Articles tagged with Protein Design
Researchers used AlphaFold2 to predict structural effects of mutations on protein stability, finding correlations between small structural changes and stability changes. This breakthrough opens up new possibilities for protein engineering, enabling scientists to design proteins with specific functions more effectively.
Researchers have developed novel photoacoustic probes for neuroscience applications, enabling visualization of neurons in specific brain regions. The probes use a combination of protein and synthetic dye to bind to chemicals and emit sound waves that can be detected by imaging equipment.
Scientists improve stability and bioavailability of mRNA nanocarriers using triphenylphosphonium, leading to increased protein production in tumor tissues. The TPP-based system also shows higher mRNA levels in blood after 30 minutes compared to amine-based micelles.
Researchers have successfully designed transmembrane β-barrel pores with custom shapes and properties, enabling miniaturization of sensing and sequencing applications into portable devices. The design method uses computational tools to control the shape and chemistry on a molecular level, resulting in stable and quiet signal generation.
Researchers at Northwestern University developed a method to load therapeutic cargo into extracellular vesicles, effectively delivering engineered proteins to specific diseased cells. This approach could enable more effective and affordable biological medicines for diseases like immunotherapy and regenerative medicine.
Researchers at EPFL have created a deep learning pipeline to design soluble analogues of cell membrane proteins, making them easier to study and use in pharmaceutical development. The approach has shown remarkable success in producing functional proteins that maintain parts of their native functionality.
Scientists designed ring-shaped proteins targeting growth factor receptors to control human stem cell development. The resulting vascular networks formed tubes, healed, and absorbed nutrients, offering a new approach to repairing damaged hearts and kidneys.
Dr. Alice Walker will investigate the design of fluorescent protein sensors using computer simulations, which may aid in tracking diseases and monitoring treatment effectiveness in living cells and organisms. The five-year $690,816 grant also supports undergraduate research opportunities for WSU students.
Researchers highlight strategies for improving agriculture with nanotechnology, including targeted delivery of pesticides and herbicides, and digital twin simulations. These approaches aim to reduce environmental pollution and increase crop resilience.
Researchers have designed a method to 'cloak' proteins for targeted delivery into cells, utilizing lipid nanoparticles. The cloaked proteins can be captured by the nanoparticles and exert their therapeutic effect once inside the cell. This approach shows promise for repurposing antibodies and other proteins for cancer treatment.
Scientists have developed a new approach to designing materials with useful electronic and optical properties. By stacking antiaromatic units using van der Waals interactions, researchers created highly conductive liquid crystals. This breakthrough could lead to advances in organic electronics, optoelectronics, and sensing devices.
Nach0 was trained on diverse tasks, including natural language understanding, synthetic route prediction, and molecular generation. The model performed well on molecular tasks using molecular data and outperformed ChatGPT, making it a significant step toward unlocking the full potential of LLMs for drug discovery.
A team of scientists at the University of Ottawa has developed a novel peptide-based hydrogel that can be used for on-the-spot repair to damaged organs and tissues. The material shows great potential for closing skin wounds, delivering therapeutics to damaged heart muscle, and reshaping and healing injured corneas.
Scientists from OIST created synthetic droplets to mimic biological processes, finding that pH gradients facilitate Marangoni effect and enabling droplets to detect and migrate towards each other. This study sheds light on the movement of simplest forms of life in primordial soup billions of years ago.
Researchers developed a new experimental strategy to tackle scarring and fibrosis by releasing enough collagen to prevent tissue damage while protecting it from excessive amounts. The strategy, which uses molecules known as peptides to block the export of collagen from cells, shows promise in treating conditions such as scleroderma.
Researchers at Insilico Medicine have developed a novel PTPN2/N1 inhibitor with improved oral absorption and robust antitumor efficacy using the company's generative AI engine. The new compound demonstrates enhanced biological activities compared to existing inhibitors, offering new treatment possibilities for cancer patients.
Researchers at Insilico Medicine developed QFASG, a quantum-assisted algorithm generating novel small-molecule structures from fragments. The tool successfully designed inhibitors for cancer-related proteins, showcasing its potential in accelerating drug discovery and development.
A novel bioengineered protein has been designed to bind to the spike proteins of SARS-CoV-2, with a hydrophobic pore enabling it to capture small molecules like Ritonavir. The study marks a significant advancement in COVID-19 treatment, showcasing a promising strategy for direct virus targeting.
Researchers have designed a candidate drug to target the K-Ras G12D mutation, responsible for nearly half of all pancreatic cancer cases. The molecule permanently modifies the mutation, stopping tumor growth in cancer cell lines and animal models.
