
For decades, researchers have built computer models of molecular interactions to predict properties of new molecules (1). These models take the form of potential functions, equations that can be used predict the molecular energy of interaction. Potential functions have very broad applications. Other than ab initio quantum mechanics-based approaches (2), all simulations studies rely on some sort of model for potential functions. Thus, the ability to improve the accuracy of potential functions would have very wide sweeping impact. In PNAS, AlQuraishi and McAdams (3) propose a new approach to this challenging and important problem and demonstrate considerable gains in accuracy with their new method.
DNA-Binding Proteins, Models, Chemical, Computer Simulation, DNA
DNA-Binding Proteins, Models, Chemical, Computer Simulation, DNA
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
