Q9BP64 AF NFT

Conotoxin PnMSGL-01

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicv4stzbomknweoswflfg4fcelqjpbbyz6ycqzptllitg33rvlh3m/metadata.json
IPFS of structure file: 
bafybeiecreknxbfzthqto2537aklrkqe5lzbtygdr2jlckboa7vgvi4qaa/AF-Q9BP64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7b62bBB2fd1BEFAF6006b9Ca6951A38Dfd038f9d
First NFT owner address (bech32): 
genesis10d3thvhar0h67cqxh89xj5dr3h7s8rua0gkvwr
Current NFT ID #278775 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
278775
Accession (UniProt):
Q9BP64
Name::
Conotoxin PnMSGL-01
Experimental Method:
Predicted structure
Sequence source:
CONUS PENNACEUS

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 Q9BP64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BP64|O3610_CONPE Conotoxin PnMSGL-01 OS=Conus pennaceus OX=37335 PE=2 SV=1 MSGLGIMVLTLLLLVFMETSHQDAGEKQAMQRDAINVRRRRSITRRVSEACEESCEDEEKHCCHENNGVYTCLRYCWG