Articles tagged with Drug Discovery
Researchers at University Hospitals and Case Western Reserve University have discovered a small-molecule oral drug that reduces PCSK9 levels and lowers cholesterol by 70% in animal models. This breakthrough could also improve the efficacy of cancer immunotherapies.
Carrying out scientific experiments in space enables faster drug discovery due to lower gravity, speeding up the development of complex medicines. Protein crystallization experiments have been instrumental in designing cancer drugs, while studying aging treatments could lead to breakthroughs in stem cell therapy.
A research team developed a vaccine targeting synthetic opioid fentanyl to block its entry into the brain, preventing fatal effects. The breakthrough could have major implications for treating Opioid Use Disorder, with potential relapse prevention capabilities.
Researchers found that MK256 induced differentiation and maturation in leukemia stem cells, inhibiting proliferation of AML cell lines. The study also showed dose-dependent inhibition of the STAT pathway in both in vitro and in vivo studies.
Researchers found histamine releases HMGB1 in vascular endothelial cells, leading to severe symptoms. Administering anti-HMGB1 antibody attenuated hypotension and improved recovery rates.
Researchers found that rapamycin treatment during developmental growth phase decelerates aging rate and extends lifespan in animals. A transient late-life treatment is not effective, but a transient early-life treatment can reprogram aging.
A comparison of two cancer drugs reveals that life cycle management strategy is crucial for a drug's commercial success. The research found that product sales are closely linked to the number of approved indications and inter-organizational alliances.
Researchers aim to use quantum computer-based AI to accelerate drug discovery, cutting costs and time by exponentially increasing processing power for complex problems. Quantum AI models have higher capability to approximate desired functionality compared to classical neural networks.
A new study in Cell Systems explores the benefits of using multiple data types in drug discovery. Gene expression and cell morphology provide complementary information for drug prioritization, advancing drug discovery, functional genomics, and precision medicine.
Researchers have developed a novel method for antibiotic resistance testing that can analyze bacterial cells in real-time, allowing for faster identification of susceptible and resistant bacteria. This breakthrough technology has the potential to transform microbial screening in clinical and research labs.
Scientists at the University of Florida have identified two small molecules that inhibit precancerous cell progression and reverse a key process involved in pancreatic cancer progression. This discovery could lead to earlier treatments and improved survival rates for patients with pancreatic cancer.
A new AI model called CODE-AE can accurately predict the efficacy of novel drug compounds in humans, addressing a major challenge in drug discovery. The technique has been shown to improve accuracy and robustness over state-of-the-art methods, with potential applications in personalized medicine.
Scientists are conducting a first-of-its-kind study to investigate the origin of psychedelic compounds in fungi, including psilocybin found in 'magic mushrooms'. The research aims to understand the evolution of these compounds and their potential applications in medicine and conservation.
Researchers have identified a previously unknown biological contributor to postpartum depression: impaired autophagy, which limits the body's ability to clean up old genetic material. This finding may lead to new treatments and early identification of women at risk before they become ill.
A new drug, NMT5, has shown promising results in blocking SARS-CoV-2 infection in animals. The drug coats the virus with chemicals that temporarily alter the human ACE2 receptor, preventing it from infecting cells. In cell culture experiments, the Omicron variant of SARS-CoV-2 was prevented from attaching to human ACE2 receptors by 95%.
Using artificial intelligence, researchers from Tufts University have devised rules for faster and more effective identification of potential new drug cocktails against tuberculosis. The study developed a set of design principles to assemble drug combinations, reducing the amount of testing needed before moving to further study.
Researchers at Nagoya University have discovered a new treatment for type 1 diabetes that uses leptin to improve insulin-alternative effects in mice. The combination of leptin and a PTP1B inhibitor normalizes blood glucose levels without the need for insulin, reducing hypoglycemia risk.
Researchers at Tokyo Medical and Dental University identified a compound LAMZ that stimulates muscle cell growth, reduces bone resorption, and promotes bone formation. Administered to mice with locomotor frailty, LAMZ improved muscle and bone health.
Researchers found that mTOR inhibition is crucial for p53-mediated tumor suppression, delaying cancer and increasing lifespan. In the absence of mTOR inhibition, cancer-promoting senescent cells drive tumor growth.
A new study from MIT reveals that computer models predicting molecular interactions, like AlphaFold, need improvement to help identify drug mechanisms of action. Researchers improved the performance of these models using machine-learning techniques, but more work is needed.
