Q5AW93 AF NFT

Autophagy-related protein 22-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib74ztj4i4ayvw4h2uonn5jzxkg7bo3nrdzb4nqhd3ojsro5ex2dm/metadata.json
IPFS of structure file: 
bafybeiaerjpk2wnklqheayml56vy52lz2vqxoh2tu3pzjlcpjtd3tkxooe/AF-Q5AW93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf84a1a54d1fa266310201FB7c6d2D02d2C25C526
First NFT owner address (bech32): 
genesis1lp9p54x3lgnxxypqr7mud5ks95kzt3fxtfwqx2
Current NFT ID #30508 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
30508
Accession (UniProt):
Q5AW93
Name::
Autophagy-related protein 22-1
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 Q5AW93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5AW93|AT221_EMENI Autophagy-related protein 22-1 OS=Emericella nidulans (strain FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139) OX=227321 GN=atg22-1 PE=3 SV=2 MQEDGIAEPGLLLPRYPGDDTRPTNKKELLGWYSYGWAAEVFTVCAMGSFLPITLEQMARERGVLLSDKTTPCTAIWKTPESSNTSWQNSSPAAAGQCIVYILGAEINTASFAMYTFSVSVLIQAILIISMSGAADHGSYRKTLLVSFAAIGSICTMLILAVTPKVYLLGGLFAIVANTCLGASFVLLNSFLPLLVRYHPSLLKEESGYMVRSPTENSGQPIATDCFSNDDPRAALLQGDGMTPEDTREFISSSNTSKELTISTRISSYGIGIGYIGAVFLQGICILVIVQTRQTTFSLRLVLFLIGLWWFIFTIPAAFWLRPRPGPPLLRAQDGKAYQSWLGYMAYAWKSLGRTAMRTRHLKDILLFLASWFLLSDGIATVSGTAVLFAKTQLNMEPAALGMINVITMISGVFGAFSWSYVSRVLNLRASQTIIACIFLFELVPLYGLLGFIPAIKNLGFLGLQQPWEMFPLGVIYGLVMGGLSSYCRSFFGQLIPPGYEASFYSLYAITDKGSSVFGPAIVGFITDHYGEIRPAFFFLAILILLPLPLMLLVDADRGKRDALALAEVLEARSSLEQRDYGTFSQQQ