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Journal of Computational Systems Biology (JCSB) is an open access, peer-reviewed journal publishing articles related to structure prediction of proteins and protein complexes, molecular simulation, systems biology, genomics, protein design, and drug discovery. JCSB aim’s to build up a comprehension of issues connected with organically significant computational models and serves mainstream researchers by providing free online access to high-quality articles.

Journal of Computational Systems Biology is using online manuscript submission, review and tracking systems for quality and quick review processing. Review processing is performed by the editorial board members of Journal of Computational Systems Biology or outside experts; at least two independent reviewer's approval followed by editor approval is required for acceptance of any citable manuscript.

Archives

Vol-03 | Issue-1-2025

The Dose and its Acute Toxicology: A Systematic Review Article in the First Phase of Experimental Pharmacology

Hundreds and thousands of acute toxicity studies are conducted in experimental pharmacology with assumption hypothesis every year.

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Global Analysis of an Epidemic Mathematical Model in A Chemostat

Understanding how an epidemic develops once it has emerged is crucial if we want to hope to control it. To do this, various models have been developed which highlight (in particular) the crucial role played by the parameter

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Comparative Assessment of De Novo Genome Assemblers for Generating Eukaryotic Primary Genome Assembly from Short Reads

Even though the bigger eukaryotic genomes can now be accurately sequenced, assembling multiple short sequence reads into a genome assembly de Novo is still quite difficult.

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Vol-02 | Issue-1-2024

Predicting Multi-Drug Inhibition Interactions based on Signaling Networks and Single Drug Dose-Response Information

Combination therapy is the hallmark of therapies for cancer, viral or microbial infections, hypertension, and other diseases involving complex biological networks.

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Computing intrinsic noise of the genetic regulation modeled by Hill functions

Intrinsic noise embedded in stochastic gene regulation due to low copy number of species has been studied using the approach of theoretical modeling and computational simulation, including the standard methods of stochastic simulation algorithm

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Novel Computational Model of the Brain Water Metabolism: Introducing an Interdisciplinary Approach

Brain water metabolism ensures the processes of cellular communication, transit of the signaling molecules, neurotransmitters, cytokines and substrates, participates in the clearance of pathogenic metabolites.

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  • EB

    VALERY SOYFER

    Professor, Department of Molecular & Microbiology, George Mason University, United States

  • EB

    ALADIN M BORIEK

    Professor, Department of Medicine, Baylor College of Medicine, United States

  • EB

    DANAIL BONCHEV

    Professor, Center for the Study of Biological Complexity, Virginia Commonwealth University, United States

  • EB

    JOSEP BASSAGANYA-RIERA

    Professor, Virginia Bioinformatics Institute, United States

Recent Articles

Comparative Assessment of De Novo Genome Assemblers for Generating Eukaryotic Primary Genome Assembly from Short Reads

Even though the bigger eukaryotic genomes can now be accurately sequenced, assembling multiple short sequence reads into a genome assembly de Novo is still quite difficult.

Author Name: Santhosh Ameya
PDF | Full Text | Journal of Computational Systems Biology
Computer Simulations of Brain Oxygenation at the Microvascular Level Validating a New Role of the Arterioles

Brain physiology critically depends on constant oxygen supply to the neurons to ensure various energy–dependent functions of the central nervous system.

Author Name: Titovets E
PDF | Full Text | Journal of Computational Systems Biology
Computer Modeling of Convective Mass Transfer of Glucose, Oxygen and Carbon Dioxide in the Neurovascular Unit

Glucose and oxygen are obligatory energy substrates for the brain and their continuous supply to the neurons, as well as elimination of the end product – carbon dioxide, is of paramount importance for brain physiology and survival.

Author Name: Titovets E
PDF | Full Text | Journal of Computational Systems Biology
The Dose and its Acute Toxicology: A Systematic Review Article in the First Phase of Experimental Pharmacology

The techniques used for data collection were: revision of different literatures, data selection, and data processing. Data analysis was done both manually and electronically using a computer package and calculator. Data was thematically compiled for validation of the findings from each of the sources.

Author Name: Belay Y
PDF | Full Text | Journal of Computational Systems Biology
Global Analysis of an Epidemic Mathematical Model in A Chemostat

In this paper, a mathematical five-dimensional dynamical system involving a SVEIR model of infectious disease transmission in a chemostat is proposed. A profound qualitative analysis is given. The analysis of the local and global stability of equilibrium points is carried out.

Author Name: EL Hajji M
PDF | Full Text | Journal of Computational Systems Biology
Computing intrinsic noise of the genetic regulation modeled by Hill functions

Intrinsic noise embedded in stochastic gene regulation due to low copy number of species has been studied using the approach of theoretical modeling and computational simulation, including the standard methods of stochastic simulation algorithm (SSA) and linear noise approximation (LNA).

Author Name: Riccardo Ziraldo
PDF | Full Text | Journal of Computational Systems Biology
Novel Computational Model of the Brain Water Metabolism: Introducing an Interdisciplinary Approach

Brain water metabolism ensures the processes of cellular communication, transit of the signaling molecules, neurotransmitters, cytokines and substrates, participates in the clearance of pathogenic metabolites.

Author Name: Titovets E
PDF | Full Text | Journal of Computational Systems Biology
Predicting Multi-Drug Inhibition Interactions based on Signaling Networks and Single Drug Dose-Response Information

Inhibiting multiple pathways/targets with combination drug therapies is widely used to maximize therapeutic benefit in many diseases. Therapeutic success can often be improved by concurrently and/or sequentially inhibiting multiple pathways/targets by combining drugs with different mechanisms of action.

Author Name: Tan M
PDF | Full Text | Journal of Computational Systems Biology
Networks: Elucidating Experimental Data by Differential Protein-Protein Interactions

Recently, the pathogenesis of coronary atherosclerosis - a primary cause of cardiovascular disease – studied in a swine model has been investigated by considering in particular the effects of a high cholesterol diet lasting 8 or 16 weeks [1].

Author Name: Capobianco E
PDF | Full Text | Journal of Computational Systems Biology
Modeling of Gene Regulatory Networks: A Literature Review

In the last years numerous methods have been developed and applied to reconstruct the structure and dynamic rules of gene-regulatory networks from different high-throughput data sources such as gene expression data.

Author Name: Fadhl M Alakwaa
PDF | Full Text | Journal of Computational Systems Biology