Q9SKI2 AF NFT

Vacuolar protein sorting-associated protein 2 homolog 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieen55pxr5gdvqgfuhb65r4jmdn26htibuk3iy3nyegzvrjc3kjhy/metadata.json
IPFS of structure file: 
bafybeieec2xouohbg2o5t4duneyebyea6z7ty6gru3dnd2xj4v6jlqe3dq/AF-Q9SKI2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #497984 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497984
Accession (UniProt):
Q9SKI2
Name::
Vacuolar protein sorting-associated protein 2 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 Q9SKI2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SKI2|VPS2A_ARATH Vacuolar protein sorting-associated protein 2 homolog 1 OS=Arabidopsis thaliana OX=3702 GN=VPS2.1 PE=1 SV=2 MMNSIFGKRKTPAELLRENKRMLDKSIREIERERQGLQTQEKKLINEIKKTAKQGQMGAVKVMAKDLIRTRHQIEKFYKLKSQLQGVSLRIQTLKSTQAMGEAMKGVTKAMGQMNRQMNLPSLQKIMQEFERQNEKMEMVSEVMGDAIDDALEGDEEEEETEDLVSQVLDEIGIDINQELVNAPSGAVAVPAAKNKVVQAEATGAEDSGGIDSDLQARLDNLRKM