Articles tagged with Protein Design
Researchers developed an algorithm that uses physics-based protein design calculations and machine learning to generate thousands of active enzymes, achieving a tenfold increase in success rate over traditional methods. The new method, CADENZ, has the potential to transform industries by providing green alternatives for processes such ...
Researchers utilized the Chemistry42 platform to generate novel molecular structures and identified a hit molecule for CDK20, a promising target for hepatocellular carcinoma. The platform's customizable reward function and generative models enabled efficient design and optimization of molecules.
Researchers at NYU Langone Health and the University of Toronto have developed a new AI tool called ZFDesign, which enables customizable protein editing for treating genetic diseases. The tool promises to accelerate gene therapy development on a large scale, offering a potentially safer alternative to CRISPR.
Scientists developed an AI system, ProGen, that can generate artificial enzymes from scratch, working as well as those found in nature. The AI model learned aspects of evolution and was able to tune its generation for specific effects, creating proteins with unique properties.
Researchers successfully applied AlphaFold AI to an end-to-end platform, discovering a novel target and developing a potent hit molecule for liver cancer. The study demonstrates the potential of AI-powered drug discovery to accelerate treatment development.
A new study uses serial femtosecond X-ray crystallography to reveal the structure of NendoU protein at room temperature. The resulting high-resolution image shows that the protein's flexibility plays a crucial role in its functional mechanism, which is essential for designing antiviral drugs against SARS-CoV-2.
Researchers at IRB Barcelona have developed a new tool to block protein-protein interactions, a potential therapeutic approach for diseases such as prostate cancer. The synthetic molecules mimic the binding surface of proteins, offering high versatility and stability.
Researchers at Texas A&M University engineered DARPins to block the interaction between the COVID-19 virus and host cells, significantly reducing disease progression. The nasal sprays showed effectiveness against various variants, including omicron, and could provide a lower-cost therapeutic option for those at high risk.
A Rice University bioengineer has developed a noninvasive technology to measure gene expression in deep tissues, particularly in the brain. This innovation could improve the monitoring of gene therapy treating neurodegenerative disorders such as epilepsy, ALS, and Huntington's disease.
In an experiment pitting human expertise against artificial intelligence, researchers found that the computer program correctly predicted six out of nine proteins capable of self-assembly. This breakthrough suggests machine learning can complement human intuition in biotechnology research.
Researchers have developed a method that uses urea from urine to trigger the production of proteins in bacteria, replacing costly 'inducer' molecules. The new system produces similar quantities of protein as standard methods while being cheaper and easier to use, opening up new avenues for biotech industries.
Researchers use machine learning to generate beta-barrel proteins that can detect metal ions in water, a potential solution for identifying pollutants like lead in waterways. The 'deep-fake' protein is designed to be ideal for binding specific metals and creating conductance differences.
Researchers developed a new software tool called ProteinMPNN to create protein molecules more accurately and quickly than before. The team used machine learning algorithms, including AlphaFold, to generate new protein shapes and sequences, paving the way for novel vaccines, treatments, and sustainable biomaterials.
A novel 937-nm laser source has been developed for multiphoton microscopy, enabling deep tissue imaging at depths of over 600 µm with only 10 mW of power. This breakthrough technology offers a good balance between sensitivity, penetration depth, and imaging speed.
A team of researchers has designed in silico molecular probes to track the progress of a misbehaving protein linked to neurodegenerative diseases like ALS and FTD. The probes can detect TDP-43 aggregates at high resolution, paving the way for early diagnosis.
A Rutgers team designed a synthetic protein that quickly detects molecules of VX, a deadly nerve agent classified as a weapon of mass destruction. The protein can detect VX at levels a thousand times more sensitive than current technologies, with no false positives.
A research team led by Prof. Dr. Birte Höcker applied a computer-based natural language processing model to protein research, creating new proteins capable of stable folding and defined functions. The ProtGPT2 model generates proteins with differentiated structures, eliminating the need for functionalization processes.
Researchers from TU Delft constructed the smallest flow-driven motors in the world using DNA, converting energy into mechanical work. The achievement opens new perspectives for engineering active robotics at the nanoscale.
Washington University in St. Louis' Zhang lab has been awarded a $458,490 NSF grant to refine their synthetic biology platform for producing muscle fibers with improved material properties. The team plans to examine genetic changes associated with titin protein and create fibers with defined sequences to study material properties.
Scientists at Okayama University designed and tested a modified cholera toxin to study glycosylation in eukaryotic cells. They tracked the toxin's movement through organelles using bioluminescence, gaining insights into protein modification. This method may lead to new treatments for diseases caused by enzyme deficiencies.
