Rational design and methods of analysis for the study of short- and long-term dynamic responses of eukaryotic networks
Dynamic response of eukaryotes provide us with a signature of their response to stress, perturbations, sustained, cyclic, or periodic variations and fluctuations, and therefore the analysis of dynamic eukaryotic networks is elemental in achieving a mechanistic understanding of cellular behavior.
Extracting mechanistic details from biomolecular simulations: The case of Watson-Crick to Hoogsteen DNA base pairing transition pathways
“Self-coalescence” of a liquid in a microstructure containing reagents can be programmed to master the dissolution profiles of picogram quantities of reagents in nanoliter volumes of solutions. This brings new options for chemistry and biosensing at the microscale.
Playing "Hide & Seek" is fun for the whole family. Not so much fun when you are trying to visualize molecules under the microscope.
We present the SMOG 2 package, which is a handy and practical tool to help with MD simulations of biomolecules. It provides a flexible interface that can adapt to a wide variety of scientific needs. Here, we provide an overview of the protocol as well as several implementation tips and examples.