Q9FFB3 AF NFT

Vacuolar protein sorting-associated protein 24 homolog 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigopcd4ebfgqpnxr3kdtjwstatxf2eyucmhr7qv5wyrrfuqsuqkim/metadata.json
IPFS of structure file: 
bafybeigsiodzrfgmovx644szg35ugkf2bs4lpr23lpttvf7skvwfwjkskq/AF-Q9FFB3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7c75F0f7d6d136A2b8D4C6C6e9b3D8a697949DF1
First NFT owner address (bech32): 
genesis1036lpa7k6ym29wx5cmrwnv7c56tef803cmwzax
Current NFT ID #497537 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497537
Accession (UniProt):
Q9FFB3
Name::
Vacuolar protein sorting-associated protein 24 homolog 1
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9FFB3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FFB3|VP241_ARATH Vacuolar protein sorting-associated protein 24 homolog 1 OS=Arabidopsis thaliana OX=3702 GN=VPS24-1 PE=1 SV=1 MERVMNIIKPKPDPKQLLRDWQRKLRQECRNIERQIRDIQKEERNVQKAIKEAAKRNDMVSAKALAKEIVSSRRTVNRLYENKAQMNSISMHLGESVAIARTVGHLSKSAEVMKLVNNLMKAPQMAATMQEFSKEMTKAGVIEEFVNEAIDNALDSEDMEEEIDEEVDKVLTAIAGETAAELPVAVRKERIKVPAQKASTSREEEAVAEGVDDEEELEEIRARLAKVRS