P0DJ39 AF NFT

Potassium channel toxin kappa-KTx 3.4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidleypadajozk5vwo4a6vp7pribtj2d7aq37y3rzini4a6y4tacz4/metadata.json
IPFS of structure file: 
bafybeiekkr724g6driqpzgado7wi3nnrbvdwmu3c6eybrujazpqbcmcqhe/AF-P0DJ39-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #203712 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
203712
Accession (UniProt):
P0DJ39
Name::
Potassium channel toxin kappa-KTx 3.4
Experimental Method:
Predicted structure
Sequence source:
Heterometrus petersii

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 P0DJ39 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DJ39|KKX34_HETPE Potassium channel toxin kappa-KTx 3.4 OS=Heterometrus petersii OX=754296 PE=1 SV=1 MKSTLMTASLLILVLLSIIDYASVYAEFIDSEISLERQWINACFNVCMKISSDKKYCKYLCGKS