A KAUST-led research team identified two drug treatments that boost the activity of molecules involved in cell adhesion, enhancing the ability of blood-forming stem cells to enter the bloodstream and produce new blood. This breakthrough could lead to improved bone marrow transplant success for leukemia patients.
Researchers have successfully engineered human immune cells to model an infection common among immunocompromised people, paving the way for new drug testing and treatments. The immune cell type created played a key role in infection, inflammation, and regeneration, but also served as a natural host for germs.
A study by Japanese researchers from Fujita Health University sheds light on the molecular mechanisms of contact dermatitis, revealing that neutrophil extracellular traps play a key role in the condition. The team's findings suggest that inhibiting NET formation could be a new therapeutic strategy for treating contact dermatitis.
Researchers used x-ray crystallography to study the main protease of SARS-CoV-2 at various temperatures, revealing subtle conformational changes and potential targets for drug design. These findings may inspire the development of new antiviral drugs to counteract COVID-19 and prevent future pandemics.
A team of Chan Zuckerberg Biohub scientists developed a deep-learning method, dubbed
Researchers at Nanyang Technological University in Singapore have developed a series of chemical-based compounds that could be potential drug candidates for treating pulmonary tuberculosis. The compounds were licensed by US-based Neuro-Horizon Pharma LLC for commercialization.
Researchers at VCU Massey Cancer Center have discovered a new target for treating high-risk neuroblastoma, a deadly pediatric cancer. A novel compound called SHP099 has shown promising results in shrinking tumors and killing cancer cells.
Researchers identified CUDC907 as a dual phosphoinositide-3 kinase/histone deacetylase inhibitor that promotes apoptosis in NF2 schwannoma cells. The compound reduced viability and induced cell cycle arrest in human merlin deficient Schwann cell models.
A new study from MIT and Broad Institute researchers analyzed interactions between nanoparticles and nearly 500 types of cancer cells, revealing thousands of biological traits that influence cell response. The findings could help tailor drug-delivery particles to specific types of cancer.
Researchers have identified 42 host cell proteins that contribute to the replication and spread of Lassa virus, a disease with high morbidity and mortality in Western Africa. One potential drug target, GSPT1, was found to be involved in viral-host interactions and showed antiviral activity against Lassa without cytotoxicity.
Researchers at University of California - San Diego launch nationwide clinical trial to investigate benfotiamine as a metabolic treatment approach for Alzheimer's disease. The trial aims to determine the effectiveness of high doses of benfotiamine in benefiting people with mild AD or mild cognitive impairment.
Researchers at the University of Birmingham developed a new technique using mass spectrometry to analyze drug-protein interactions in real tissue samples. This allows scientists to predict the therapeutic effect of drugs earlier, enabling more effective treatment options.
Researchers found that men who lose their Y chromosome as they age are more likely to experience deadly heart scarring and earlier death. The study suggests an existing drug may help counteract the effects of this loss, potentially leading to longer, healthier lives for affected men.
Researchers have discovered pairing Spinraza with valproic acid (VPA) can boost its therapeutic effects without increasing toxicity. This approach allows for improved SMN protein production in SMA patients, leading to longer survival and better muscle function.
A new AI technology called in silico FOCUS analyzes cell images to predict therapeutic effect of drugs for neurodegenerative disorders like Kennedy disease. The technology has 100% accuracy and can analyze several hundred thousand cells in just a few minutes.
Researchers at Insilico Medicine used their proprietary AI-driven target discovery engine, PandaOmics, to identify 17 high-confidence and 11 novel therapeutic targets for ALS. These targets were further validated in various model systems, including a c9ALS Drosophila model, and showed strong functional correlations to ALS. The study's ...
Researchers generated simple kidney-like structures called organoids and used them to identify potential drugs for adult-onset polycystic kidney disease. They found nine compounds that inhibited cyst growth without stunting overall growth.
Abemaciclib, a CDK4 & 6 inhibitor, showed profound inhibition of cell proliferation and triggered senescence and apoptosis in breast cancer cells. Continuous dosing provided sustained inhibition with irreversible effects through apoptosis, supporting the differentiated safety and efficacy profile.
Despite advances in biology and medicinal chemistry, research on schistosomiasis and other parasitic worm diseases remains at an early stage. Novel molecular targets and parasite signaling pathways may contribute to the development of new treatments.
Researchers have discovered eight potential leukemia-killing compounds that target mitochondria, inducing mitophagy to weaken cancer cells. The compounds showed significant synergy with existing chemotherapy drugs, offering a deadly one-two punch against leukemia.
