Q4WZY1 AF NFT

Autophagy-related protein 22-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigeeil3rtl2pm2co4ds2r75rukiaxhlfmviyz5wnmnqjepdik7kxm/metadata.json
IPFS of structure file: 
bafybeia5yccz5peubbst3roagpblmvlevgcpdktzsuuad5b4ejmlvxhrgi/AF-Q4WZY1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x82eDD4a18Ff145e81685990353EbDBB7Bb27EF2c
First NFT owner address (bech32): 
genesis1stkafgv079z7s959nyp4867mk7aj0mev2enfqq
Current NFT ID #30514 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
30514
Accession (UniProt):
Q4WZY1
Name::
Autophagy-related protein 22-2
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 Q4WZY1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4WZY1|AT222_ASPFU Autophagy-related protein 22-2 OS=Neosartorya fumigata (strain ATCC MYA-4609 / Af293 / CBS 101355 / FGSC A1100) OX=330879 GN=atg22-2 PE=3 SV=1 MAFNSTPPVSPGGEAQQRPPRFPGEDTTPTSQKEIWGWYAYGIAAEVFAVCGVGSFLPLTLEQLAREHGTLLSSHLPCVRFSSPSTAPGNGTTTATFRRDGTDNDQCVVSVLGLQVNTASFAMYTFSLAVLVQALTLISFSALADYENNRKTLLLAFGFIGSMTSMLFIFIAPPVYILASLLVVVGVTCLGSSFVVLNSFLPVLVANDPSIQTAHKEQGEELSPVNSNGEFVRFEDLDEEISRDSDDHFTTGHRPKTKAAGSASPELQLSTRISSKGVGLGYCAAVLVQILSILMLFALSKTSLPKISGTLPLRFVLLLVGIWWFSFTMVSRRWLRDRPGPPLASSKGAARNSRWRIWLRLIGFAWKSLWKTAKVAVKLREVIIFLIAWFLLSDAMATVSGTAILFARTELKMSTTAVGLLSITATLSGMAGAFLWPVVSRRLRLKSNHTIMLCIALFEVIPLYGMLAYIPLFKKWGVVGLQQPWEIFPLGIVHGLVSGGLSSYCRSFFGLLIPPGSEAAFYALYAATDKGSSFIGPAIVGMLIDATGQVRSGFFFIAVLILLPIPLIWMVNAEKGRQDGLAMADILEKSHREHASEYGGPSEEAEGLLARDI