P0DMW7 AF NFT

PI-actitoxin-Aeq3b

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigthf4zlvqakdzcknsno7vfaitumua2rtfjyv3hqejtwzyvrpcxky/metadata.json
IPFS of structure file: 
bafybeicxr6uz4ojchkrjhczsvjueq64t5va2fsomanhxyxzjuj74xdykva/AF-P0DMW7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9Ec94c6148F6b532E1677ED2BC7dce3c02B1e434
First NFT owner address (bech32): 
genesis1nmy5cc2g766n9ct80mftclww8sptrep57x9l0x
Current NFT ID #496861 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496861
Accession (UniProt):
P0DMW7
Name::
PI-actitoxin-Aeq3b
Experimental Method:
Predicted structure
Sequence source:
ACTINIA EQUINA

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 P0DMW7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DMW7|VKT3B_ACTEQ PI-actitoxin-Aeq3b OS=Actinia equina OX=6106 PE=1 SV=1 DASSFCQLPAVVGKCRGYFPRFYYNTEAGKCQQFIYGGCGGNRNNFETVEDCRATCHSH