P0DQJ2 AF NFT

U-actitoxin-Ate1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie73mmsntabszk32rioqfxrhxkjk2o2ha7epr5uixk7gqiyf3suce/metadata.json
IPFS of structure file: 
bafybeibsvajydsz4w2d6cfkmcbxh5z7lafkccgq6wzvftvern7zhndjvp4/AF-P0DQJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x727D03690E0ac68C9a3242921fC850514E2AA0C1
First NFT owner address (bech32): 
genesis1wf7sx6gwptrgex3jg2fpljzs298z4gxpvrx57c
Current NFT ID #7811 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
7811
Accession (UniProt):
P0DQJ2
Name::
U-actitoxin-Ate1
Experimental Method:
Predicted structure
Sequence source:
Actinia tenebrosa

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 P0DQJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DQJ2|ACR1_ACTTE U-actitoxin-Ate1 OS=Actinia tenebrosa OX=6105 PE=1 SV=1 MSLILIFFAFTVLKSSKWICANRSVCPI