Q568D2 AF NFT | MOLNFT bioinformatics, blockchain

Cilia- and flagella-associated protein 161

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeif2ni35k7uixpin2byfqh6rcui7jwqovfwczk4kvgro537imppkbe/metadata.json

IPFS of structure file:

bafybeiep4d34ygoyi45bsrvdwkorf4dytv63pzjsxuor2zjtcckzykyozi/AF-Q568D2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3

First NFT owner address (bech32):

genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx

Current NFT ID #58596 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
58596
Accession (UniProt):
Q568D2
Name::
Cilia- and flagella-associated protein 161
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q568D2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q568D2|CF161_DANRE Cilia- and flagella-associated protein 161 OS=Danio rerio OX=7955 GN=cfap161 PE=2 SV=1 MAHVRTYNPRVRVGNWKEDVTLEEETSKEFILQKDRGELTVQKEGALKQSILKPVSLSVSQDGFLHFGDTVMLVNCGDGGHMQRSPCVLSIIADSSNVTSHSQTNTGPHLLGPLQVGGAHSMDPCVRNTFIIISVDGSSDGEVVRYDQSFALKTTGGFAGELFLASDHKSFQKCAKKSRLQELSLVEEFDFLCWWKVLYFDPQDRLENEGYPVQVNNKVLISHCKTNQCLAALSNHILWSQFGKEYELTAHTFLDSHKAEQDNNHWLFSTAHPANQSQSLLQLQQEEHKENQEDTQVKDCS