Q9BP67 AF NFT

Conotoxin ArMSGL-0122

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifwbkg2ndcsmql76ig24azsaz4ahzi2elxsddoxnptlamza4mo2qu/metadata.json
IPFS of structure file: 
bafybeihnnkqnsj6yz67qgbd5saenwixgb54znq7heely6tbirblwp6plue/AF-Q9BP67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE44BC5A672E798FFA7bFD27127EF616fEF8330bB
First NFT owner address (bech32): 
genesis1u39utfnju7v0lfal6fcj0mmpdlhcxv9my9jl2z
Current NFT ID #278783 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
278783
Accession (UniProt):
Q9BP67
Name::
Conotoxin ArMSGL-0122
Experimental Method:
Predicted structure
Sequence source:
Conus arenatus

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 Q9BP67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BP67|O3624_CONAE Conotoxin ArMSGL-0122 OS=Conus arenatus OX=89451 PE=2 SV=1 MSRLGIMVLTLLLLVFIVTSHQDAGEKQATQRAAINFRWKRSLTRRTATEECEEYCEDEEKTCCGEEDGEPVCARFCLG