Q9LK09 AF NFT

Syntaxin-32

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifvdhtbyk7lo4arrtty4d4l4sw6jiuenmlcnodx2bd4kh45xcgm3u/metadata.json
IPFS of structure file: 
bafybeicwvpkz77yeqqzb2pku3wxajw5aqsmkhwui4la7ljxt7rr2avoogi/AF-Q9LK09-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x25ccC6daBdA7B3746B4A496C3F28Da0686d2DC48
First NFT owner address (bech32): 
genesis1yhxvdk4a57ehg662f9kr72x6q6rd9hzggswjae
Current NFT ID #451433 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
451433
Accession (UniProt):
Q9LK09
Name::
Syntaxin-32
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 Q9LK09 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LK09|SYP32_ARATH Syntaxin-32 OS=Arabidopsis thaliana OX=3702 GN=SYP32 PE=2 SV=1 MSARHGQSSYRDRSDEFFKIVETLRRSIAPAPAANNVPYGNNRNDGARREDLINKSEFNKRASHIGLAINQTSQKLSKLAKLAKRTSVFDDPTQEIQELTVVIKQEISALNSALVDLQLFRSSQNDEGNNSRDRDKSTHSATVVDDLKYRLMDTTKEFKDVLTMRTENMKVHESRRQLFSSNASKESTNPFVRQRPLAAKAAASESVPLPWANGSSSSSSQLVPWKPGEGESSPLLQQSQQQQQQQQQQMVPLQDTYMQGRAEALHTVESTIHELSSIFTQLATMVSQQGEIAIRIDQNMEDTLANVEGAQSQLARYLNSISSNRWLMMKIFFVLIAFLMIFLFFVA