P47779 AF NFT

Eosinophil cationic protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicnvwsuu4gtaq3ewguxynjjfxtye5xxogqyjhnjxs6fkrzamiuv5i/metadata.json
IPFS of structure file: 
bafybeido2od737wq76vvgplnsa4pkoc2hv7dad5i7mnnoygcywdxxurfee/AF-P47779-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x698328354703946bB87B53D91FAf87CCd5315F42
First NFT owner address (bech32): 
genesis1dxpjsd28qw2xhwrm20v3ltu8en2nzh6zhs6lf2
Current NFT ID #110126 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
110126
Accession (UniProt):
P47779
Name::
Eosinophil cationic protein
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 P47779 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P47779|ECP_MACFA Eosinophil cationic protein OS=Macaca fascicularis OX=9541 GN=RNASE3 PE=3 SV=1 MVPKLFTSQICLLLLLGLMGVEGSLHARPPQFTKAQWFAIQHINVNPPRCTIAMRVINNYQRRCKNQNTFLRTTFAYTANVCRNERIRCPRNRTLHNCHRSRYRVPLLHCDLINPGAQNISTCRYADRPGRRFYVVACESRDPRDSPRYPVVPVHLDTTI