Articles tagged with Drug Interactions
A study conducted at a Brazilian university found that treatment with curcumin and light reduces parasite load and eliminates Leishmania parasites completely. Curcumin showed good distribution in macrophages and reduced amastigotes' viability, changing their mitochondrial activity.
Researchers have determined the structure of human leukotriene B4 receptor 1 (hBLT1), a protein involved in inflammation and disease. The analysis reveals how the receptor recognizes its binding partners and interacts with them, opening up avenues for designing better drugs.
Researchers have developed a neural network model called BiteNetPp to detect protein-peptide binding sites, enabling the design of peptide-based drugs. The model consistently outperforms existing methods and can analyze a single protein structure in under a second, making it suitable for large-scale studies.
A new model using simple changes in microbe growth curves can predict how antibiotic resistance evolves in response to different treatment combinations, doses and sequences. The model helps explain counterintuitive behavior observed in past experiments, such as slowed evolution when combining two antibiotics.
Researchers identified a specific interaction between SARS-CoV-2 and G-quadruplexes in human cells. Using G4 ligands, they showed antiviral activity against the virus.
Researchers at Baylor College of Medicine found that a modular network organization is critical for persistent neural activity in the brain. The study revealed that each hemisphere makes its own copy of information and coordinates with the other hemisphere to ensure coherent information during working memory.
A joint research group from KAIST and Institut Pasteur Korea has identified 38 potential repurposed drugs for COVID-19 treatment using a virtual screening strategy. Seven compounds inhibited SARS-CoV-2 replication in human lung cells, showing anti-SARS-CoV-2 activity.
Researchers at the University of Birmingham have developed a new screening method to test therapeutic molecules designed to bind proteins together. The method uses mass spectrometry to measure the precise mass of proteins and their 'glue' compounds, identifying the strongest glue to treat diseases.
Researchers have developed a tool to predict the biological activity of any molecule using deep machine learning methods. The system integrates experimental data with AI models to complete incomplete information about bioactivity profiles, enabling the selection of suitable candidates for drug discovery.
Researchers urge the study of collective behavior to rise to a 'crisis discipline' due to its impact on global crises like pandemics and climate change. Social media platforms prioritize engagement over accuracy and sustainability, posing significant threats to public health and ecological stability.
A Rutgers study suggests that individuals with high sensation-seeking traits may be more susceptible to drug addiction due to a genetic predisposition. High-sensation-seeking rats showed stronger motivation for cocaine, making them more prone to developing addictive behavior.
Scientists identified conolidine's interaction with ACKR3/CXCR7, a novel opioid receptor, to increase analgesic activity and block pain relief-dampening effects. A synthetic analogue, RTI-5152-12, was developed to enhance pharmacological properties.
A study of 4,763 individuals found that those with frequent depressive symptoms were more likely to experience rapid kidney function decline over a median follow-up period of 4 years. The study suggests that high depressive symptoms may be an important modifiable risk factor for chronic kidney disease.
Researchers analyzed YouTube comments on exotic animal videos and found overwhelmingly positive reactions to human-animal interactions. The study highlights concerns about the normalization of exotic pets and the exotic pet trade due to platform portrayals.
The Regenstrief Institute emphasizes the importance of algorithmic performance in healthcare, highlighting the need for systematic surveillance and vigilance to address inherent biases. Studies have shown that debiasing methods can help address disparities represented in data used to develop AI approaches.
A study by Toronto researchers found that Baker's yeast cells employ a consistent network of gene interactions to coordinate growth in response to various environments. The majority of genetic interactions remained present across different conditions, revealing the stability of the cellular genetic program.
The Martini forcefield offers fast but accurate coarse-grained simulations for soft matter systems, such as lipid membranes and proteins. The new version has been recalibrated with more reference data, enhancing its accuracy and usability in materials science and biophysics research.
Studies found that disrupting interaction between p53 and Mdm2 in tumor cells is less effective than thought, as it can impair immune cell function. New compound APG115 showed promise in boosting T cell activity against cancer, suggesting a potential therapeutic approach.
Cells migrating along networks of fibers exhibit different behavior than in a flat environment, with increased speed and altered interactions when encountering other cells or dividing. This study provides new understanding into cellular behavior and its relevance to drug delivery and wound healing.
Researchers used neutron scattering to investigate interactions between telaprevir and the SARS-CoV-2 main protease, discovering unforeseen changes in electric charges that were not predicted by computer simulations. This finding suggests that assumptions about binding behaviors should be based on individual atom-level observations rat...
