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Multiscale Cross-Domain Thermochemical Knowledge-Graph.
In this paper, we develop a set of software agents which improve a knowledge-graph containing thermodynamic data of chemical species by means of quantum chemical calculations and error-canceling balanced reactions. The...
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A method for partitioning the information contained in a protein sequence between its structure and function.
Proteins employ the information stored in the genetic code and translated into their sequences to carry out well-defined functions in the cellular environment. The possibility to encode for such functions is controlled by the...
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Evolved Minimal Frustration in Multifunctional Biomolecules.
Protein folding is often viewed in terms of a funneled potential or free energy landscape. A variety of experiments now indicate the existence of multifunnel landscapes, associated with multifunctional biomolecules. Here, we...
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The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association.
In living systems proteins are typically found in crowded environments where their effective interactions strongly depend on the surrounding medium. Yet, their association and dissociation needs to be robustly controlled in...
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Energy Landscapes of Deoxyxylo- and Xylo-Nucleic Acid Octamers.
Artificial analogues of the natural nucleic acids have attracted interest as a diverse class of information storage molecules capable of self-replication. In this study, we use the computational potential energy landscape...
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A machine learning based intramolecular potential for a flexible organic molecule.
Quantum mechanical predictive modelling in chemistry and biology is often hindered by the long time scales and large system sizes required of the computational model. Here, we employ the kernel regression machine learning...
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