The recent increase in high‐throughput capacity of 'omics datasets combined with advances
and interest in machine learning (ML) have created great opportunities for systems …

Abstract Machine learning (ML) methods are used in cheminformatics processes to predict
the activity of an unknown drug and thus discover new potential antibacterial drugs. This …

Antibacterial drugs (AD) change the metabolic status of bacteria, contributing to bacterial
death. However, antibiotic resistance and the emergence of multidrug-resistant bacteria …

A metabolic pathway is a series of biological processes providing necessary molecules and
energies for an organism, which could be essential to the lives of the living organisms. Most …

Metabolic pathways can be conceptualized as the biological equivalent of a data pipeline. In
living cells, series of chemical reactions are carried out by different proteins called enzymes …

Metabolic engineering requires precise control over expression strength, which can be
effectively accomplished through engineering of the promoter element. In this regard, there …

Abstract Pairwise Rational Kernels (PRKs) are the combination of pairwise kernels, which
handle similarities between two pairs of entities, and rational kernels, which are based on …

Antibacterial drugs (AD) change the metabolic status of bacteria, contributing to bacterial
death. However, antibiotic resistance and the emergence of multidrug-resistant bacteria …

Metabolic systems engineering combines the tools and approaches of systems biology,
synthetic biology, and evolutionary engineering. This book reviews studies on metabolism …

Automated methods for reconstructing biological networks are becoming increasingly
important in computational systems biology. Public databases containing information on …