Computational and experimental analysis of short peptide motifs for enzyme inhibition

Autor: Azka Ahmed, Junhao Dong, Jinglin Fu, Anthony Cooper, Ting Zhang, Minyoung Lee, John W. Whittaker, Luca Larini
Rok vydání: 2017
Předmět:
Proteomics
Amino Acid Motifs
lcsh:Medicine
Peptide
02 engineering and technology
Plasma protein binding
Molecular Dynamics
Biochemistry
01 natural sciences
Protein Structure
Secondary

Database and Informatics Methods
Computational Chemistry
Protein structure
Enzyme Inhibitors
Amino Acids
lcsh:Science
Peptide Libraries
chemistry.chemical_classification
Alanine
Multidisciplinary
Organic Compounds
Chemical Synthesis
Alanine scanning
021001 nanoscience & nanotechnology
Enzymes
3. Good health
Chemistry
Physical Sciences
0210 nano-technology
Sequence Analysis
Protein Binding
Research Article
Biosynthetic Techniques
Bioinformatics
Library Screening
Molecular Dynamics Simulation
Research and Analysis Methods
010402 general chemistry
Inhibitory Concentration 50
Sequence Motif Analysis
Binding site
Molecular Biology Techniques
Molecular Biology
Peptide Synthesis
Molecular Biology Assays and Analysis Techniques
Binding Sites
lcsh:R
Organic Chemistry
Chemical Compounds
Biology and Life Sciences
Proteins
beta-Galactosidase
0104 chemical sciences
Enzyme Activation
Enzyme
Aliphatic Amino Acids
chemistry
Enzymology
lcsh:Q
Peptides
Function (biology)
Zdroj: PLoS ONE
PLoS ONE, Vol 12, Iss 8, p e0182847 (2017)
ISSN: 1932-6203
Popis: The metabolism of living systems involves many enzymes that play key roles as catalysts and are essential to biological function. Searching ligands with the ability to modulate enzyme activities is central to diagnosis and therapeutics. Peptides represent a promising class of potential enzyme modulators due to the large chemical diversity, and well-established methods for library synthesis. Peptides and their derivatives are found to play critical roles in modulating enzymes and mediating cellular uptakes, which are increasingly valuable in therapeutics. We present a methodology that uses molecular dynamics (MD) and point-variant screening to identify short peptide motifs that are critical for inhibiting β-galactosidase (β-Gal). MD was used to simulate the conformations of peptides and to suggest short motifs that were most populated in simulated conformations. The function of the simulated motifs was further validated by the experimental point-variant screening as critical segments for inhibiting the enzyme. Based on the validated motifs, we eventually identified a 7-mer short peptide for inhibiting an enzyme with low μM IC50. The advantage of our methodology is the relatively simplified simulation that is informative enough to identify the critical sequence of a peptide inhibitor, with a precision comparable to truncation and alanine scanning experiments. Our combined experimental and computational approach does not rely on a detailed understanding of mechanistic and structural details. The MD simulation suggests the populated motifs that are consistent with the results of the experimental alanine and truncation scanning. This approach appears to be applicable to both natural and artificial peptides. With more discovered short motifs in the future, they could be exploited for modulating biocatalysis, and developing new medicine.
Databáze: OpenAIRE