Q70PU2 AF NFT

Peptidoglycan-recognition protein SC1a/b

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia3zdzq6slbktipiydljquvpplisjzhkoggjqui47ogax6r52eexe/metadata.json
IPFS of structure file: 
bafybeiez3ij46wraag2q5hzza43sezekqvwuiajefbe5c4ki47jiubxtc4/AF-Q70PU2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5
First NFT owner address (bech32): 
genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j
Current NFT ID #297343 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297343
Accession (UniProt):
Q70PU2
Name::
Peptidoglycan-recognition protein SC1a/b
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA SIMULANS

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 Q70PU2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q70PU2|PGSC1_DROSI Peptidoglycan-recognition protein SC1a/b OS=Drosophila simulans OX=7240 GN=PGRP-SC1a PE=3 SV=1 MVSKVALLLAVLVCSQYMAQGVYVVSKAEWGGRGAKWTVALGNYLSYAIIHHTAGSYCETRAQCNAVLQSVQAYHMDSLGWPDIGYNFLIGGDGNVYEGRGWNNMGAHAAEWNPYSIGISFLGNYNWDTLEPNMISAAQQLLNDAVNRGQLSSGYILYGHRQVSATECPGTHIWNEIRGWSHWSG