Q9D3J9 AF NFT

TLR adapter interacting with SLC15A4 on the lysosome

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifakcfoqfhye66zponduvxze42xcr5xl4qflwxmwytibmyjvqsfpu/metadata.json
IPFS of structure file: 
bafybeid6iftvvo3fa54pdviwy5wbnyv5ofsk6ckafm6n4ajgls3wlnmsh4/AF-Q9D3J9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf2D15b36F552E28C07477d6049e64D32304643ed
First NFT owner address (bech32): 
genesis17tg4kdh42t3gcp6804synejdxgcyvslduecgvu
Current NFT ID #458043 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
458043
Accession (UniProt):
Q9D3J9
Name::
TLR adapter interacting with SLC15A4 on the lysosome
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9D3J9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D3J9|TASL_MOUSE TLR adapter interacting with SLC15A4 on the lysosome OS=Mus musculus OX=10090 GN=Tasl PE=2 SV=1 MLSEGYLSGLTYWNDIHWNCASYNEPVAGDQGKETSSVAALSYSSVDETQVQSLYVSCKSSGKFISSVHARASQHSRSQSRTVLQANSNPVFESPTLAAVGICRDVIRETYLVPPSCKSICKNYNDLHIAGGQVMAINSVMANFPSESSFEDGPLLKSSEISLSMEDSTSTQLTELPLKPIQRYSSYWRITSIKEKSSLQMQKPISNAVLNEYLEQKVVELYKQYIMDTVFHDSSPTQILASEFIMTNVDQISLQVSKEKNLDTSKVKDIVISHLLQLVSSEISTPSLHISQYSNITP