Background Protein remote homology detection is a central problem in computational
biology. Most recent methods train support vector machines to discriminate between related …

The development of peptides for therapeutic targets or biomarkers for disease diagnosis is a
challenging task in protein engineering. Current approaches are tedious, often time …

Protein engineers conventionally use tools such as Directed Evolution to find new proteins
with better functionalities and traits. More recently, computational techniques and especially …

A challenging problem in molecular biology is the identification of the specific binding sites
of transcription factors in the promoter regions of genes referred to as motifs. This paper …

We apply a genetic programming approach to learning of glycan motifs by using tag tree
patterns and various fitness functions. Tag tree patterns obtained from some glycan data …

In this paper we have provided an extensive survey of the databases and other resources
related to the current research in bioinformatics and the issues that confront the database …

GUI testing is often a human executed and expensive process. Thus, a lot of directions are
explored in order to automate it. One of those directions is using completely automated tools …

Background The development of peptides for therapeutic targets or biomarkers for disease
diagnosis is a challenging task in protein engineering. Current approaches are tedious …

Motifs are useful in biology to highlight the nucleotides/amino-acids that are involved in
structure, function, regulation and evolution, or to infer homology between genes/proteins …

We propose a context-aware fitness function based on feature selection for evolutionary
learning of characteristic graph patterns. The proposed fitness function estimates the fitness …