
524239
Accession (UniProt):
P29065
Name::
Uncharacterized 18.6 kDa protein in alpha-glucosidase 3'region
Experimental Method:
Predicted structure
Sequence source:
Candida tsukubaensis

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 P29065 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P29065|YAGL_CANTS Uncharacterized 18.6 kDa protein in alpha-glucosidase 3'region OS=Candida tsukubaensis OX=5483 PE=4 SV=1 MSAPQTTGDRAVIKLLSDALKALNLQNLAQTQFQEEVMPATAPSTDPAVPKDAQEADEPSIDALKSKIAGYERMFAFNCQLLGYLMEEIDGGSPDWMKVPCYLFLIIQSSTLTPIATGAIPKGMVKDVISRLPPKYKERCHAADKNEDWQALMLGITDLMDVVSLSLPPS