Articles tagged with Drug Discovery
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 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.
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 ...
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.
A Scripps Research study found that environmental cues learned during withdrawal are more powerful than those learned during the early phases of alcohol use, leading to more irresistible cravings. This discovery could lead to new treatments to minimize cravings in people with addictions.
Scientists at Scripps Research developed a new method called CATCH to image where drugs bind to their targets across different tissues and with higher precision than ever before. This technique allows for better understanding of why one drug is more potent or has a particular side effect compared to another.
Researchers at MIT developed an AI method that constrains machine-learning models to suggest molecules with producible chemical structures. The approach guarantees quality and speed, outperforming existing methods in proposing high-quality molecular structures.
Researchers at Tokyo University of Science discovered that disulfiram inhibits FROUNT protein and chemokine signaling pathways, reducing anxiety levels in mice. The study suggests a potential breakthrough anti-anxiety medication with safe and effective treatment for elderly patients suffering from anxiety and insomnia.
Researchers at University Hospitals and Case Western Reserve University have discovered a new receptor, Ptprd, that controls appetite and body weight. The receptor trap drug suppresses appetite, body weight, and blood glucose levels in obese mice.
Scientists have identified a potential new antibiotic candidate from the rare soil microbe Lentzea flaviverrucosa. The discovery was made using genomics-based approaches and shows that this actinomycete produces two different bioactive molecules that are active against various types of cancer cells.
Scientists at the University of Bath have developed a new technique called Transcription Block Survival (TBS) to accelerate the discovery of cancer-fighting drugs. TBS identifies molecules that can shut down dangerous proteins before they wreak havoc, by blocking their interaction with cell DNA.
Researchers at CU Cancer Center have developed a lead drug that inhibits the oncogene CHD1L, a chromatin remodeling enzyme that aids tumor progression and metastasis in many cancer types. The drug, called 6.11, has shown promising biological activity against CHD1L.
Researchers have captured the first real-time signaling cascade of a wild-type receptor in its native membrane environment using mass spectrometry. The study reveals the impact of lipids on rhodopsin signaling and regeneration, demonstrating potential new targets for therapeutic value in the visual system.
A breakthrough discovery has identified a novel approach to tackle metabolic diseases by inhibiting a liver enzyme that regulates appetite and energy expenditure. The treatment, which stabilizes key proteins in the blood, resulted in significant weight loss and improved insulin sensitivity in obese mice.
A new deep learning-based model called Highlights on Target Sequences (HoTS) predicts binding between drugs and target molecules, providing interpretable results. The model can predict target proteins' binding regions and interactions with drugs without a 3D complex.
Researchers have identified formononetin as a potential therapeutic for treating food allergies, which affect nearly 10% of the world population. The plant compound has been shown to decrease IgE production and influence gene and protein targets regulated in food allergy and mast cell diseases.
Scientists have discovered a shapeshifting volcano virus with remarkable properties that let it alter its shape. This finding could lead to new ways to deliver drugs and vaccines, with implications for understanding how viruses evolved and potentially creating new technologies.
Researchers at Insilico Medicine have used AI to identify potential targets that are implicated in multiple age-related diseases and also play a role in the basic biology of aging. The study resulted in the identification of 69 high-confidence targets with potential high druggability.
Researchers developed an AI-driven image analysis pipeline that identified novel cellular hallmarks of Parkinson's disease from images of over a million skin cells. The platform can distinguish between patient cells and healthy controls, revealing new signatures for potential therapeutic targets.
The Experimental Biology (EB) 2022 meeting features live presentations and a moderated Q&A session on groundbreaking studies. The virtual press conference reveals potential treatments for Parkinson's disease, COVID-19 vaccine-associated side effects, and alleviating food allergies.
Researchers develop an eco-friendly organic catalyst system that improves the production of organic molecules from pyruvate, a key biomolecule in metabolic pathways. The catalyst promotes reactions where pyruvate donates electrons to produce molecules like amino acids.
A new study from the University of Copenhagen suggests that the poison from the sea snail species Conus rolani can function as a painkiller, blocking out pain in mice for an even longer time than morphine. This discovery offers a potential alternative to addictive painkillers like morphine and opioids.