Articles tagged with Drug Discovery
A team of researchers at MSU used machine learning to predict how chemicals will influence gene expression, leading to the discovery of promising compounds for the treatment of liver cancer and a chronic lung disease. The study results from years of interdisciplinary work across multiple disciplines and institutes.
A new clinical trial will investigate whether adding the oral medication vorasidenib to standard chemotherapy improves progression-free survival for people with newly-diagnosed, grade 3 IDH-mutant astrocytoma. The study aims to recruit 400 individuals with this type of brain cancer and evaluate the safety and side-effect profile of the...
Jeonbuk National University researchers have developed DDINet, a lightweight and scalable model that can accurately predict drug-drug interactions for new, unseen drugs. This approach avoids overfitting to training data and is designed to handle binary and multi-classification tasks.
Researchers developed a machine-learning system that predicts how molecules form, cutting lab work time from months to days and reducing costs. The system uses asymmetric cross-coupling reactions to build complex compounds and can be applied across fields, deepening our understanding of chemistry.
The Alliance for Clinical Trials in Oncology is spotlighting new trials for colorectal cancer in March, focusing on early detection methods and treatments for treatment delays and loss of appetite. The trials aim to improve patient outcomes, with several enrolling patients with newly diagnosed colon or rectal cancer.
Researchers at Goethe University are developing non-hormonal contraceptives to address declining pill use and side effects. The PREVENT project aims to create safe and effective alternatives, focusing on small molecules that block proteins in sperm or egg cells.
Researchers from MedUni Vienna have developed a new approach to drug discovery by targeting intracellular signalling proteins, such as β-arrestins, to control disease-relevant signalling pathways. This approach holds promise for personalized therapies, particularly for the treatment of neurological diseases.
Researchers have developed a bacterial system to create millions of potential drug molecules that can target difficult-to-treat cancers. The approach combines chemical peptide stabilisation with the TBS assay to screen for effective peptides, which can then be tested in more complex tissue models and animal studies.
Researchers at Osaka Metropolitan University found that targeting the glutamine transporter ASCT2 can suppress cell growth and induce apoptosis in synovial sarcoma cells. This study suggests a new approach for treating this aggressive malignant tumor by cutting off its nutrient supply.
Researchers developed a novel method to immobilize proteins onto magnetic microbeads, allowing precise measurement of binding strength and efficient selection of target peptides. The technique achieved a 10,000-fold concentration in a single sorting step, significantly enhancing the efficiency of drug discovery research.
A new study finds that a novel GLP-1 receptor agonist, Exendin-4-Phe (Ex-Phe-1), preserves glycemic control while reducing malaise and vomiting behaviors in preclinical models. The compound uses biased agonism to selectively activate certain signaling pathways, achieving desired effects without triggering others.
Researchers at Sultan Qaboos University have identified three novel antimicrobial peptides from dromedary camels that effectively target multidrug-resistant bacteria. The peptides, CdPG-3 and CdCATH, demonstrate strong antibacterial activity across Gram-positive and Gram-negative bacteria.
Researchers developed a free-to-use software tool, PSBench, to verify the accuracy of artificial intelligence-based protein structure predictions. The database includes 1.4 million annotated protein models, verified by experts, and provides reliable information for building more accurate AI systems.
MIT researchers used a large language model to optimize the genetic sequences of proteins manufactured by yeast, reducing production costs. The new model predicted which codons would work best for manufacturing six different proteins, including human growth hormone and a monoclonal antibody, with successful results.
The Global Exposome Forum is a global initiative that aims to understand the complex interplay between biological, chemical, and environmental exposures and human health. The project has partnered with national governments, scientific institutions, and large membership-led organizations to advance exposomics science.
The MIT research team has designed a new type of tissue model that accurately replicates the physiology of the liver, including blood vessels and immune cells. The model was used to study metabolic dysfunction-associated steatotic liver disease (MASLD) and showed promising results in identifying potential treatments.
A Purdue University team led by Kyle Cottrell has discovered a new therapeutic target for triple-negative breast cancer, a deadly form of breast cancer lacking targeted therapies. The researchers identified dsRNA-binding proteins, specifically PACT, which suppress another protein called RNA-activated protein kinase (PKR).
The article highlights Insilico Medicine's exclusive contributions to two chapters in the latest AI for Drug Discovery Volume, showcasing its expertise in real-life application of AI in early drug target-related tasks. The company's roadmap to 2030 using Quantum Machine Learning (QML) algorithms is also presented, with successful case ...
Researchers from Korea University report a breakthrough in reviving an abandoned depression drug target by redesigning the molecular structure of neurokinin-1 receptor antagonists. New compounds exhibiting antidepressant-like effects have been identified, reducing depressive-like behavior and brain inflammation in mice.
