P07223 AF NFT

Molluscan insulin-related peptide 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieozxymmojwb6ew4tpn3j5bajxxbp5rtn434soj3sby6imisa7ovy/metadata.json
IPFS of structure file: 
bafybeid4hjjqvkjvy2bb5xubugncwtbp4hjhpfstecgnqp7wuv4u63qrjm/AF-P07223-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA333d17f7551Ee5c71e23Ac336632818932d37Fb
First NFT owner address (bech32): 
genesis15veazlm428h9cu0z8tpnvcegrzfj6dlmtzk0jn
Current NFT ID #242132 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
242132
Accession (UniProt):
P07223
Name::
Molluscan insulin-related peptide 1
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 P07223 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P07223|MPI1_LYMST Molluscan insulin-related peptide 1 OS=Lymnaea stagnalis OX=6523 PE=1 SV=2 MAGVRLVFTKAFMVTVLLTLLLNIGVKPAEGQFSACNINDRPHRRGVCGSALADLVDFACSSSNQPAMVKRNAETDLDDPLRNIKLSSESALTYLTKRQGTTNIVCECCMKPCTLSELRQYCP