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SYSTEMS AND COMPUTATIONAL BIOLOGY JOURNAL

About the Journal

Recently Published Articles

Research Article

Pseudorandom Vs. Random Polymers - How to Improve the Efficiency of Lithography-based Synthesis

Corresponding Author: Phillip Stafford, Caris Life Sciences, VP Bioinformatics, Phoenix, Arizona, United States.
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Research Article

Computational Analysis of Pharmacogenomic Based Regulatory Network in Psoriasis: An Approach of Systems Biology to Initiate the Discovery of Systemic Biomarkers to Treat Psoriasis

Corresponding Author: Harishchander Anandaram, Sathyabama University, Department of Bioinformatics, India.
Pdf Full text Views (4526)

Editorial Team

The Systems and Computational Biology Journal (SCBJ) is an international, peer-reviewed, open access journal published by Boffin Access Limited. The journal is dedicated to advancing research at the intersection of biology, computation, and systems science. It provides a trusted platform for scientists, bioinformaticians, computational modelers, and systems biologists to publish innovative research that explains complex biological processes using mathematical, computational, and statistical approaches.

By integrating experimental biology with computational frameworks, the Systems and Computational Biology Journal aims to uncover the mechanisms underlying cellular networks, genetic regulation, disease pathways, and biological interactions. The journal encourages cross-disciplinary collaboration between life sciences and computational sciences, empowering researchers to transform biological data into meaningful insights that drive innovation in healthcare, biotechnology, and life science research.

Aims and Scope

The Systems and Computational Biology Journal (SCBJ), published by Boffin Access Limited, accepts a wide range of scholarly contributions including original research articles, reviews, short communications, perspectives, and technical notes.

Key areas of focus include, but are not limited to:

  • Computational modeling of biological systems

  • Systems biology of gene and protein networks

  • Bioinformatics and computational genomics

  • Mathematical biology and algorithm development

  • Machine learning and artificial intelligence in life sciences

  • Multi-omics data integration (genomics, proteomics, metabolomics)

  • Network biology and pathway analysis

  • Disease modeling and systems-based drug discovery

  • Computational neuroscience and evolutionary systems biology

  • Simulation tools and novel methodologies for biology

By promoting high-quality interdisciplinary research, the Systems and Computational Biology Journal serves as a valuable resource for advancing predictive biology and accelerating biomedical innovation.


Why Publish with the Systems and Computational Biology Journal?

  • Global Readership – Open access ensures wide visibility across biological and computational science communities.

  • Rigorous Peer Review – Submissions undergo a double-blind peer review process, focusing on novelty and scientific rigor.

  • Rapid Publication – Accepted articles are published promptly to disseminate findings without delay.

  • Interdisciplinary Impact – Bridges biology, computation, mathematics, and medicine to encourage collaborative research.

  • Innovative Formats – Supports supplementary datasets, algorithms, and software tools alongside research articles.

  • Author-Centric – Authors retain copyright under Creative Commons licensing, enabling maximum use and citation.

Subjects covered by the Systems and Computational Biology Journal

  • Computational Pharmacology
  • Computer-Aided Drug Design
  • Chemical-biology-specific modeling, and structural biology
  • Interfollicular epidermal progenitor cell proliferation
  • Modeling and simulation of cell biological systems
  • High-performance computational systems biology and parallel implementations
  • Multi-scale and spatial modeling and analysis methods
  • Model integration from biological databases
  • uORF-dependent translational control of gene expression
  • Protein Biosynthesis & Quality Control
  • Cell Adhesion, Polarity & Cytoskeleton
  • Novel Approaches to Bioinformatics Problems in Drug Design
  • Protein-Protein Interactions: 2 Hybrid & 3 Hybrid System
  • Mass spectrometry and protein profiling
  • Whole Transcriptome Shotgun Sequencing
  • Hidden Markov models, machine learning, support vector machines
  • Top Down & Bottom Up Approaches
  • Immunoinformatics & its Aplications
  • Advancements in Sequencing Techniques
  • Drug design & Drug discovery
  • Toxicogenomics, Transcriptomics & Transgenomics
  • Computational biomodeling
  • Technologies for Protein Analysis
  • Cancer Computational Biology
  • Bio image Analysis
  • graphics processing units
  • Simulation of spatio-temporal dynamics
  • Molecular docking
  • Designing and management biological databases
  • Massively Parallel Signature Sequencing (MPSS)
  • Biological Algorithms Development and Implementation

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