Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …

Accurate protein structure prediction using computational methods remains a challenge in
molecular biology. Recent advances in AI-powered algorithms provide a transformative …

Using tools developed to study the dynamic bioinformatics of proteins, we are able to study
the dynamic characteristics of very large numbers of protein sequences simultaneously. We …

At the very deepest molecular level, the mechanisms of life depend on the operation of
proteins, the so-called “workhorses” of the cell. Proteins are nanoscale machines that …

Understanding protein sequences and how they relate to the functions of proteins is
extremely important. One of the most basic operations in bioinformatics is sequence …

The problem of finding the longest common subsequence (MLCS) for multiple sequences is
a computationally intensive and challenging problem that has significant applications in …

The amino acid sequence determines the structure, function, and dynamics of a protein. In
recent years, enormous progress has been made in translating sequence information into …

Protein function prediction is a critical goal in bioinformatics, playing a central role in
understanding biological processes and advancing applications such as drug discovery and …