Q5RE28 AF NFT

Autophagy-related protein 13

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid22uhr63eqlmi2dytaaadzsflqwoyt3a3qoofyhhb23ua5zwh6wi/metadata.json
IPFS of structure file: 
bafybeia2xwahrp7qslpr7poxpdvpghr6pok2edvounjdusccd4hhzzvi64/AF-Q5RE28-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA5374D84395c453698039b71Cc29bC29eAD7b8BD
First NFT owner address (bech32): 
genesis155m5mppet3zndxqrndcuc2du984d0w9ax5sxg9
Current NFT ID #30967 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
30967
Accession (UniProt):
Q5RE28
Name::
Autophagy-related protein 13
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5RE28 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5RE28|ATG13_PONAB Autophagy-related protein 13 OS=Pongo abelii OX=9601 GN=ATG13 PE=2 SV=1 METDLNSQDRKDLDKFIKFFALKTVQVIVQARLGEKICTRSSSSPTGSDWFNLAIKDIPEVTHEAKKALAGQLPAVGRSMCVEISLKTSEGDSMELEIWCLEMNEKCDKEIKVSYTVYNRLSLLLKSLLAITRVTPAYRLSRKQGHEYVILYRIYFGEVQLSGLGEGFQTVRVGTVGTPVGTITLSCAYRINLAFMSTRQFERTPPIMGIIIDHFVDRPYPSSSPMHPCNYRTAGEDTGVIYPSVEDSQEVCTTSFSTSPPSQLSSSRLSYQPAALGVGSADLAYPVVFAAGLNATHLHQLMVPGKEGGVPLAPNQPVHGTQADQERLATCTPSDGTHCAATPSSSEDTETVSNSSEGRASPHDVLETIFVRKVGAFVNKPINQVTLTSLDIPFAMFAPKNLELEDTDPMVNPPDSPETESPLQGSLHSDGSSGGSSGNTHDDFVMIDFKPAFSKDDILPMDLGTFYREFQNPPQLSSLSIDIGAQSMAEDLDSLPEKLAVHEKNVREFDAFVETLQ