Sentences with phrase «predicted structures»

Why It Matters: To deal with today's air quality issues and minimize future problems, scientists need to accurately predict the structure and behavior of the different types of particles involved.
When University of Washington biochemist David Baker needed help predicting the structure of proteins, he did not turn to his colleagues.
In its first phase, the money was distributed between nine structural - biology research consortia, each of which would go on to produce dozens of protein structures per year — with the lofty goal of eventually predicting structures for most of the amino - acid sequences possible in nature.
Though the discovery of this layered sheet character of dense hydrogen has come as a surprise to many, chemists 30 years ago — before the discovery of graphene — predicted the structure based on simple chemical considerations.
Results: ROC analysis showed that the CBCL Delinquent Behavior and Aggressive Behavior scales predicted the structured interview derived diagnoses of conduct and bipolar disorder, the Anxious / Depressed and Aggressive Behavior scales predicted major depression, and the Anxious / Depressed and Attention problems scales predicted anxiety disorders.
But in a new study appearing in the journal Science, University of Utah chemists captured enough data on the crucial steps in a reaction to accurately predict the structures of the most efficient catalysts, those that would speed the process with the least amount of unwanted byproducts.
University of Utah chemists captured enough data on the crucial steps in a reaction to accurately predict the structures of the most efficient catalysts, those that would speed the process with the least amount of unwanted byproducts.
Because we understand the shape of orbitals we can predict the structure of chemical compounds and crystals.
The Foldit exploration puzzle game attempts to predict the structure of a protein by taking advantage of our puzzle - solving intuitions and having people play competitively to fold the best proteins.
The Rosetta program used by Lu and his colleagues can predict the structure of a protein by taking into account these interactions and calculating the lowest overall energy state.
In the new study, Lu and his coworkers used a computer program, developed in the Baker lab and called Rosetta, that can predict the structure a protein will fold into after it has been synthesized.
In 1985, biophysicist Doug Turner was working on a way to understand the thermodynamics of sequences of RNA in order to predict their structure.
As part of the study, we tried to predict the structure of an inorganic cluster.
As the theorist Robert Jaffe of the Massachusetts Institute of Technology observed: we don't try to predict the structure of a Volkswagen from first principles — but we like to think we could.
But researchers report today that they've figured out how to predict the structures of hundreds of unmapped proteins by gleaning insights from one of the strangest of places: «metagenomics» projects that sequence DNA from broad swaths of microbes in the soils and seas.
Thus, they can tell which parts of predicted structures are likely correct and which ones may be wrong.
That produced a fresh set of structural types for analysis by the Rice team's MiChroM program, a cousin of the lab's AWSEM energy landscape algorithm that predicts the structures of proteins.
In September, the NIGMS announced that it will wind down the Protein Structure Initiative (PSI), which since 2000 has received about $ 70 million per year in dedicated funds to develop ways to crystallize proteins and predict their structures.
«The holy grail of this particular problem is to say, I've written down this chemical formula for a material, and then just from the formula be able to predict its structure — a goal since the dawn of chemistry,» said Garnet K. L. Chan, the A. Barton Hepburn Professor of Theoretical Chemistry at Princeton University.
«A huge fraction of the human «proteome» remains uncharacterized, and this paper shows how chemical approaches can be used to uncover proteins of a given functionality that have eluded classification based on sequence or predicted structure,» said co-senior author Benjamin F. Cravatt, chair of TSRI's Department of Chemical Physiology.
«Our approaches are going to be useful for predicting structures and even modeling de novo, which we're working on now,» she says.
Berkeley Lab researchers used structural characterization — both X-ray crystallography and small angle X-ray scattering (SAXS)-- to show that many of the designs adopted the target oligomerization state and predicted structure.
This particular technique, with its ability to predict the structure and motion of extremely small and previously uncrystallizable molecules, could provide structural biologists with a valuable tool to analyze accurately biological function of proteins and their dysregulation in disease.
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