Q9FMC5 AF NFT

Vacuolar protein sorting-associated protein 60.2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieilrjpdd2t4o2sm7ir2wxf63pv6xzkgwk5l3ruza7pwgjht3vzpi/metadata.json
IPFS of structure file: 
bafybeid4h4u7r3fdrpmszztvrgspktncrcavhfh4uoflbbohzqeqs5ppe4/AF-Q9FMC5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaA6468e283E706d581020C0bA80328b7c7685FBb
First NFT owner address (bech32): 
genesis14fjx3c5ruurdtqgzps96sqegklrkshamg240wq
Current NFT ID #497608 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497608
Accession (UniProt):
Q9FMC5
Name::
Vacuolar protein sorting-associated protein 60.2
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 Q9FMC5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FMC5|VP602_ARATH Vacuolar protein sorting-associated protein 60.2 OS=Arabidopsis thaliana OX=3702 GN=VPS60-2 PE=2 SV=1 MKRIFGAKNNKEPPPSIQDASDRINKRGDSVEEKVKRLDAELCKYKDQIKRTRPGPALEAIKARAMRVLKQKKMYEGQRDMLYNQTFNLDQVSFAAEGLKDAQQTMTALKSANKELKGMMKTVKIQDIDNLQDDMMDLMDESSEIQETLGRSYNVPDDIDEDDLLGELDALEADMGNETEADGVPSYLQPDKEPDLNDELNLPSAPMGHTGAPPGRAQAEDEWGLPAVPRASLRG