Articles tagged with Protein Design
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.
Researchers designed millions of protein therapeutics targeting SARS-CoV-2, with over 2,000 showing binding signals. The approach has shown promise in identifying highly promising leads for the spike protein binder.
Researchers at EPFL have developed an algorithm to design artificial proteins that precisely guide the body's immune system to produce specific antibodies. The proteins were tested in animal models, triggering a strong immune response against respiratory syncytial virus (RSV), a leading cause of serious lung infections.
Researchers created a new computational protein design approach called Topobuilder to engineer de novo immunogens with complex epitopes. The approach successfully generated a robust immune response against RSV in mouse and non-human primate models.
A team of researchers from the University of Washington School Medicine has created artificial proteins that function as molecular logic gates, allowing for the programming of complex biological systems. This breakthrough has implications for future medicines and synthetic biology, particularly in the development of cell-based therapies.
Researchers use machine learning to translate protein structures into musical scores, generating new proteins with unique properties. The method has the potential to design entirely new biomaterials and improve existing enzymes.
Researchers developed a process that reduces computational protein design work by using 3D structural models to project novel combinations of molecular blocks. This approach could ease the development of new medications and materials.
Researchers are now designing new proteins from scratch with specific functions using computational methods, enabling the creation of novel structures and properties. This breakthrough has significant implications for fields such as vaccine design, targeted drug delivery, and 'smart' therapeutics.
Researchers develop computational method to predict and design allosteric functions in proteins, enabling the creation of novel signaling receptors with precise functions. They successfully designed and repurposed a dopamine receptor into a serotonin biosensor, demonstrating the potential for this approach in personalized medicine.
A research team developed a new machine learning approach called UniRep to predict protein functions and identify optimal amino acid sequences. The method was trained on 24 million protein sequences and accurately predicted features such as protein stability and secondary structure.
Researchers develop LOCKR, a dynamic designer protein that can modify gene expression, redirect cellular traffic, and control protein binding interactions. This breakthrough technology has the potential to revolutionize synthetic biology and enable new therapies for diseases such as cancer and autoimmune disorders.
Researchers engineered artificial proteins to self-assemble on a crystal surface, creating new biomolecules with customized colors, chemical reactivity or mechanical properties. The design enables the creation of novel materials and filters, such as tiny sensors and electronic circuits.
A team of researchers collaborated with Foldit players to design synthetic proteins, with 56 of the designed proteins found to be stable. The designs were able to adopt their intended structures, suggesting that the gamers had produced realistic proteins.
Researchers created synthetic proteins that change shape in response to pH changes, moving as intended and disrupting lipid membranes. This technology could help medication enter cells more effectively, potentially rivaling viral delivery systems without drawbacks.
Researchers develop a method for predicting protein functions using amino acid sequences, eliminating the need for structural data. This breakthrough enables better protein engineering and design, with potential applications in drug development and biological research.
Researchers discovered a new class of complex folding molecules that form spontaneously without evolution or design. The molecules' unique structure suggests that complexity can emerge on its own, potentially revolutionizing our understanding of molecular folding and the origin of life.
Researchers create new protein Neo-2/15 that stimulates cancer-fighting T-cells without triggering harmful side effects. The protein has therapeutic properties similar to naturally occurring IL-2 but is computationally designed to be less toxic.
Researchers have designed proteins that zip together like DNA molecules, paving the way for protein nanomachines and precise cell engineering. This technique enables the design of machines that can diagnose and treat disease, engineer cells, and perform various tasks.
Researchers designed proteins that snap together spontaneously to form long, helical structures, mimicking natural protein filaments. The creation of these self-assembling filaments could lead to the development of new materials, including fibers stronger than spider silk and nano-scale wire circuitry.
Researchers at the University of Washington School of Medicine have successfully created a novel, de novo-designed beta-barrel protein that can bind to specific small molecules. The achievement paves the way for custom-designed proteins with precise affinity and functionality.
Scientists have developed the first synthetic protein assemblies that encapsulate their own genetic materials and evolve new traits in complex environments. These assemblies are computationally designed and can package RNA with improved efficiency, resist degradation, and increase circulation time in living mice.
Researchers at the University of Leeds have created an alternative pathway for peroxisome organelles to import proteins, leading to the development of 'designer organelles'. These custom compartments could be used as biofactories for producing therapeutic proteins or other useful molecules.
Scientists from University of Washington and University of Toronto have developed new high-throughput approach to test folding stability of thousands of computationally designed proteins. This study led to the design of 2,788 stable protein structures with potential bioengineering and synthetic biology applications.
The game, developed by Imperial College London researchers, challenges players to dock molecules into proteins while learning about the science. The 3D version, BioBlox3D, aims to crowdsource protein docking problems through citizen science challenges.
The article discusses protein engineering techniques used in synthetic biology, including rational design, de novo design, directed evolution, and combinatorial approaches. These methods have been widely adopted in the biomedical and biotechnological sectors, with recent patents obtained using engineered proteins.
Researchers have created a virus-like delivery system that can transport custom cargo from one cell to another, using blueprints that instruct human cells to assemble the system. The system uses self-propelled nanocages that mimic how viruses transfer their infectious contents between cells.
Researchers created ten large, two-component protein complexes with icosahedral symmetry, capable of encapsulating materials and self-assembling at the atomic level. The structures can be genetically modified to serve as biomolecular machines for drug delivery, vaccines, and bioenergy applications.