A Mass General Brigham study identifies new mutations that emerge in tumor cells following treatment, driving resistance in patients with different types of cancer. The researchers found two main categories of mutations: those impairing p53 function and others disrupting drug binding, highlighting a path forward for overcoming resistance.
Southwest Research Institute has upgraded its nuclear magnetic resonance (NMR) laboratory to provide robust chemical analysis of organic compounds used in drug discovery and development. The new facility enables rapid and cost-effective analysis using qNMR, which can be more efficient than HPLC for certain applications.
Researchers at University Hospitals and Case Western Reserve University have discovered a novel enzyme, SCoR2, that removes nitric oxide from proteins controlling fat build-up. Inhibition of this enzyme prevents weight gain and liver injury in mouse models, also lowering bad cholesterol.
Researchers from Tokyo University of Science developed an efficient strategy to synthesize PROTACs using a three-step click chemistry method. This approach rapidly assembles functional molecules, enabling the easy introduction of ligand components and probe functionalities.
In a new study, Northwestern scientists identified a previously unknown toxic sub-species of amyloid beta oligomers that drive brain changes in Alzheimer's disease. NU-9 decreased this toxin and reduced damage in a mouse model, suggesting it could prevent or delay the cascade of toxic events that destroy neurons.
A blood test may help doctors identify which patients with colon cancer can benefit from anti-inflammatory medication and chemotherapy after surgery. The test measures circulating tumor DNA levels, and high-risk patients who test positive see improved survival rates when taking celecoxib with chemotherapy.
A SickKids-led study reveals how bile acids can bind to block C. diff's most dangerous toxin, leading to the development of a new compound that neutralizes the toxin directly in the gut. This approach preserves gut health and targets the toxin with precision, offering hope for safer treatments.
Researchers developed a novel magnetic biosensing technique using polydopamine-coated magnetoliposomes to monitor lectin-glycan binding. The technique provides insight into the dynamics of sugar-protein interactions and holds promise for medical diagnostics, glycoscience research, and drug discovery.
Researchers at Martin Luther University Halle-Wittenberg have developed a promising new substance that inhibits the ability of tuberculosis bacteria to produce energy and causes them to die. The compound, PRP020, targets the pathogen's ATP synthase but attacks a different site than existing drugs like bedaquiline.
Intellicule will utilize state-of-the-art deep-learning techniques to expand structural modeling and analysis for cryo-EM data. The company aims to overcome current limitations in biomolecular modeling, enabling the detection of atoms in low-resolution images.
The Jackson Laboratory's CARDIOVERSE project uses AI, stem cells, and genetic variation to predict drug safety before human trials. The initiative aims to reduce cardiotoxicity and improve patient stratification in clinical trials.
Insilico Medicine will demonstrate how generative AI is accelerating therapeutic discovery, improving drug efficacy, and advancing personalized medicine. The company's pharma superintelligence platform aims to tackle challenging problems in modern science and medicine.
Biomedical researchers recommend diversifying funding sources, pursuing earlier licensing and commercialization, and fostering international collaborations. The US drug discovery landscape is at risk due to federal funding cuts, and alternative approaches are needed to ensure continued progress.
Researchers at the University of Virginia Health System have developed a new treatment for acute myeloid leukemia, a deadly form of blood cancer. The FDA-approved medication works by disrupting cellular protein interactions that drive leukemia cell growth and survival, offering patients a potential cure.
The article highlights the mismatch between psychedelics and economic drug development principles. Pharmaceutical companies are developing short-acting compounds and neuroplastogens to engineer trips out of the experience altogether. Dr. Sandy Hager's research suggests investors should remain cautious due to weak intellectual property ...
A new computational tool called DeepTarget predicts direct and indirect targets of cancer drugs, revealing that small molecules can have different targets and effects depending on the disease and cell type. The study demonstrates the tool's superior performance in real-world scenarios, highlighting its potential to accelerate drug deve...
Researchers identified TCF/LEF proteins as key regulators of the canonical Wnt pathway, which governs transcription in cancer and fibrotic diseases. The study reveals potential therapeutic targets for treating diverse diseases while avoiding toxicity associated with upstream Wnt inhibition.
Researchers found that selective enrichment of adhesion proteins like fibronectin and vitronectin maximizes optimal cell adhesion on plastic surfaces. The optimal UVO treatment time creates a mix of hydrophilic and hydrophobic regions, promoting attachment protein replacement and secure cell binding.
Researchers discover tiny antibody-like proteins from camels and llamas that can treat brain disorders like schizophrenia and Alzheimer’s disease with fewer side effects. The nanobodies are smaller than conventional antibodies, making them easier to produce and purify.
