Q9SYC9 AF NFT

Vesicle-associated protein 1-4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaj3b3d6szbgu76zze7iimjydvifkecifsu4bdfw4gnrh7x425t7m/metadata.json
IPFS of structure file: 
bafybeify4fvaxnlqgzstufdje6i2rpb66im5gr3owfud7grstelpd4hlxu/AF-Q9SYC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0c9a548C6Ddf03912482aE0Ef0a8883d6fbEC3A9
First NFT owner address (bech32): 
genesis1pjd9frrdmupezfyz4c80p2yg84hmasafuqkt6a
Current NFT ID #494850 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
494850
Accession (UniProt):
Q9SYC9
Name::
Vesicle-associated protein 1-4
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 Q9SYC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SYC9|VAP14_ARATH Vesicle-associated protein 1-4 OS=Arabidopsis thaliana OX=3702 GN=PVA14 PE=2 SV=1 MSTDELLTFDHVDIRFPIELNKQGSCSLNLTNKTDNYVAFKAQTTKPKMYCVKPSVGVVLPRSSCEVLVVMQALKEAPADRQCKDKLLFQCKVVEPGTMDKEVTSEMFSKEAGHRVEETIFKIIYVAPPQPQSPVQEGLEDGSSPSASVSDKGNASEVFVGPSVGIVDLIRMSDELLIIDPVDVQFPIELNKKVSCSLNLTNKTENYVAFKAKTTNAKKYYVRPNVGVVLPRSSCEVLVIMQALKEAPADMQCRDKLLFQCKVVEPETTAKDVTSEMFSKEAGHPAEETRLKVMYVTPPQPPSPVQEGTEEGSSPRASVSDNGNASEAFVDMLRSLLVPLFSNAASSTDDHGITLPQYQVFINFRGDELRNSFVGFLVKAMRLEKINVFTDEVELRGTNLNYLFRRIEESRVAVAIFSERYTESCWCLDELVKMKEQMEQGKLVVVPVFYRLNATACKRFMGAFGDNLRNLEWEYRSEPERIQKWKEALSSVFSNIGLTSDIRRYNLINKNMDHTSEFLYIVLILNFFSEISDMTGLTTSYQFLLMMKSNLISYDIYIYPTKFCVNVFIGV