Proteins are nature's primary building blocks for the construction of sophisticated molecular
machines and dynamic materials, ranging from protein complexes such as photosystem II …

Aromatic peptide amphiphiles are gaining popularity as building blocks for the bottom-up
fabrication of nanomaterials, including gels. These materials combine the simplicity of small …

Recently a new method called the self-optimized prediction method (SOPM) has been
described to improve the success rate in the prediction of the secondary structure of …

We have developed an automatic algorithm STRIDE for protein secondary structure
assignment from atomic coordinates based on the combined use of hydrogen bond energy …

A protein is usually classified into one of the following five structural classes: α, β, α+ β, α/β,
and ζ (irregular). The structural class of a protein is correlated with its amino acid …

Bacterial infections, especially the refractory treatment of drug-resistant bacteria, are one of
the greatest threats to human health. During the past decades, biomedical nanomaterials …

Motivation: Homology or comparative modeling is currently the most accurate method to
predict the three-dimensional structure of proteins. It generally consists in four steps:(1) …

Histidine kinases allow bacteria, plants, and fungi to sense and respond to their
environment. The 2.6 Å resolution crystal structure of Thermotoga maritima CheA (290-671) …

Predicting function from sequence using computational tools is a highly complicated
procedure that is generally done for each gene individually. This review focuses on the …

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