Researchers designed and built large protein icosahedra with potential applications in targeted drug delivery and vaccine development. The structures were created using computational and biochemical approaches, allowing for the design of complex structures from scratch.
Researchers have designed a self-assembling icosahedral protein nano-cage with a large internal volume, capable of holding more cargo than previously designed nano-cages. The cage's reversible property allows it to disassemble and reassemble under certain conditions.
Researchers at UNC School of Medicine develop a method called SEWING that stitches together pieces of existing proteins to create novel proteins with diverse structural features. This approach enables designing proteins with specific functions, such as catalysts, biosensors, and therapeutics.
Scientists have developed a method to infer protein folding landscapes directly from experimental data, providing new insights into the structure-function relationship. This breakthrough uses nonlinear machine learning and statistical thermodynamics to reconstruct the folding funnels of proteins.
The plenary talks will illustrate the wide variety of applications for computers in science, including developing potent anti-HIV agents and creating new proteins. The presentations will also discuss recent advances in free energy perturbation theory.
Scientists have developed a method to engineer custom biosensor proteins that can precisely sense specific molecules, expanding the variety of biosensor designs. The approach combines computational protein design, in vitro synthesis, and in vivo testing to identify tailored biosensors.
Researchers have made significant breakthroughs in protein structure prediction and design, enabling the creation of new proteins with unprecedented accuracy. By leveraging computational design and collaborative efforts, scientists can now devise amino acid sequences that fold into novel structures, far surpassing what is predicted to ...
The researchers created a protein that can withstand various physiological and environmental conditions, allowing for more stable and effective treatments. This breakthrough could lead to advancements in biosensors and personalized therapeutics.
A Caltech team has successfully created synthetic structures made of both protein and DNA, opening up numerous applications. The hybrid material combines the versatility of proteins and the programmability of DNA, enabling new possibilities for medical treatments and industrial applications.
Researchers observed genome-editing proteins using a combination of sliding and hopping to navigate the vast genome. The discovery provides insight into how these proteins can be engineered for improved efficiency and reduced off-target binding, potentially leading to more effective gene therapies.
This year's winners are Dr. C. Robert Matthews, Dr. Eva Nogales, Dr. Marina Rodnina, Dr. Sachdev Sidhu, and Dr. Anna Mapp. They were honored for their groundbreaking research in protein folding mechanisms, structural biology, protein synthesis, engineering, and chemical biology.
The Dartmouth team created a systematic testing platform to analyze deimmunized protein design space. Their analysis revealed that experimentally measured molecular fitness mapped closely onto the computational design space for 18 deimmunized drug candidates, demonstrating potential to predict and design tradeoffs between immunogenicit...
Researchers created an artificial transporter protein, Rocker, that carries individual atoms across membranes, opening new possibilities for smart molecules. The discovery demonstrates the design of complex functions rivaling those of natural molecular machines.
Researchers design manmade proteins with new structures, including central cavities, to enhance biological functions and create novel molecules. The discovery is part of the growing field of synthetic biology at the University of Bristol.
A computer-designed protein, BINDI, was engineered to trigger self-destruction of Epstein-Barr-infected cancer cells. It suppressed tumor growth and enabled mice with EBV-positive lymphoma to live longer.
Researchers at the University of Chicago have developed a new technique to simplify the study of protein networks and identify individual interactions. By introducing synthetic proteins into cells, they revealed a key interaction between Grb2 and Ptpn11/Shp2 phosphatase that regulates embryonic stem cell differentiation.
Researchers develop new computational method to design novel protein nanostructures, including cage-like proteins with symmetrical architectures. These structures may be used to deliver cancer drugs directly to tumor cells, sparing healthy cells.
The University of Washington is receiving a $31.2 million gift from Washington Research Foundation to fund four interdisciplinary initiatives that tackle crucial challenges in global innovation. The funding will boost the UW's research contribution, attract top postdoctoral researchers, and encourage spinout companies.
Researchers have made a significant discovery that could lead to the development of an effective RSV vaccine, a major cause of infant mortality worldwide. The team designed artificial proteins capable of stimulating an immune response against RSV using a new software app.
Researchers at Scripps Research Institute developed a new method to design artificial proteins that can stimulate the production of virus-neutralizing antibodies. The approach was tested on a candidate vaccine against respiratory syncytial virus (RSV), showing promise in rhesus macaques.
Researchers at the University of Copenhagen have created 22 semi-synthetic designer proteins that can regulate specific biochemical tasks. The discovery provides unique molecular understanding of protein interactions, which could lead to more effective pharmaceuticals targeting stroke, pain, and depression.
Researchers have created a protein molecule that can be programmed to unite with three different steroids, opening up possibilities for biosensors, molecular sponges, and synthetic biology. The breakthrough could lead to detection of biomolecules in early-stage cancer and treatment of overdoses.
Researchers at the Salk Institute have developed a new tool for protein engineering by adding strong, unbreakable bonds between two points in a protein or between two proteins. This technique enables the design of novel drugs, imaging agents, and molecules that aid basic research.
The study demonstrates that EBI-005 binds to its target, IL-1R1, 85-fold more tightly than IL-Ra, providing a 100-fold increase in potency in vivo. Additionally, EBI-005 has been shown to be more thermally stable than IL-1Ra, indicating potential for a room temperature-stable product.
Researchers develop principles to generate ideal protein structures by consistently favoring specific folding patterns. This allows for the creation of robust and stable building blocks for engineered functional proteins, which could be useful in drug development, vaccine creation, and industrial applications.