Q9FJD0 AF NFT | MOLNFT bioinformatics, blockchain

Vacuolar protein sorting-associated protein 26A

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibzxkq3olbipwlctcciiujzuus67e3heaurukhizkshz2zxlt2rce/metadata.json

IPFS of structure file:

bafybeihaxcjqiu7ma3jxrkyumyhnakenlveaqxxbqtb5nr4ocj4p562a4i/AF-Q9FJD0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x71112d4fF7ebb3b617963c05f052289e073082FD

First NFT owner address (bech32):

genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79

Current NFT ID #497540 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497540
Accession (UniProt):
Q9FJD0
Name::
Vacuolar protein sorting-associated protein 26A
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 Q9FJD0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FJD0|VP26A_ARATH Vacuolar protein sorting-associated protein 26A OS=Arabidopsis thaliana OX=3702 GN=VPS26A PE=2 SV=1 MNYLLGAFKPACNISITFTDGKNRKQVPTKKDNGQIVMNPLFQSQETIAGKINIEPYQGKKVEHNGVKVELLGQIEMYFDRGNFYDFTSLVREIDVPGEIYERKTYPFEFSSVEMPYETYNGVNVRLRYVLKVTVTRGYAGSIVEYQDFVVRNYVPLPPINNSIKMEVGIEDCLHIEFEYNKSKYHLKDVILGKIYFLLVRIKIKNMDLEIRRRESTGAGANTHVETETLAKFELMDGAPVRGESIPVRVFLTPYDLTPTHKNINNKFSVKYYLNLVLVDEEDRRYFKQQEITLYRLKEETS