A new broad-spectrum antivenom developed by DTU researchers covers 17 African snake species and provides better protection against tissue damage, with a lower risk of immune reactions. The antivenom has shown impressive results in laboratory studies and could revolutionize the treatment of venomous snakebites in Africa.
The Mays Cancer Center stands among the nation's leading institutions recognized for excellence in cancer care and research. It is one of only four NCI-designated Cancer Centers in Texas, offering specialized programs and delivering comprehensive, multidisciplinary care supported by clinical research.
Researchers from The University of Osaka and The University of Tokyo have developed a novel technology that visualizes specific molecules inside living cells using light. The new photo-responsive alkyne tag enables precise visualization without disrupting molecular dynamics.
The FDA has approved elinzanetant for treating hot flashes and night sweats in postmenopausal women. The drug significantly reduces the frequency and severity of symptoms while improving sleep quality and quality of life.
Researchers at Sanford Burnham Prebys discovered a new mechanism to confer signaling bias in predictable ways, permitting rational design of new drugs. This breakthrough could lead to better therapies for addiction and psychiatric disorders by targeting the neurotensin receptor 1 (NTSR1) with biased modulators.
A new large language model, LassoESM, has been developed to predict lasso peptide properties, enabling the acceleration of rational design for biomedical applications. The model was trained on thousands of lasso peptide sequences and demonstrated accurate prediction of various properties.
Dr. Benjamin P. Brown proposes a targeted approach to improve the accuracy and speed of machine learning in drug discovery. His work focuses on creating a more generalizable deep learning framework for structure-based protein-ligand affinity ranking.
A team of UNLV researchers has engineered a new class of cannabidiol (CBD)-like medicines that show powerful seizure-reducing effects. The caraway-seed derived therapies offer a safer and more effective treatment for childhood seizure disorders than existing frontline therapies.
The Critical Path Institute has been recognized for its innovative approaches to regulatory science, which have measurably improved public health. The organization's work in creating practical tools and cross-sector collaborations has shortened drug development timelines and improved regulatory decisions.
The study identified chemical compounds that precisely block the interaction between RAS and a key pathway for tumour growth. The treatment has entered its first clinical trial in humans and has shown promising results, with potential to treat many different types of cancers while avoiding effects on healthy cells.
Researchers at the University of Bath develop a peptide fragment that locks alpha-synuclein into its healthy shape, blocking toxic clumps that cause nerve cell death. The breakthrough demonstrates the potential of rational peptide design to transform large proteins into compact drug-like molecules.
Pharma.AI is a comprehensive generative AI-powered drug discovery platform featuring PandaOmics, Generative Biologics, Chemistry42, Science42: DORA, and PreciousGPT. These platforms enhance target and biomarker discovery, biologics engineering, small molecule design, scientific research, and disease modelling.
Researchers identified citronellyl butyrate and other compounds with high binding affinity to DPP-4, suggesting strong inhibitory potential. The compounds' favorable pharmacokinetic properties, such as high absorption and blood-brain barrier permeability, make them promising candidates for antidiabetic treatments.
Researchers identify three primary UPR pathways and their downstream cascades, which play a crucial role in the differentiation of osteoblasts and osteoclasts. Targeting these pathways with emerging drugs may alleviate bone-related events and kill tumors localized in bones.
A new study finds that over 50% of small-molecule drug patents this century are connected to NIH-backed research that would likely be cut under a 40% budget reduction. This highlights the significant impact of federally funded research on the development of life-changing medicines.
The NF-κB signaling pathway plays a key role in regulating immune responses, inflammation, cell development, and proliferation. Research into its functions and mechanisms continues to uncover new breakthroughs in immunology and life sciences.
Researchers discovered onnamides, a family of compounds from Okinawan marine sponges, showing remarkable potential against Leishmania major. These compounds demonstrate potency and safety exceeding current treatments, offering new approaches to overcome drug resistance.
The USC team is developing a new drug aimed at a previously unexplored biological target in Alzheimer’s disease, focusing on a trigger of brain inflammation. They have identified an enzyme that predisposes the brain to inflammation and are now working to find a drug that can block it without harmful side effects.
A large international clinical trial found that elinzanetant significantly reduces hot flashes and night sweats in postmenopausal women by over 73%. The drug also shows secondary benefits such as improved quality of life and reduced sleep disturbances, with no harmful effects on the liver or bone density.
Armida Labs will use the funding to advance preclinical studies of Targefrin, a potential clinical candidate for pancreatic and other cancers. The grant aims to develop an anti-metastatic agent that targets the EphA2 protein, which drives cancer cell invasion and metastasis.
A novel method combining biological experiments and information science techniques reveals cancer cells' preference for aerobic glycolysis despite sufficient oxygen availability. This research provides a powerful tool for identifying metabolic vulnerabilities in cancer cells, which could lead to more effective treatments.