Q9V4X2 AF NFT

Peptidoglycan-recognition protein SC2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaom365clai6ulam34gypzw3maymjft6zzrqfj2oydbbgbp5pkdoe/metadata.json
IPFS of structure file: 
bafybeifhg2bgh6tus6bhbt4jc4twhcijhcvxgwilclkfa5kidhp3lzzfza/AF-Q9V4X2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40eeFb683B906BDd6284897B2F4EE98a0eAf22bd
First NFT owner address (bech32): 
genesis1grh0k6pmjp4a6c5y39aj7nhf3g827g4awp0s0n
Current NFT ID #297344 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297344
Accession (UniProt):
Q9V4X2
Name::
Peptidoglycan-recognition protein SC2
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 Q9V4X2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9V4X2|PGSC2_DROME Peptidoglycan-recognition protein SC2 OS=Drosophila melanogaster OX=7227 GN=PGRP-SC2 PE=2 SV=1 MANKALILLAVLFCAQAVLGVTIISKSEWGGRSATSKTSLANYLSYAVIHHTAGNYCSTKAACITQLQNIQAYHMDSLGWADIGYNFLIGGDGNVYEGRGWNVMGAHATNWNSKSIGISFLGNYNTNTLTSAQITAAKGLLSDAVSRGQIVSGYILYGHRQVGSTECPGTNIWNEIRTWSNWKA