Q0WWQ1 AF NFT

Autophagy-related protein 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihlr4zkc5mlkfc666fipdliddrptdlasa5qaj2gc7qy5nsyuzez3i/metadata.json
IPFS of structure file: 
bafybeicvrshvtqbz6gq7iqg6ohkm74f53hh66ubx7c65v33cn6inabuvru/AF-Q0WWQ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x416Afd282a60de0972a3FaC86C996Db7b2680917
First NFT owner address (bech32): 
genesis1g94062p2vr0qju4rltyxextdk7exszghmnc7vf
Current NFT ID #31309 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
31309
Accession (UniProt):
Q0WWQ1
Name::
Autophagy-related protein 3
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q0WWQ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WWQ1|ATG3_ARATH Autophagy-related protein 3 OS=Arabidopsis thaliana OX=3702 GN=ATG3 PE=1 SV=2 MVLSQKLHEAFKGTVERITGPRTISAFKEKGVLSVSEFVLAGDNLVSKCPTWSWESGDASKRKPYLPSDKQFLITRNVPCLRRAASVAEDYEAAGGEVLVDDEDNDGWLATHGKPKDKGKEEDNLPSMDALDINEKNTIQSIPTYFGGEEDDDIPDMEEFDEADNVVENDPATLQSTYLVAHEPDDDNILRTRTYDLSITYDKYYQTPRVWLTGYDESRMLLQPELVMEDVSQDHARKTVTIEDHPHLPGKHASVHPCRHGAVMKKIIDVLMSRGVEPEVDKYLFLFLKFMASVIPTIEYDYTMDFDLGSSST