Theoretical ideas have a rich history in many areas of biology, and new theories and mathematical models have much to offer in the future.

With mathematical modeling being an important source of insight for microbial communities, we may need to move beyond commonly-used pairwise models that do not capture microbial interactions.

A systematic comparison of experimentally measured and theoretically predicted magnitudes of organelle abundance fluctuations suggests that budding yeast produces the maximum level of variability in organelle abundance that can be generated by organelle biogenesis pathways.

A multidisciplinary approach was used to translate the mathematical analysis of Dystrophin movements inside muscle cells into the biology of how Dystrophin interacts with the cell membrane.

Modeling all the chemical reactions that take place in a minimal cell will help us to understand the fundamental interactions that power life.

A study that models the evolution of drug resistance in tumors reveals that drugs are more effective when given in combination than sequentially, and that cure is much more likely when the drugs target different pathways.

Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.

Scientists should be aware of the non-empirical assumptions that influence all kinds of research.

An analysis of review, promotion and tenure documents from 129 US and Canadian universities suggests institutions could better fulfill their public missions by changing how they incentivize the public dimensions of faculty work.