Q6IQA2 AF NFT

LysM and putative peptidoglycan-binding domain-containing protein 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeideodzddts72p2mn4ih4ps5d2q3b65jcwtptmek5snsll4bivkapi/metadata.json
IPFS of structure file: 
bafybeichxy2sh2fixdgbapmar3v2zfzvbbc76sb6t36w6rncjckkzqsx5e/AF-Q6IQA2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #222396 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
222396
Accession (UniProt):
Q6IQA2
Name::
LysM and putative peptidoglycan-binding domain-containing protein 3
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6IQA2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6IQA2|LYSM3_DANRE LysM and putative peptidoglycan-binding domain-containing protein 3 OS=Danio rerio OX=7955 GN=lysmd3 PE=2 SV=1 MTGRNQHNGFQFATAVQPATGAYMSAFGNNSETEYSEEDGEAFELRSRGRERHHRSTSRDRKDDIVYLIREIKEGDTLISISLQYFCTVADIKRANNLLTEQDFFALRSLRIPVRKFSSFTETHNTAPHKSSSPSGTCRITETPVSGASLDSTSSSSSADSVECFLQEKDKDIQQLVKSSAPSRNSLSEVVSSLEQPLLGDAERRPAIKKDPYYGADWGMRWWTAVAIMLVVGIVTPVFYLLYYEVLMKADVSHHTTIDSIRPGPTQPAIAEPLVLPQANAAPHQDSHLLPVIEQQHHVKHQEET