Q9VV96 AF NFT

Peptidoglycan-recognition protein SB2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieybb4mix6kbdnhikuzjco35ndddsg6k4ltaimydabml2dtpardqu/metadata.json
IPFS of structure file: 
bafybeibl26lkw6lb5qvmzk4mz7ykqiyzvtggpgiq57uhgvyknzo52wr57i/AF-Q9VV96-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01aC486776AfBeE367A940B4DEb7E3121eE9a882
First NFT owner address (bech32): 
genesis1qxkysemk47lwxeafgz6dadlrzg0wn2yz99gkay
Current NFT ID #297341 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297341
Accession (UniProt):
Q9VV96
Name::
Peptidoglycan-recognition protein SB2
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VV96 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VV96|PGSB2_DROME Peptidoglycan-recognition protein SB2 OS=Drosophila melanogaster OX=7227 GN=PGRP-SB2 PE=2 SV=1 MKLQLALVLCGLTLALGQIVPRSSWCPVPISPRMPRLMVPVRLIIIHHTVTAPCFNPHQCQLVLRQIRADHMRRKFRDIGYNFLIGGDGRIYEGLGFGIRGEHAPRYNSQSIGIAFIGNFQTGLPPSQMLQAARTLIQIAVQRRQVSPNYSVVGHCQTKATACPGIHLLNELKKWPNWRPKP