Rapid advancements in the post-genomic era along with the introduction of novel sequencing technologies provided an even platform for the researchers around the world to sequence new protein and nucleotide sequences in a faster and efficient manner. April 16, 2014 release of UniProtKB database reports about 544996 protein sequence entries for SwissProt unmatched with the way the structures of p...

The main purpose of this paper is to present application of hybrid (i.e. combined physical and in silico) modeling and nonlinear (fractal) biosignal analysis for improving quality of life through modeling and knowledgebased measurements in medicine.

Predicting the virulence of new Influenza strains is an important problem. The solution to this problem will likely require a combination of in vitro and in silico tools that are used iteratively. We describe the agent-based modeling component of this program and report preliminary results from both the in vitro and in silico experiments.

Background: The modeling of Biological Regulatory Networks (BRNs) relies on background knowledge, deriving either from literature and/or the analysis of biological observations. However, with the development of high-throughput data, there is a growing need for methods that automatically generate admissible models. Methods: Our research aim is to provide a logical approach to infer BRNs based on...

Modeling and simulation in pharmacokinetics has has turned into the focus of pharmaceutical companies, driven by the emerging consensus that in silico predictions combined with in vitro data have the potential of significantly increasing insight into pharmacokinetic processes. To adequately support in silico methodology, software tools need to be user-friendly and, at the same time, flexible. I...