A team of scientists from SFU has created a synthetic protein-based motor that harnesses biological reactions to propel itself, called 'The Lawnmower'. The device uses the digestive enzyme trypsin to cut peptides and convert them into energy, enabling self-guided motion.
Researchers at UCLA Health Jonsson Comprehensive Cancer Center have identified the protein TYRP1 as a promising target for CAR T-cell therapy. The study demonstrates potent antitumor responses against cutaneous and rare melanoma types, offering new hope for treating these challenging-to-treat cancers.
Scientists develop a new class of hydrogels that can concentrate proteins within cells, mimicking natural sequestering phenomena. The hydrogels, designed using computers, exhibit similar mechanical properties both inside and outside of cells.
Researchers designed a synthetic antigen with high expression levels and stability, offering potential for quick adaptation to new variants. The vaccine candidate triggered strong immune response in animal models and showed enhanced protective efficacy.
A team of researchers created five unique all-α protein structures with non-uniformly arranged α-helices, holding immense potential for designing functional proteins. The novel approach enables the generation of a diverse set of all-α protein structures by combining typical motifs and canonical α-helices.
Researchers have developed nanodrones that target and eliminate cancer cells by recruiting natural killer cells to tumor sites. The study offers a potential solution for intractable types of cancers, with promising results in suppressing tumor growth without causing side effects.
Scientists at the University of Washington School of Medicine developed a novel protein design approach using AI, creating proteins that bind to challenging biomarkers with exceptionally high affinity and specificity. The breakthrough has implications for drug development, disease diagnosis, and environmental monitoring.
A long-acting biologic with transmucosal transport properties has been developed to block cellular infection of all SARS-CoV-2 variants. The biologic utilizes a soluble recombinant human ACE2 protein fused to an engineered human albumin variant, offering improved pharmacokinetic properties and delivery across selective barriers.
Researchers at Texas A&M University have developed a miniature, injectable glucose biosensor and wearable device that enables user-friendly, minimally-invasive continuous glucose monitoring. The device addresses challenges associated with existing CGMs, including size and skin tone compatibility.
Researchers from BSC and CSIC have developed an artificial protein capable of degrading PET micro- and nanoplastics with efficiency between 5 and 10 times higher than current PETases. The protein can be used as filters to purify or recycle plastics, offering a potential solution to environmental pollution.
A research team has developed a technology that selectively targets and eliminates aging cells, contributing to various inflammatory conditions. This approach represents a new paradigm for treating age-related diseases with minimal toxicity concerns.
A new study published in eLife reveals the folding speed limit of helical membrane proteins using a robust single-molecule tweezer method. The findings provide unprecedented insights into structural states, kinetics, and energy barrier properties, offering valuable guidance for advancing pharmaceutical research and design.
Researchers have developed a novel neural network approach to design brand new proteins with unique arrangements and dynamic functionalities. The method combines attention neural networks with graph neural networks to predict existing protein properties and envision new proteins that nature has not yet devised.
A Cornell research team has developed a new way to design complex microscale machines, one that draws inspiration from the operation of proteins and hummingbird beaks. The lead author is Itay Griniasty, who led the development of an algorithm to simplify the search for magnetic patterns that spur the desired bifurcation.
Researchers developed a method to design weaker transcription factors that work together to activate genes without activating naturally occurring genes. This approach, called cooperative assembly, strengthens the factors as a group but weakens them individually, ensuring targeted gene activation and long-term circuit stability.
The HeXI project has completed the Conceptual Design Review and is now proceeding with the final Technical Design for a revolutionary new instrument. This will enable highly precise structure determination of pharmaceutical molecules and study small molecules like biologics, leveraging Diamond's expertise in crystallography and MX goni...
Deep learning methods significantly improved protein design success rates by 10-fold using AI-augmented pipelines and machine learning software tools AlphaFold 2 and RoseTTA fold. The study successfully generated accurate models of protein structures, paving the way for new discoveries in fields like cancer and COVID-19 research.
Researchers at Insilico Medicine discovered novel inhibitors for salt-inducible kinase 2 (SIK2), a potential target for anti-inflammation and anti-cancer therapy. The findings were published in the July 13 edition of Bioorganic & Medicinal Chemistry, demonstrating the power of Insilico's Pharma.AI platform.
Scientists develop a method to construct crystalline artificial steric zippers in peptide β-sheets, paving the way for novel therapeutic strategies and materials. The research utilizes metal ions to prevent aggregation and form needle-shaped crystals with specific structural characteristics.
Researchers at Queensland University of Technology have developed a new approach to designing molecular ON-OFF switches based on proteins, which can be used in various biotechnological and biomedical applications. The novel technique allows for faster and more accurate diagnostic tests for detecting diseases and monitoring water quality.