A recent study published in JAMA Surgery found that patients have a more difficult time understanding and building trust with their surgeons when they cannot see the surgeon's entire face due to masking requirements. Patients reported improved communication and higher ratings for surgeons who wore clear masks.
Mohamed Abou Donia, a Princeton University professor, has made significant contributions to understanding the role of the microbiome in host health and disease outcomes. His work involves mapping microbiome-encoded genes involved in drug metabolism, revealing the potential for harnessing these molecules to treat human diseases.
Researchers at Simon Fraser University are developing robots that can measure essential healthcare information, such as physiological signals and oxygen levels. The robots aim to support remote healthcare tasks and may potentially interact with patients, process data, and prescribe medication in the future.
A new study assesses consumers' likelihood of adopting robo-advisory services, which provide automated investment advice. The analysis reveals that attitudes across cultures shape differences in local consumers' adoption of AI-based services.
A new study reveals that antibody effector functions are crucial for effectively treating COVID-19 infections, but dispensable when preventing infection. Researchers found that optimized effector functions can boost the potency of next-generation COVID-19 antibody drugs, while removing them may hinder treatment effectiveness.
Researchers have elucidated the molecular structure of the Y2 receptor, enabling the development of targeted drugs for treating epilepsy and cardiovascular diseases. The study reveals that Y2 receptor blockers bind differently than comparable molecules at the closely related Y1 subtype.
Sonoporation, a technique combining ultrasound with microbubbles, creates openings in cell membranes, allowing enhanced drug or gene intracellular delivery. Recent advances using contrast agents are expanding applications to gene expression, apoptosis, differentiation, and epigenetic reprogramming.
A recent study published in Clinical Pharmacology & Therapeutics found that diabetics taking goldenseal while on metformin may struggle to maintain healthy blood glucose levels. The study showed that goldenseal reduced metformin's concentration by 25% after six days of use, highlighting the risk of unwanted drug interactions.
Researchers at Terasaki Institute for Biomedical Innovation have developed a breast cancer-on-a-chip system to test immunotherapy drugs. The chip enables high-volume testing of immunotherapeutic drugs against tumor cells, allowing for the rapid screening of potential treatments.
A new deep-learning model has identified at least 10 compounds that may hold promise as treatments for COVID-19, including approved drugs like cyclosporine and anidulafungin. The model uses artificial intelligence to predict gene expression values for new chemicals, providing a valuable tool for pharmaceutical and clinical researchers.
Researchers analyze molecular dynamics of proposed COVID-19 drug candidates to understand their interactions with target proteins in human cells. They found that certain parts of the molecules can move more easily once hydrated, which could influence how efficiently a drug takes on shapes associated with different biological functions.
A team of international researchers found that certain FAK inhibitors remain bound to the protein for a long time, causing a structural change that inhibits cancer cell mobility. Computer simulations predicted the kinetics of binding well, allowing for more accurate simulation of drug dissociation rates.
The grant will enable UVA Health to serve more underserved groups and rural communities with acute and chronic illnesses, improving patient outcomes and reducing barriers to care.
A new computational method has been developed to analyze genetic and environmental interactions influencing disease risk, including body mass index and diabetes. The study found that prioritizing a smaller number of genetic variants in the genome improves analysis efficiency.
A study found that LSD enhances social behavior in mice by increasing excitatory neurotransmission in the medial prefrontal cortex. The neurobiological mechanisms underlying LSD's prosocial effects are unclear but may be linked to the mTORC1 protein complex.
Researchers have identified short linear motifs in SARS-CoV-2 receptors that facilitate viral entry and replication. The findings suggest targeting these motifs may help develop new treatments for COVID-19.
The journal features an original article on microfluidic technology and blood flow research, as well as review articles assessing antimicrobial peptides' potential in cancer therapy. It also discusses the interaction between COVID-19 and metabolic syndrome, and the entry mechanism of nanoparticles into tumors.
A novel virtual screening strategy identified pralatrexate as a promising treatment for Covid-19. Lab experiments showed that the chemotherapy medication inhibited viral replication more effectively than remdesivir.
Researchers have discovered a new way to deliver DNA-based therapies for diseases using polymers, which could lead to more affordable gene therapies or vaccines. The polymer technology works by packaging the nucleic acids in a carrier that protects them from degradation, allowing them to reach their target cells.
Researchers at Uppsala University have developed a new analysis method that can predict the risks and effects of immunotherapy drug Rituximab. The study found differences in how the drug interacts with healthy individuals versus patients with chronic lymphocytic leukemia, providing valuable insights into individual responses to treatment.
