P25289 AF NFT

Molluscan insulin-related peptide 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaasm55zc7usd6x27k4z3negnwbaywrl7twcwhhajm733fbmfbq6y/metadata.json
IPFS of structure file: 
bafybeidewqdytrcgvc6bbrdev7w3bb37vwnktab65vlhozcozohhfoixvu/AF-P25289-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x00c8B315905B14eEc67079b1ceA660779D5A86C1
First NFT owner address (bech32): 
genesis1qrytx9vstv2wa3ns0xcuafnqw7w44pkppj82kx
Current NFT ID #242134 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
242134
Accession (UniProt):
P25289
Name::
Molluscan insulin-related peptide 2
Experimental Method:
Predicted structure
Sequence source:
LYMNAEA STAGNALIS

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 P25289 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P25289|MPI2_LYMST Molluscan insulin-related peptide 2 OS=Lymnaea stagnalis OX=6523 PE=1 SV=1 MVGVRLVFTNAFVVTVLLTLLLDVVVKPAEGQSSCSLSSRPHPRGICGSNLAGFRAFICSNQNSPSMVKRDAETGWLLPETMVKRNAETDLDDPLRNIKLSSESALTYLTKRQRTTNLVCECCFNYCTPDVVRKYCY