O76537 AF NFT

Peptidoglycan recognition protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih2xn3efghofnmt7cqizfuq4klpt6dmkjbmskulqovgrlzjcwktky/metadata.json
IPFS of structure file: 
bafybeif7bli4ifpm7t5a5owkaccwzmoslw4g66o4cxzfqu6utjuprcklfu/AF-O76537-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2B6383898c41F2462737128e3CAF97Eebe0482a0
First NFT owner address (bech32): 
genesis19d3c8zvvg8eyvfehz28retuha6lqfq4qs4ggg4
Current NFT ID #297265 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297265
Accession (UniProt):
O76537
Name::
Peptidoglycan recognition protein
Experimental Method:
Predicted structure
Sequence source:
TRICHOPLUSIA NI

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 O76537 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O76537|PGRP_TRINI Peptidoglycan recognition protein OS=Trichoplusia ni OX=7111 GN=PGRP PE=1 SV=1 MEILFVLFFVFVTVSGDCGVVTKDEWDGLTPIHVEYLARPVELVIIQHTVTSTCNTDAACAQIVRNIQSYHMDNLNYWDIGSSFIIGGNGKVYEGAGWLHVGAHTYGYNRKSIGITFIGNYNNDKPTQKSLDALRALLRCGVERGHLTANYHIVGHRQLISTESPGRKLYNEIRRWDHFLDN