A new consortium will investigate the physical principles underlying coronavirus formation, using a multidisciplinary approach across multiple scales and environments. The research aims to develop drugs that can disrupt viral assembly, with potential applications in synthetic biology and medicine.
Researchers from the University of Vienna used high-resolution mass spectrometry to analyze environmental toxin interactions with therapeutics. The study found that exposure to substances like BPA and genistein can alter drug efficacy, leading to reduced effectiveness in cancer treatment and other conditions.
A new study by Rice University scientists has developed atomic resolution protein models that show frustration is necessary for protein function and can lead to better drug specificity. The models allow for the incorporation of co-factors like drug molecules, providing insight into why ligands bind best with specific proteins.
A recent analysis found limited research evaluating depression screening tools in patients with kidney failure. The most extensively studied tool was the Beck Depression Inventory II (BDI-II), but many studies were small and had shortcomings.
A new medication, mavacamten, has been shown to reduce heart muscle thickness and improve cardiac structure and function in patients with hypertrophic cardiomyopathy. The study found significant reductions in heart mass and improvements in blood flow, exercise capacity, and markers of fibrosis.
Researchers at the University of Bristol have developed a new virtual reality technique to aid in drug design against COVID-19. The innovative tool, called iMD-VR, enables users to 'step inside' a 3D model structure of the SARS-CoV-2 main protease and visualize molecules binding to the enzyme.
A team of scientists developed a soft, 3D silicone surface that replicates the topography and wettability of a real human tongue. The biomimetic surface demonstrated similar frictional properties to an actual human tongue, making it suitable for studying mechanical interactions with food, liquids, and medicines.
Purdue University engineers have developed a microfluidic device that allows scientists to test drugs on multiple tumor cell subtypes, revealing new insights into drug resistance. The technology mimics the behavior of pancreatic cancer cells within a tumor, enabling researchers to identify effective treatment strategies.
A new patient-reported outcome measure, SONG-HD Fatigue, has been validated to assess fatigue in patients receiving long-term dialysis treatments. The instrument calculates average fatigue over a period of 1 week, gauging tiredness, energy, and impact on life participation.
Researchers mapped host interactions of MERS-CoV, SARS-CoV-1 and SARS-CoV-2 to identify potential drug targets. Studying patient data showed that COVID-19 patients treated with drugs targeting specific host factors fared better.
The 38th Annual Meeting of The Obesity Society will present innovative scientific research results through oral and poster abstracts. These communications highlight new anti-obesity medication clinical trials and comparisons of weight loss diets.
A study by CNIC scientists reveals metoprolol's ability to protect the heart during a heart attack is not shared by other beta-blockers. This unique property limits inflammatory damage and hyperactivation of neutrophils, which can cause significant additional injury to the heart.
A new poll shows that over half of older adults take two or more non-prescription drugs or supplements, and two in ten take five or more prescription medications. Many are unaware of the importance of comprehensive medication reviews, which can identify potential interactions and help save money. The poll suggests opportunities for pro...
Researchers from UNICAMP found that valproic acid can modify DNA conformation and interact with chromosome proteins. The compound causes changes in the conformation of histones H1 and H3, as well as DNA superstructure and molecular order. This discovery paves the way for novel pharmaceutical research.
The Human Brain Project is launching a new webinar series called 'Brain Matters', featuring hour-long sessions on different areas of brain research. Expert speakers will share their knowledge on the HBP's scientific achievements and the state-of-the-art infrastructure for brain research, EBRAINS.
Researchers developed a new method to determine the effectiveness of combining two antibiotics, providing greater scope for customizing treatment. The CombiANT method allows laboratories to easily test interactions and can provide crucial information for treating bacterial infections.
A new study found that 1 in 10 older adult dental patients were inappropriately prescribed opioid medication combinations, often with psychiatric medications. These combinations increased the risk of hospitalizations and emergency room visits by 23%.
Common medications can cause arrhythmias, which can lead to symptoms like tachycardia or bradycardia. Healthcare professionals should monitor patients for risk factors and adjust medication dosages accordingly.
A recent study examined the pharmacist's role in HIV care in France, revealing that only 40% of pharmacists systematically offer online patient medication files to people living with HIV. The survey also found that 7% of those who were offered medication interviews felt well taken care of.
Research suggests that growth-restricted fetuses metabolize drugs differently due to reduced enzyme efficiency, putting them at increased risk of long-term health consequences. The 'one size fits all' approach to medication dosing during pregnancy may not be effective for all women and their babies.