P0CJ23 AF NFT

Neuropeptide Y2-like conopeptide

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiesxrcltkbfwhexfxc3v6utql5thcelvp3vifafdjmradqe3qssti/metadata.json
IPFS of structure file: 
bafybeif4tpdefwnbbehakwg2td5ci4g5hewk3fwil726kqrkn7prcmemfi/AF-P0CJ23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xef251A90f23B84BEF262c4cBc05D31455ad24A7d
First NFT owner address (bech32): 
genesis1auj34y8j8wztaunzcn9uqhf3g4ddyjnacaxwu7
Current NFT ID #268439 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
268439
Accession (UniProt):
P0CJ23
Name::
Neuropeptide Y2-like conopeptide
Experimental Method:
Predicted structure
Sequence source:
Conus betulinus

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 P0CJ23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CJ23|NPY2_CONBE Neuropeptide Y2-like conopeptide OS=Conus betulinus OX=89764 PE=1 SV=1 TVSDPPARPAVFHSREELMNYVRELNLYFAIVGRPRY