P69095 AF NFT

Peptide YY-like

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigsqbpxud3h6c5v4zmn3d4opkwzc6jks5r7xuwbqrbkcadjs3jqry/metadata.json
IPFS of structure file: 
bafybeiew4aswll565fxnjyvgpb4ympaaetuoicvovxq53l5ndlmawspkyy/AF-P69095-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8a979B6826895aA149e9438c980E13ef9Ba70A5D
First NFT owner address (bech32): 
genesis132tek6px39d2zj0fgwxfsrsna7d6wzjafzqxm8
Current NFT ID #329197 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
329197
Accession (UniProt):
P69095
Name::
Peptide YY-like
Experimental Method:
Predicted structure
Sequence source:
Scyliorhinus canicula

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 P69095 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P69095|PYY_SCYCA Peptide YY-like OS=Scyliorhinus canicula OX=7830 PE=1 SV=1 YPPKPENPGEDAPPEELAKYYSALRHYINLITRQRY