Q9BP63 AF NFT

Conotoxin PnMSGL-03

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiam25vrhpcsq3e7azazbkxx567orotv4rehs246dlusha2ezx53qe/metadata.json
IPFS of structure file: 
bafybeicnn6vp63co6qb3czvhhla5eh7ozitetruc4azlgu2cqxnyt4kzoy/AF-Q9BP63-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x64B78f4257919581cCE801d619C8253245b97Bc8
First NFT owner address (bech32): 
genesis1vjmc7sjhjx2crn8gq8tpnjp9xfzmj77g6whgjj
Current NFT ID #278776 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
278776
Accession (UniProt):
Q9BP63
Name::
Conotoxin PnMSGL-03
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 Q9BP63 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BP63|O3611_CONPE Conotoxin PnMSGL-03 OS=Conus pennaceus OX=37335 PE=2 SV=1 MSRLGIMVLTLLLLVFIVTSHQDAGEKQATQRDAINFRWRRSLIRRTATEECEEYCEDEEKTCCGLEDGEPVCATTCLG