Q9VYX7 AF NFT

Peptidoglycan-recognition protein SA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5uowhsom2jeozrh5ji3xtubjfslhbhavo3floqw4k3nywfhp2lm/metadata.json
IPFS of structure file: 
bafybeifikqqinh4lupftcpxsnratgr4vqioxb4fdll77ersrib5zhmy42u/AF-Q9VYX7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8d96d6Ee1CD7B2e188d9779006d86D77205A1292
First NFT owner address (bech32): 
genesis13ktddmsu67ewrzxew7gqdkrdwus95y5j6rj5dw
Current NFT ID #297195 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297195
Accession (UniProt):
Q9VYX7
Name::
Peptidoglycan-recognition protein SA
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 Q9VYX7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VYX7|PGPSA_DROME Peptidoglycan-recognition protein SA OS=Drosophila melanogaster OX=7227 GN=PGRP-SA PE=1 SV=1 MQPVRFGSPWIMAIGLVLLLLAFVSAGKSRQRSPANCPTIKLKRQWGGKPSLGLHYQVRPIRYVVIHHTVTGECSGLLKCAEILQNMQAYHQNELDFNDISYNFLIGNDGIVYEGTGWGLRGAHTYGYNAIGTGIAFIGNFVDKLPSDAALQAAKDLLACGVQQGELSEDYALIAGSQVISTQSPGLTLYNEIQEWPHWLSNP