Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Diener, C; Garza, Ramos, Martínez, G; Moreno, Blas, D; Castillo, González, DA; Corzo, G; Castro-Obregon, S; Del, Rio, G.
Effective Design of Multifunctional Peptides by Combining Compatible Functions.
PLoS Comput Biol. 2016; 12(4): e1004786
Doi: 10.1371/journal.pcbi.1004786
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- Leading authors Med Uni Graz
- Diener Christian
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- Abstract:
- Multifunctionality is a common trait of many natural proteins and peptides, yet the rules to generate such multifunctionality remain unclear. We propose that the rules defining some protein/peptide functions are compatible. To explore this hypothesis, we trained a computational method to predict cell-penetrating peptides at the sequence level and learned that antimicrobial peptides and DNA-binding proteins are compatible with the rules of our predictor. Based on this finding, we expected that designing peptides for CPP activity may render AMP and DNA-binding activities. To test this prediction, we designed peptides that embedded two independent functional domains (nuclear localization and yeast pheromone activity), linked by optimizing their composition to fit the rules characterizing cell-penetrating peptides. These peptides presented effective cell penetration, DNA-binding, pheromone and antimicrobial activities, thus confirming the effectiveness of our computational approach to design multifunctional peptides with potential therapeutic uses. Our computational implementation is available at http://bis.ifc.unam.mx/en/software/dcf.
- Find related publications in this database (using NLM MeSH Indexing)
- Algorithms - administration & dosage
- Amino Acid Sequence - administration & dosage
- Animals - administration & dosage
- Antimicrobial Cationic Peptides - chemistry, genetics, physiology
- Cell-Penetrating Peptides - chemistry, genetics, physiology
- Cells, Cultured - administration & dosage
- Computational Biology - administration & dosage
- DNA-Binding Proteins - chemistry, genetics, physiology
- Drug Design - administration & dosage
- Escherichia coli - drug effects, growth & development
- Machine Learning - administration & dosage
- Mice - administration & dosage
- Models, Statistical - administration & dosage
- Molecular Sequence Data - administration & dosage
- Nuclear Localization Signals - administration & dosage
- Peptides - chemistry, genetics, physiology
- Protein Binding - administration & dosage
- Protein Engineering - methods, statistics & numerical data
- Protein Structure, Secondary - administration & dosage