Q9S9T7 AF NFT

Vacuolar protein sorting-associated protein 28 homolog 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigwitjw2imvphufkaik4guxydsswysjthaj6er34oznklnflaky34/metadata.json
IPFS of structure file: 
bafybeif4pdl7s3chq54v6ovoss6yvcxs3jrsj4nwfcikx66r4ctvzfut2m/AF-Q9S9T7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #497559 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497559
Accession (UniProt):
Q9S9T7
Name::
Vacuolar protein sorting-associated protein 28 homolog 2
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 Q9S9T7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9S9T7|VP282_ARATH Vacuolar protein sorting-associated protein 28 homolog 2 OS=Arabidopsis thaliana OX=3702 GN=VPS28-2 PE=1 SV=2 MMEVKLWNDKREREMYENFAELFAIIKATEKLEKAYIRDLINPSEYESECQKLIVHFKTLSATLKDTVPNIERFADTYKMDCPAALYRLVTSGLPATVEHRATVAASTSNSASIVAECVQNFITSMDSLKLNMVAVDQVYPLLSDLSASLNKLSILPPDFEGKTKMKEWLSRLSKMGAADELTEQQSRQLHFDLESSYNSFMAALPKAGN