Researchers developed a bioinformatic tool that selects parts of proteins to elicit strong immune responses. This approach, grounded in immunological theory, was four times more efficient than current methods, suggesting better vaccine protection against diseases.
Researchers at IISc designed a short peptide that targets topoisomerases in disease-causing bacteria, including antibiotic-resistant species. The peptide effectively killed bacterial cells and reduced infection in animal models, providing leads for combination therapy with existing antibiotics.
A team at Penn State has identified a protein called calcium-dependent protein kinase 32 (CPK32) that modifies the cellular machinery responsible for producing cellulose. This new understanding could inform the design of more stable, cellulose-enriched materials for biofuels and other functions.
Researchers have discovered a novel copper protein binding site that shows promise for use in magnetic resonance imaging (MRI) contrast agents, potentially leading to clearer images and improved diagnoses. The new structure displayed highly effective levels of relaxivity, equal and superior to existing Gd(III) agents used in clinical MRI.
Researchers identify at least 10,000 novel foldable αβ-folds, expanding our understanding of the protein universe. The discovery has significant implications for fields like drug development and enzyme design.
Researchers created artificial allosteric sites in protein complexes using computational design to regulate concerted functions. This breakthrough holds promise for industry, biology, medicine, and agriculture.
Researchers developed a mass spectrometry method to analyze molecular glues and assess their relative strengths. The technique enables the elucidation of mechanisms through which these molecules stabilize protein interactions.
Researchers at Ulsan National Institute of Science and Technology have made a breakthrough in creating ultra-photostable avalanching nanoparticles that can perform unlimited photoswitching. This achievement has significant implications for fields like optical probes, 3D optical memory, and super-resolution microscopy.
Researchers developed a novel hybrid protein complex by binding lysozyme to copper for enhanced reactive oxygen species (ROS) removal. The CuST@lysozyme hybrid protein showed high SOD activity and stability in biological fluids, paving the way for its therapeutic applications.
Researchers have developed a novel computational approach to design protein-peptide ligand binding complexes that can trigger complex cellular responses. The new biosensors can sense flexible compounds and provide optimal sensing of molecular signals, potentially leading to improved therapeutic applications.
Researchers at EPFL have computationally designed novel protein binders that attach seamlessly to key targets, including the SARS-CoV-2 spike protein, using deep learning-generated 'fingerprints' to characterize millions of protein fragments. This method demonstrates therapeutic potential for rapidly designing protein-based therapeutics.
Researchers have developed a system that uses generative diffusion to create new proteins, advancing the field of generative biology. The system, called ProteinSGM, learns from image representations to generate fully new proteins, which are biophysically real and functional.
Researchers developed machine-learning algorithms to generate proteins with specific structural features, enabling the creation of biologically inspired materials. The models can produce millions of new protein ideas in a few days, allowing scientists to explore unique applications.
Researchers successfully applied reinforcement learning to protein design, creating proteins with improved antibody generation and accurate nano-structures. The approach may lead to more potent vaccines and novel applications in regenerative medicine.
Researchers have built a new model to examine Usher Syndrome, a leading cause of combined deafness and blindness. The model replicates the visual problems not addressed by previous models, offering insight into strategies for designing therapeutic interventions.
A UMass Amherst food scientist is developing designer tempeh using smart fermentation, transforming soybean meal into a high-quality, protein-rich plant-based alternative. The goal is to create a scientifically-targeted approach to produce nutritious and delicious tempeh, replacing animal meat.
A team of researchers from Syracuse University has developed a tiny, nano-sized sensor that can detect protein biomarkers in a sample at single-molecule precision. The sensor is capable of identifying and quantifying specific proteins associated with various hematological malignancies and solid tumors.
Researchers develop AI-designed synthetic polymers that mimic specific functions of natural proteins, working as well as the real protein and easier to synthesize. The polymers could be a game-changer for biomedical applications, including drug delivery and photosynthesis.
A DNA designer drug restored levels of stathmin-2, a protein necessary for motor neurons to function, in both mouse and human studies. This finding could lead to clinical trials to delay paralysis in ALS patients by maintaining stathmin-2 levels.
Scientists at Universitat Autonoma de Barcelona have created spherical nanoparticles inspired by amyloid proteins that bind to the SARS-CoV2 spike protein with high affinity, preventing cell infection. The biocompatible and stable nanostructures also show great potency in blocking viral particles.
Researchers used machine-learning algorithms to design new light-emitting enzymes called luciferases that can efficiently recognize specific chemicals and emit light. This breakthrough could lead to custom enzymes for a wide range of applications in biotechnology, medicine, environmental remediation, and manufacturing.