Q0VB07 AF NFT

Peptidoglycan recognition protein 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic3bgns7oxsktbtxwgtxnbq23ioyug6cyoxog6d7rj3bay7cjs3ua/metadata.json
IPFS of structure file: 
bafybeifgouexyvo73uso7stmymyuouiyn7fl6bf2rz2zky4mug72kiybju/AF-Q0VB07-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaBea2334E0055Ee4315718a06ED8EA4943723724
First NFT owner address (bech32): 
genesis1404zxd8qq40wgv2hrzsxak82f9phydeymzz0st
Current NFT ID #297263 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297263
Accession (UniProt):
Q0VB07
Name::
Peptidoglycan recognition protein 4
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q0VB07 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0VB07|PGRP4_MOUSE Peptidoglycan recognition protein 4 OS=Mus musculus OX=10090 GN=Pglyrp4 PE=2 SV=1 MLSWLLVFSILVLLAQGVSSWENPQTDQVSEGLQQLFGNISQLFEKGILGRDDVFTMVSREEWGAEAIGCSSKLSRPVDVLVIHHIPGLECHNKTVCSQKLRELQAYHIHNSWCDVAYNFLVGDDGRVYEGVGWNVQGSHDQGYKNISLGVAFFGTQEGHSPSPVALSAMKGLISYAVKKGHLSSKYIQPLLAKSEDCLVPPQKGKQKKACPHIVPRSVWGARDSHCSRMTLPAKYAIILHTAGRTCSQPDECRLLVRDLQSFFMNRLNACDIGYNFLVGQDGGVYEGVGWNNQGSKTDSYNDISLSITFMGTFTGSPPNAAALEAAQDLIRCAVVKGYLTPNYLLMGHSDVSNTLSPGQALYNIIKTWPHFKH