Taming the complexity of protein folding

Protein folding is an important problem in structural biology with significant medical implications, particularly for misfolding disorders like Alzheimer's disease. Solving the folding problem will ultimately require a combination of theory and experiment, with theoretical models providing a comprehensive view of folding and experiments grounding these models in reality. Here we review progress towards this goal over the past decade, with an emphasis on recent theoretical advances that are empowering chemically detailed models of folding and the new results these technologies are providing. In particular, we discuss new insights made possible by Markov state models (MSMs), including the role of non-native contacts and the hub-like character of protein folded states.     

Calculating complexity of large randomized libraries

Randomized libraries are increasingly popular in protein engineering and other biomedical research fields. Statistics of the libraries are useful to guide and evaluate randomized library construction. Previous works only give the mean of the number of unique sequences in the library, and they can only handle equal molar ratio of the four nucleotides at a small number of mutation sites. We derive formulas to calculate the mean and variance of the number of unique sequences in libraries generated by cassette mutagenesis with mixtures of arbitrary nucleotide ratios. Computer program was developed which utilizes arbitrary numerical precision software package to calculate the statistics of large libraries. The statistics of library with mutations in more than 20 amino acids can be calculated easily. Results show that the nucleotide ratios have significant effects on these statistics. The more skewed the ratio, the larger the library size is needed to obtain the same expected number of unique sequences. The program is freely available at http://graphics.med.yale.edu/cgi-bin/lib_comp.pl.     

Taming data

A challenge in systems-level investigations of the immune response is the principled integration of disparate data sets for constructing predictive models. InnateDB (Lynn et al., 2008; http://www.innatedb.ca), a publicly available, manually curated database of experimentally verified molecular interactions and pathways involved in innate immunity, is a powerful new resource that facilitates such integrative systems-level analyses.     

Taming the Spindle for Containing the Chromosomes

Checkpoint controls are critical for coordination of cell cycle events, especially during exposure to perturbations or stresses. The DNA replication checkpoint is activated in S phase in response to replication stresses that impede fork progression. Mec1 and Rad53 are critical effectors of this control pathway; they maintain the integrity of stalled replication forks and prevent premature segregation of unreplicated chromosomes. It has long been thought that the checkpoint inhibits precocious segregation of chromosomes by preventing early onset of mitosis. However, recent evidence suggests that the replication checkpoint thwarts untimely chromosome separation not by inhibiting mitotic entry but by directly regulating spindle dynamics. These findings raise a number of issues which may require a revisit to the well-trodden territories of cell cycle regulation.