Researchers at Johns Hopkins Medicine have probed the atomic structure of proteins, finding that wiggling and movement play a critical role in their ability to function. The study's findings may help scientists design new drugs that can modify or disrupt protein movements to alter their functions.
A novel peptide has been developed for targeted transport of molecules, including active substances and dyes, into mammalian cells. The peptide interacts with an acidic partner peptide to facilitate precise delivery.
Researchers used chemoproteomics to profile 53 HDAC drugs and found many had additional targets beyond their intended HDACs. The study identified MBLAC2 as a common off-target protein that affects extracellular vesicle accumulation.
A new artificial enzyme has successfully degraded lignin, a stubborn polymer in woody plants, offering hope for developing a new renewable energy source. The enzyme, developed by mimicking natural enzymes that break down lignin in nature, shows promise for producing valuable products from lignin.
Researchers developed an evolution-guided atomic design approach to design functional proteins, eliminating destabilizing mutations and preserving key sequences. The method uses natural backbone and sequence constraints to stabilize active sites and reduce computational complexity.
A team of scientists created a powerful new method for generating protein drugs by designing molecules that can target important proteins in the body. The research yielded candidate medicines for cancer, diabetes, infection, inflammation, and beyond, offering a paradigm shift in drug development.
A new COVID-19 vaccine developed at MIT and Beth Israel Deaconess Medical Center has shown promise in preclinical studies, eliciting a strong immune response and protecting animals against viral challenge. The vaccine can be manufactured using engineered yeast, making it an attractive option for low-cost and easy storage.
A UC Riverside-led team developed a theory and performed simulations to understand how viruses package their genetic material. The research reveals that capsid proteins are inclined to form shells around viral RNAs due to lower stress distribution, which can aid in designing nanocontainers for drug delivery.
A new mathematical framework has been created to study fitness landscapes of regulatory DNA, enabling the prediction of gene expression changes. The framework uses a neural network model trained on millions of experimental measurements to decipher the evolutionary past and future of non-coding sequences.
Researchers at the University of Washington developed an AI-designed protein that can awaken individual dormant genes by disabling chemical 'off switches'. This approach allows for safe upregulation of specific genes to affect cell activity without permanently changing the genome.
Researchers at UC San Diego have designed a flexible protein system that selectively binds to non-copper metals, overcoming universal restrictions on metal selectivity. This breakthrough paves the way for the design of novel functional proteins and metal sequestration agents with potential applications in environmental remediation and ...
A study by Arizona State University shows that certain proteins can act as efficient electrical conductors, outperforming DNA-based nanowires in conductance. The protein nanowires display better performance over long distances, enabling potential applications for medical sensing and diagnostics.
Stanford researchers have made a breakthrough in developing protein circuits that can enable cell-to-cell communication, mimicking the natural process of cells interacting with neighboring cells. The new platform, RELEASE, allows proteins to be secreted and displayed on the cell surface, enabling cells to respond to these signals.
Researchers at the University of Illinois used sonification to analyze data and teach protein folding, leading to a new discovery about protein folding mechanisms. Musicians collaborated with chemists to create audio-mapped visualizations that complemented traditional views, increasing intuition for experts.
Researchers discovered how a single mutation in an enzyme enables bacteria to evade antibiotics by using mirrored structures. This finding has implications for developing more resilient inhibitors and proactive drug designs.
USTC researchers develop a method named SCUBA for de novo protein design, employing a novel statistical learning strategy to generate protein main chain structures with high designability. This approach enables the creation of novel protein structures not observed in nature, expanding the diversity of accessible protein geometries.
Scientists at MIT have developed a screening method to study protein-protein interactions, which are crucial in understanding disease mechanisms. The researchers created a synthetic molecule that binds tightly to a protein implicated in cancer metastasis, providing a potential tool for disrupting disease-causing interactions.
Scientists have developed a fusion protein that successfully blocks replication of SARS-CoV-2 and related viruses in cell culture tests. The protein combines ACE2 with human antibody fragments, providing reliable protection against future mutations.
A team of researchers, including those from Rensselaer Polytechnic Institute and the University of Washington, have developed a neural network that can predict protein shapes with high accuracy. The network was trained on random protein sequences and generated 2,000 new proteins, many of which were successfully produced in the lab.
A team of scientists has created a neural network that can predict and generate new protein structures using deep learning. The network, trained on random protein sequences, can produce stable protein shapes with remarkable accuracy.
