Contact maps of proteins are predicted with neural network-based methods, using as input
codings of increasing complexity including evolutionary information, sequence conservation …

Nanomaterials, and especially nanoparticles, have been introduced to almost any aspect of
our lives. This has caused increasing concern as to their toxicity and adverse effects on the …

Referee: Professor Tyre C. Lanier, Food Science Department, North Carolina State
University, Raleigh, NC 27695-7624 Globular proteins are utilized in food, pharmaceutical …

While helical transmembrane (TM) region prediction tools achieve high (> 90%) success
rates for real integral membrane proteins, they produce a considerable number of false …

We predict interatomic Calpha distances by two independent data driven methods. The first
method uses statistically derived probability distributions of the pairwise distance between …

The idea of performing model combination, instead of model selection, has a long
theoretical background in statistics. However, making use of theoretical results is ordinarily …

We have developed a computational approach for the design and prediction of hydrophobic
cores that includes explicit backbone flexibility. The program consists of a two-stage …

Significant advances in our understanding of the molecular mechanisms that cause
congenital long QT syndrome (LQTS) have been made. A wide variety of experimental …

Peptides can bind challenging disease targets with high affinity and specificity, offering
enormous opportunities for addressing unmet medical needs. However, peptides' unique …

Motivation: Sampling structural models and ranking them are the two major challenges of
protein structure prediction. Traditional protein structure prediction methods generally use …