Q9DAC7 AF NFT

Tetratricopeptide repeat protein 32

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigcrn3y6y6x4ztpuh4tuam7mjosn33mvev5fx5tiapeuqvvjjvaue/metadata.json
IPFS of structure file: 
bafybeigw5rktnkskyintu74ud37zlqctgj2qhr24pjti3y6bdxqv46krk4/AF-Q9DAC7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBbA81fF34F47ba53f6581B08F2f97eb513cf6705
First NFT owner address (bech32): 
genesis1hw5plu60g7a98ajcrvy097t7k5fu7ec9dltfzk
Current NFT ID #481389 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
481389
Accession (UniProt):
Q9DAC7
Name::
Tetratricopeptide repeat protein 32
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 Q9DAC7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DAC7|TTC32_MOUSE Tetratricopeptide repeat protein 32 OS=Mus musculus OX=10090 GN=Ttc32 PE=1 SV=1 MALRPGREGGESSAALATAQARFSRGEFAEARELYSAFIGQCARHGSKCSPEDLATAYNNRGQTKYFSVDFYEAMDDYTSAIEILPSFEVPYYNRGLIRYRLGYFDEALEDFKKALDLNPGFQDAVLSLKQTILDKEEKQRRNAEKSY