Q9LPN5 AF NFT

Vacuolar protein sorting-associated protein 60.1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiagmjnvft6bvijg45xce6mj5hebx5yne7zi7t4nwycy6qqkj7eesm/metadata.json
IPFS of structure file: 
bafybeiawrav3ckz7p3yryw6dzmltsfqlxb2xejfxl4gowagmbfvadyqmzi/AF-Q9LPN5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc4c27773Fe1F9E993e353448F6CC683426A69bdd
First NFT owner address (bech32): 
genesis1cnp8wul7r70fj034x3y0dnrgxsn2dx7a5ppz8w
Current NFT ID #497607 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497607
Accession (UniProt):
Q9LPN5
Name::
Vacuolar protein sorting-associated protein 60.1
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 Q9LPN5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LPN5|VP601_ARATH Vacuolar protein sorting-associated protein 60.1 OS=Arabidopsis thaliana OX=3702 GN=VPS60-1 PE=1 SV=1 MRRVFGAKKNTEPPPSIQDASDRINKRGDSVEDKIKKLDVELCKYKEQLKKTRPGPAQEAVKARAMRVLKQKKMYEGQRDMLYNQTFNLDQVSFAAEGLKDAQQTMTALKSANKELKGMMKTVKIQDIDNLQDEMMDLMDVSSEIQESLGRSYNIPDGLDEDDLMGELDALEADMGNETEADGMPSYLQPDTETDYDSELNLPAAPTGHNGAPHGRAQAEDEFGLPAVPRASLRG