Q9SIQ9 AF NFT

Vesicle-associated membrane protein 712

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihaubcqdp6vkryepagr5tdwruzuqi2sa5micwodatasqhep65scfm/metadata.json
IPFS of structure file: 
bafybeicu2sernnpfrggj5vtgv7k4c3izjmmfqndhq4s5cuvmhnuk74zxgi/AF-Q9SIQ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #494679 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
494679
Accession (UniProt):
Q9SIQ9
Name::
Vesicle-associated membrane protein 712
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 Q9SIQ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SIQ9|VA712_ARATH Vesicle-associated membrane protein 712 OS=Arabidopsis thaliana OX=3702 GN=VAMP712 PE=2 SV=1 MSILYALVARGTVVLAELSTTSTNASTIAKQILEKIPGNGDSHVSYSQDRYVFHVKRTDGLTVLCMADEDAGRRIPFSFLEDIHQRFVRTYGRAIHSAQAYAMNDEFSRVLNQQIEYYSNDPNADTISRIKGEMNQVRDVMIENIDNILDRGERLELLVDKTANMQGNTFRFRKQTRRFNNTVWWRNCKLTLLLILVLLVIIYIGVAFACHGPTLPSCV