Q16932 AF NFT

Syntaxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeify5mrusv7macka6fadootnze637q3o7ozpaajzkbzaq25lu2dgq4/metadata.json
IPFS of structure file: 
bafybeiht6o7tf4t2aeu5qtjvsgdelo6ybzfs7pngpxlmk4rfik7zqvb77i/AF-Q16932-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x69fc39B8A7390Db29e02023019DFaf30fc148a69
First NFT owner address (bech32): 
genesis1d87rnw988yxm98szqgcpnha0xr7pfznfk0vfpk
Current NFT ID #440319 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
440319
Accession (UniProt):
Q16932
Name::
Syntaxin
Experimental Method:
Predicted structure
Sequence source:
APLYSIA CALIFORNICA

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 Q16932 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q16932|STX_APLCA Syntaxin OS=Aplysia californica OX=6500 PE=2 SV=1 MTKDRLAALKAAQSDDDDNDDVAVTVDSSGFMEEFFEQVDEIREMIDKIASNVDEVKKKHSAILSAPQTDDKMKEELEELMSEIKKNANKVRAKLKVIEQNIEQEEHTNKSSADLRIRKTQHATLSRKFVEVMNDYNACQIDYRERCKGRIKRQLAITGKTTTNEELEDMIESGNPAIFTQGIIMETQQANETLADIEARHNDIMKLETSIRDLHDMFMDMAMLVESQGEMIDRIEYNVEQAVDYIETAKMDTKKAVKYQSKARRKKIMILVCLAILIIILVGVIGGTLG