Scientists at Washington University in St. Louis have created a biocompatible adhesive hydrogel that can stick to various surfaces underwater, with properties similar to natural mussel foot protein and spider silk. This breakthrough has potential applications in tissue repair, particularly for tendon-bone repair.
A new protein-based vaccine design has been developed that elicits strong immune responses in mice and does not require cold storage. The technology targets antigen-presenting cells directly, potentially filling global vaccination gaps and offering a manufacturing advantage over existing COVID vaccines.
Scientists have developed a software that adds missing sugar components to protein models created with AlphaFold, enabling more accurate structural predictions. This breakthrough has the potential to revolutionize workflows in biology, allowing scientists to understand proteins and their mutations faster than ever.
Researchers developed a novel sensor that can detect SARS-CoV-2 proteins without antibodies, giving results within minutes. The technology enables rapid diagnostics for Covid-19 and future pandemics, reducing economic loss.
A team of scientists created a uniform protein nanoparticle, TIP60, with a diameter of 22 nm, which can be modified to target specific molecules. The 3D structure of TIP60 was elucidated using cryo-electron microscopy, revealing an icosahedral 60-meric structure with porous properties.
Researchers at Uppsala University have designed new antibodies that bind to both large and small aggregates of the amyloid-beta protein, potentially providing a more effective treatment for Alzheimer's disease. The new antibody format is stronger in binding to clumps and can also target smaller aggregates.
Researchers designed novel molecules that bound tightly to SARS-CoV-2's molecular scissors, inhibiting the virus's replication. The breakthrough could lead to new treatments for COVID-19.
A new Rutgers study suggests that food companies use the terms "cell-based" or "cell-cultured" when labeling seafood products made from fish cells. The study found that both terms meet FDA regulations and help consumers understand the production process, while also recognizing potential allergens.
Researchers at the University of Washington have developed RoseTTAFold, a freely available AI tool that can predict protein structures in just 10 minutes. This breakthrough accelerates research into cancer, COVID-19, and other diseases, and has already been used by over 140 independent research teams.
A team of researchers identified the design principles for creating large ideal proteins, paving the way for designing proteins with new biochemical functions. They found that while designed proteins are structurally ideal, they lack functional sites due to internal energetic frustration.
Scientists at EMBL Hamburg use X-ray beams to study artificial protein nanostructures, confirming their ability to fold into desired shapes. The findings advance understanding of synthetic origami-like protein folding for therapeutic applications.
Researchers from Chalmers University of Technology have developed an AI-based approach called ProteinGAN, which uses generative deep learning to create highly diverse protein variants with naturalistic-like physical properties. This method accelerates the rate of protein engineering, driving down development costs and enabling environm...
A team of scientists has designed and successfully folded new protein structures into membrane-bound nanoparticles, expanding the toolkit for biomolecular engineering. These novel proteins show promise for advanced filtration and DNA sequencing techniques.
Researchers created protein-based biosensors that emit light when mixed with virus proteins or antibodies, offering a rapid diagnostic solution. The new technology shows promise for detecting COVID-19 infections without the need for genetic amplification, addressing supply chain shortages.
Researchers discovered that backbone structure is key to lab-made protein thermostability, contradicting earlier assumptions about hydrophobic core packing. This breakthrough opens doors to designing even more stable proteins for various industries.
Researchers designed a protein decoy that replicates the spike protein target interface in hACE2, allowing it to neutralize SARS-CoV-2 infection in human cells. The decoy protected Syrian hamsters from lethal doses of the virus with modest weight loss.
Neoleukin Therapeutics announces a novel protein decoy NL-CVX1 that blocks SARS-CoV-2 infection in vitro. The lead molecule is shown to protect hamsters from lethal doses of the virus through intranasal administration. This development demonstrates the potential of de novo protein design technology for addressing biological problems.
Researchers developed ProteinSolver, a graph neural network that can design fully new proteins to fit specific geometric shapes. By leveraging Sudoku constraints, the algorithm generates amino-acid sequences for functional protein structures.
Researchers have designed computer-generated antiviral proteins that protect lab-grown human cells from SARS-CoV-2 infection, rivalling the protective actions of best-known neutralizing antibodies. The most potent candidate, LCB1, is six times more effective on a per mass basis than reported monoclonal antibodies.
A team of researchers at the University of Chicago has developed an AI-led process to design artificial proteins using big data and machine learning models. The breakthrough reveals relatively simple design rules for building artificial proteins, which performed chemistries rivalling those found in nature.