Rensselaer researchers will use a five-year grant to develop novel inhibitors of the SARS-CoV-2 virus's CLpro and PLpro proteases. The team aims to create an orally bioavailable drug that can be administered at home, with the potential for improved antiviral activity when combined with other drugs like remdesivir.
Researchers at Rice University have developed a chemical process that can add two distinct functional groups to single alkenes, a breakthrough in drug design and materials science. The process uses manganese catalysts and photocalysts to enable radical ligand transfer, allowing for the creation of unique molecules.
Scientists at Chung-Ang University have pioneered a novel method for controlling microdroplet motion on solid surfaces using near-infrared light. This approach allows for more precise control than traditional thermal techniques and opens up new possibilities for applications in microfluidics, drug delivery, and self-cleaning surfaces.
Researchers use computational approach VarC to study the spatial relationships between protein variants, revealing that most cystic fibrosis patients have an unstable inner core. This understanding allows for modeling potential compounds and designing more effective drugs.
Researchers at Chalmers University of Technology have developed a groundbreaking microscopy technique that allows for the study of proteins, DNA, and other biological particles in their natural state. This innovation enables earlier detection of promising drug candidates and provides valuable insights into cell communication processes.
A research team from Tokyo University of Science has developed a new method to create copolymers with different metal species, which have potential uses in catalysis and drug discovery. The technique allows for controlling the composition of metal species in the resulting polymer.
Scientists at St. Jude Children's Research Hospital developed an algorithm to identify temperature-sensitive conformations in proteins, revealing the importance of water networks in ligand binding sites. The findings challenge the assumption that well-resolved cryogenic water positions are both precise and accurate.
Chemists at Scripps Research unveil a new method for synthesizing diverse and complex lactones from cheap dicarboxylic acids. This breakthrough enables the creation of valuable molecules, such as natural antibiotics and fragrances.
A study led by Tel Aviv University researchers reveals a common mechanism underlying genetic mutations associated with autism, schizophrenia, and other neurological disorders. The discovery points to an experimental drug developed by the team as a potential treatment for these conditions.
A study identified an 18-base osteogenetic ODN (iSN40) that promotes the differentiation of mouse osteoblasts and induces the expression of genes required for bone formation. This discovery offers a promising treatment option for osteoporosis, which affects 200 million people worldwide.
Researchers at UC Davis plan to screen hundreds of compounds to discover nonhallucinogenic treatments for substance use disorders. The study aims to understand the basic mechanisms by which these compounds impact addiction and develop more effective treatments.
A research team led by Professor Youdong Mao has developed a new method using time-resolved cryo-electron microscopy and machine learning-based 4D reconstruction to visualize the USP14-proteasome system in atomic detail. This reveals a 'multiverse' of parallel reality pathways, allowing for targeted inhibition of cancer cells.
The São Paulo School of Advanced Science on Pathogenic Trypanosomatids will bring together experts from different fields to discuss the fight against leishmaniasis and Chagas disease. Researchers will share state-of-the-art science and results of new research on epigenetics, drug discovery, and molecular biology.
The partnership aims to accelerate projects targeting the most dangerous bacteria. Since its founding, CARB-X has awarded $361 million to 92 projects from 12 countries.
A study published in Nature Communications sheds light on dopamine transporter (DAT) function, which regulates brain reward centre communication. The researchers discovered DAT depends on potassium, not just sodium, rewriting textbooks on its mechanism.
The UTMB-Novartis Alliance for Pandemic Preparedness will focus on coronaviruses, flaviviruses, and henipaviruses with pandemic potential. The partnership aims to develop safe and effective antiviral drugs against emerging pathogens like SARS-CoV-2.
Researchers at UC San Diego School of Medicine found that COVID-19, MIS-C and Kawasaki disease share similar underlying molecular patterns. The study reveals that MIS-C is a more severe version of the immune response than KD, with potential implications for improved disease diagnosis and treatment.
A large study has found six predictors that can help determine the optimal lithium dose for patients with bipolar disorder. The predictors include age, sex, kidney function, and medication use. The researchers hope to develop a digital app to aid psychiatrists in finding the right dose.
A new study suggests that supplementing a diet with Ascidiacea, also known as sea squirts, reverses some main signs of aging in animal models. The researchers found that plasmalogens, vital to body processes, decrease with age and contribute to neurodegenerative diseases like Alzheimer's and Parkinson's.
Researchers developed a deep learning-based model to predict drug-drug interactions using gene expression data. The DeSIDE-DDI model can identify potentially dangerous pairs and act as a drug safety monitoring system, helping establish the correct usage of drugs in the development phase.