Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Language
Publication year range
1.
ACS Chem Biol ; 19(8): 1757-1772, 2024 Aug 16.
Article in English | MEDLINE | ID: mdl-39017707

ABSTRACT

The engineering of novel protein-ligand binding interactions, particularly for complex drug-like molecules, is an unsolved problem, which could enable many practical applications of protein biosensors. In this work, we analyzed two engineered biosensors, derived from the plant hormone sensor PYR1, to recognize either the agrochemical mandipropamid or the synthetic cannabinoid WIN55,212-2. Using a combination of quantitative deep mutational scanning experiments and molecular dynamics simulations, we demonstrated that mutations at common positions can promote protein-ligand shape complementarity and revealed prominent differences in the electrostatic networks needed to complement diverse ligands. MD simulations indicate that both PYR1 protein-ligand complexes bind a single conformer of their target ligand that is close to the lowest free-energy conformer. Computational design using a fixed conformer and rigid body orientation led to new WIN55,212-2 sensors with nanomolar limits of detection. This work reveals mechanisms by which the versatile PYR1 biosensor scaffold can bind diverse ligands. This work also provides computational methods to sample realistic ligand conformers and rigid body alignments that simplify the computational design of biosensors for novel ligands of interest.


Subject(s)
Biosensing Techniques , Molecular Dynamics Simulation , Protein Binding , Biosensing Techniques/methods , Ligands , Morpholines/chemistry , Morpholines/metabolism , Benzoxazines/chemistry , Benzoxazines/metabolism , Naphthalenes/chemistry , Naphthalenes/metabolism , Protein Folding , Protein Engineering , Arabidopsis Proteins/metabolism , Arabidopsis Proteins/chemistry
2.
Braz. j. med. biol. res ; 51(8): e7299, 2018. graf
Article in English | LILACS | ID: biblio-951744

ABSTRACT

Non-alcoholic fatty liver disease (NAFLD) is a common disease associated with metabolic syndrome and can lead to life-threatening complications like hepatic carcinoma and cirrhosis. Exenatide, a glucagon-like peptide-1 (GLP-1) receptor agonist antidiabetic drug, has the capacity to overcome insulin resistance and attenuate hepatic steatosis but the specific underlying mechanism is unclear. This study was designed to investigate the underlying molecular mechanisms of exenatide therapy on NAFLD. We used in vivo and in vitro techniques to investigate the protective effects of exenatide on fatty liver via fat mass and obesity associated gene (FTO) in a high-fat (HF) diet-induced NAFLD animal model and related cell culture model. Exenatide significantly decreased body weight, serum glucose, insulin, insulin resistance, serum free fatty acid, triglyceride, total cholesterol, low-density lipoprotein, aspartate aminotransferase, and alanine aminotransferase levels in HF-induced obese rabbits. Histological analysis showed that exenatide significantly reversed HF-induced lipid accumulation and inflammatory changes accompanied by decreased FTO mRNA and protein expression, which were abrogated by PI3K inhibitor LY294002. This study indicated that pharmacological interventions with GLP-1 may represent a promising therapeutic strategy for NAFLD.


Subject(s)
Animals , Male , Rabbits , Peptides/pharmacology , Venoms/pharmacology , Protective Agents/pharmacology , Fatty Liver/metabolism , Non-alcoholic Fatty Liver Disease/drug therapy , Alpha-Ketoglutarate-Dependent Dioxygenase FTO/drug effects , Blood Glucose/analysis , Body Weight/drug effects , In Vitro Techniques , Gene Expression Regulation/drug effects , Morpholines/metabolism , Chromones/metabolism , Disease Models, Animal , Eating/drug effects , Enzyme Inhibitors/metabolism , Fatty Liver/pathology , Diet, High-Fat , Alpha-Ketoglutarate-Dependent Dioxygenase FTO/genetics , Exenatide , Insulin/blood , Malondialdehyde/analysis , Obesity/metabolism
SELECTION OF CITATIONS
SEARCH DETAIL