Q9GK12 AF NFT

Peptidoglycan recognition protein 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawepjltgcsc4ef6dougcbk5cmq7ffpzobz4meeptvmniat2vp23m/metadata.json
IPFS of structure file: 
bafybeibvhgceebwbmgardpibcsuylsuugsyalktqgavoin26d6a7nu3caa/AF-Q9GK12-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9cF378e1AE3788b0f9f7F6910A4e1CE80D6DAb25
First NFT owner address (bech32): 
genesis1nneh3cdwx7ytp70h76gs5nsuaqxkm2e9zuly8p
Current NFT ID #297250 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297250
Accession (UniProt):
Q9GK12
Name::
Peptidoglycan recognition protein 1
Experimental Method:
Predicted structure
Sequence source:
CAMELUS DROMEDARIUS

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 Q9GK12 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9GK12|PGRP1_CAMDR Peptidoglycan recognition protein 1 OS=Camelus dromedarius OX=9838 GN=PGLYRP1 PE=1 SV=1 MTRHCVLLVWALLALLSLGAAREDPPACGSIVPRREWRALASECRERLTRPVRYVVVSHTAGSHCDTPASCAQQAQNVQSYHVRNLGWCDVGYNFLIGEDGLVYEGRGWNIKGAHAGPTWNPISIGISFMGNYMNRVPPPRALRAAQNLLACGVALGALRSNYEVKGHRDVQPTLSPGDRLYEIIQTWSHYRA