Computational Model Reveals the Importance of Transitional Dynamics of “Memory Molecule” in Memory FormationFebruary 24, 2015 9:01 am | by Glen C. Rains | Articles | Comments
The dynamics of a molecule abundant in the synapse, Ca2+/Calmodulin dependent kinase type II (CaMKII), known as the “memory molecule”, are important in memory formation. Synapses are junctions connecting neurons and there’s increasing evidence they store memory when neurons are stimulated by the environment.
Engineers have completed one of the most precise evaluations yet about the impact of a major...
Printed pastries with individually tailored nutrient levels. Ravioli that assemble themselves....
A new study finds that most climate models likely underestimate the degree of decade-to-decade...
Cancer uses a little-understood element of cell signaling to hijack the communication process and spread, according to Rice Univ. researchers. A new computational study by researchers at the Rice-based Center for Theoretical Biological Physics shows how cancer cells take advantage of the system by which cells communicate with their neighbors as they pass messages to “be like me” or “be not like me.”
Scientists have identified synthetic materials that may purify ethanol more efficiently and greatly improve the separation of long-chain hydrocarbons in petroleum refining. The results show that predictive modeling of synthetic zeolites is highly effective and can help solve some of the most challenging problems facing industries that require efficient ways to separate or catalyze materials.
Researchers at Oak Ridge National Laboratory have developed a population distribution model that provides unprecedented county-level predictions of where people will live in the U.S. in the coming decades. Initially developed to assist in the siting of new energy infrastructure, the team’s model has a broad range of implications from urban planning to climate change adaptation.
Sometimes the response to the outbreak of a disease can make things worse. The ability to anticipate when such overreactions might occur could help public health officials take steps to limit the dangers. Now a new computer model could provide a way of making such forecasts, based on a combination of data collected from hospitals, social media and other sources.
Industrial drying systems are most commonly used in process industries to remove moisture content from the materials. These systems are designed according to the required moisture removal requirement. The working principle of drying systems is purely based on evaporation of liquids from solids.
Cars that run on natural gas are touted as efficient and environmentally friendly, but getting enough gas onboard to make them practical is a hurdle. A new study led by researchers at Rice University promises to help.
Massachusetts Institute of Technology researchers have discovered a new mathematical relationship—between material thickness, temperature and electrical resistance—that appears to hold in all superconductors. The result could shed light on the nature of superconductivity and could also lead to better-engineered superconducting circuits for applications like quantum computing and ultra-low-power computing.
Cities like Miami are all too familiar with hurricane-related power outages. But a Johns Hopkins Univ. analysis finds climate change will give other major metro areas a lot to worry about in the future. Johns Hopkins engineers created a computer model to predict the increasing vulnerability of power grids in major coastal cities during hurricanes.
Biological engineers have created a new computer model that allows them to design the most complex 3-D DNA shapes ever produced, including rings, bowls and geometric structures such as icosahedrons that resemble viral particles. This design program could allow researchers to build DNA scaffolds to anchor arrays of proteins and light-sensitive molecules called chromophores that mimic the photosynthetic proteins found in plant cells.
New computer models that show how microtubules age are the first to match experimental results and help explain the dynamic processes behind an essential component of every living cell, according to Rice Univ. scientists. The results could help scientists fine-tune medications that manipulate microtubules to treat cancer and other diseases.
Farmers interested in bioenergy crops now have a resource to help them determine which kind of bioenergy crop would grow best in their regions and what kind of harvest to expect. Researchers at the Univ. of Illinois have published a study identifying yield zones for three major bioenergy crops.
Using ocean observations and a large suite of climate models, Lawrence Livermore National Laboratory (LLNL) scientists have found that long-term salinity changes have a stronger influence on regional sea level changes than previously thought.
A new discovery about the atomic structure of uranium dioxide will help scientists select the best computational model to simulate severe nuclear reactor accidents. Using the Advanced Photon Source, a team of researchers found that the atomic structure of uranium dioxide (UO2) changes significantly when it melts.
A major challenge faced by the pharmaceutical industry has been how to rationally design and select protein molecules to create effective biologic drug therapies while reducing unintended side effects—a challenge that has largely been addressed through costly guess–and–check experiments. Researchers at the Wyss Institute for Biologically Inspired Engineering at Harvard Univ. offer a new approach.
An ultra-high-resolution NASA computer model has given scientists a stunning new look at how carbon dioxide in the atmosphere travels around the globe. Plumes of carbon dioxide in the simulation swirl and shift as winds disperse the greenhouse gas away from its sources. The simulation also illustrates differences in carbon dioxide levels in the northern and southern hemispheres.
Here’s another reason to pay close attention to microbes: Current climate models probably overestimate the amount of carbon that will be released from soil into the atmosphere as global temperatures rise, according to research from Lawrence Berkeley National Laboratory. The findings are from a new computer model that explores the feedbacks between soil carbon and climate change.
From a mechanical perspective, granular materials are stuck between a rock and a fluid place, with behavior resembling neither a solid nor a liquid. Think of sand through an hourglass: As grains funnel through, they appear to flow like water, but once deposited, they form a relatively stable mound, much like a solid.
Today’s climate models predict a 50% increase in lightning strikes across the U.S. during this century as a result of warming temperatures associated with climate change. Reporting in Science, a team of climate scientists look at predictions of precipitation and cloud buoyancy in 11 different climate models and conclude that their combined effect will generate more frequent electrical discharges to the ground.
Not long ago, it would have taken several years to run a high-resolution simulation on a global climate model. But using some of the most powerful supercomputers now available, Lawrence Berkeley National Laboratory climate scientist Michael Wehner was able to complete a run in just three months. Not only were the simulations much closer to actual observations, but the high-resolution models were far better at reproducing intense storms.
A reliable way of predicting the flow of traffic could be a great convenience for commuters, as well as a significant energy-saver. Now a team of researchers from MIT, the Univ. of Notre Dame, and elsewhere has devised what they say is an effective and relatively simple formula for making such predictions.
A team led by Virginia Tech researchers studied cells found in breast and other types of connective tissue and discovered new information about cell transitions that take place during wound healing and cancer. They developed mathematical models to predict the dynamics of cell transitions, and by comparison gained new understanding of how a substance known as transforming growth factor triggers cell transformations.
Major leaks from oil and gas pipelines have led to home evacuations, explosions, millions of dollars in lawsuit payouts and valuable natural resources escaping into the air, ground and water. But scientists say they have developed a new software-based method that finds leaks even when they’re small, which could help prevent serious incidents and save money for customers and industry.
A partnership between Rensselaer Polytechnic Institute, IBM, and the FUND for Lake George has developed preliminary models of key natural processes within the watershed. A network of 12 sensor platforms including vertical profilers and tributary monitoring stations are now being deployed in Lake George and its tributaries, providing an unprecedented amount of data for researchers that will be interpreted at a new visualization laboratory.
Metabolic networks are mathematical models of every possible sequence of chemical reactions available to an organ or organism, and they’re used to design microbes for manufacturing processes or to study disease. Based on both genetic analysis and empirical study, they can take years to assemble. Unfortunately, a new analytic tool suggests that many of those models may be wrong.
Until now, researchers searching for compounds that have the potential to become a new HIV drug have been hampered by slow computers and inaccurate prediction models. Now, researchers in Denmark have developed an effective model based on quantum mechanics and molecular mechanics that has found, out of a half-million compounds, 14 of interest in just weeks.
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