Q9DAI2 AF NFT

Intraflagellar transport protein 22 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif7tt3d34bcub4wkprxsa6mz373sktnws5vvv3lyjdzo2qvbn2x6a/metadata.json
IPFS of structure file: 
bafybeia66v25nnnqkeq3wqrblkteraxhxxxrpcs6bbz6fshicvswlqhlxy/AF-Q9DAI2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x848B622B139c7fB5ce26ccA19998c6cB362c7C6b
First NFT owner address (bech32): 
genesis1sj9ky2cnn3lmtn3xejsenxxxevmzclrtx69hhk
Current NFT ID #186692 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
186692
Accession (UniProt):
Q9DAI2
Name::
Intraflagellar transport protein 22 homolog
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 Q9DAI2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DAI2|IFT22_MOUSE Intraflagellar transport protein 22 homolog OS=Mus musculus OX=10090 GN=Ift22 PE=1 SV=1 MLKAKILFVGPCESGKTVLANFLTESSDITEYNPTQGVRILEFENPHVTSNNKGTGCEFELWDCGGDSKFESCWPALMKDAHGVVIVFNADIPSHLKEIEMWYSCFVQQQFLQDSHCMLVAHHKPGSGGERGSLALSPPLNKLKLVHSNLEEDPEEVRVEFIKYLKSIINSMSESRDREEMLIIT