Q7ZTZ2 AF NFT

Probable ribosome biogenesis protein RLP24

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifkccuu2d6kmg7vrpz3z2pfg5uokncpypcqouyqxuuqphfcqv7ksi/metadata.json
IPFS of structure file: 
bafybeifrg4urnchjh42s2xnlff3y5em43rqt4nhcz3jfsfyxeemjhqng2a/AF-Q7ZTZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3d4E27cf9065B918518565E961f228A07fD3933F
First NFT owner address (bech32): 
genesis1848z0nusvku3s5v9vh5kru3g5pla8yelumkvae
Current NFT ID #378701 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
378701
Accession (UniProt):
Q7ZTZ2
Name::
Probable ribosome biogenesis protein RLP24
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 Q7ZTZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZTZ2|RLP24_DANRE Probable ribosome biogenesis protein RLP24 OS=Danio rerio OX=7955 GN=rsl24d1 PE=2 SV=1 MRIEKCYFCSAPVYPGHGMMFVRNDCKVFRFCRSKCHKNFKKKRNPRKTRWTKAFRKSAGKELTVDNSLEFEKRRNTPVKYNRELWSKTVEAMRKVESIKHKRQARFIMNRLKKGKELEKAADISEVKKNIHLIKAPHAGQAKQLEDKMVQKLAEDVEMDE