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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.
Pdf Full text Views (5130)

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 (4904)

Editorial Team

Welcome to Systems and Computational Biology Journal

The Systems and Computational Biology Journal is a premier open-access peer-reviewed publication that showcases the latest advancements in systems biology and computational biology. Serving as a bridge between fundamental and applied biology, our journal offers invaluable insights into understanding complex biological systems and developing novel drugs, targets, and methods for combating various diseases.

Advancing Biological Understanding

At Systems and Computational Biology Journal, we are committed to advancing biological understanding through cutting-edge research and interdisciplinary collaboration. By leveraging computational approaches and systems-level analyses, we unravel the intricacies of biological systems, paving the way for groundbreaking discoveries and innovations in biomedical research and beyond.

High-Quality Content and Editorial Policies

Our journal prides itself on publishing high-quality content that adheres to internationally accepted review and editorial policies. Whether it's original research articles, comprehensive review papers, innovative hypotheses, succinct communications, thought-provoking editorials, or insightful letters, Systems and Computational Biology Journal provides a platform for sharing diverse perspectives and groundbreaking discoveries in the field.

Encouraging Innovation and Collaboration

We value the contributions of individual authors and encourage the submission of novel and unpublished data. By fostering a culture of innovation and collaboration, Systems and Computational Biology Journal aims to catalyze scientific progress and drive transformative advances in systems biology, computational biology, and related disciplines.

Join Our Community

Whether you're a seasoned researcher, a budding scientist, or an avid reader interested in the latest developments in systems and computational biology, we invite you to join our vibrant community. Explore our journal, submit your research, and become part of a dynamic ecosystem dedicated to unraveling the mysteries of life and improving human health.

Aims and Scope

Aims and Scope

The Systems and Computational Biology Journal is dedicated to advancing the frontiers of biological sciences through the integration of systems biology and computational biology approaches. Our journal aims to:

1. Explore Complex Biological Systems: We strive to unravel the complexities of biological systems at a systems-level using computational modeling, network analysis, and data-driven approaches. By integrating diverse datasets and computational tools, we aim to gain deeper insights into the underlying mechanisms governing biological processes.

2. Foster Innovation in Biomedical Research: We seek to drive innovation in biomedical research by providing a platform for interdisciplinary collaboration and exchange of ideas. Through the development and application of computational methodologies, we aim to accelerate the discovery of novel drugs, therapeutic targets, and diagnostic strategies for various diseases.

3. Promote Translational Research: Our journal emphasizes translational research that bridges the gap between basic biological knowledge and clinical applications. We aim to facilitate the translation of computational insights into actionable interventions that improve human health and address unmet medical needs.

4. Publish High-Quality Research: We are committed to publishing high-quality research articles, review papers, hypothesis-driven studies, and methodological advances that meet the highest standards of scientific rigor and integrity. Our editorial policies ensure fair and impartial review processes that uphold the quality and credibility of published content.

5. Engage and Educate the Scientific Community: We strive to engage and educate the scientific community by disseminating cutting-edge research findings, promoting discussion and debate, and fostering collaboration among researchers, academicians, and industry professionals. Through our journal, we aim to contribute to the collective knowledge and advancement of biological sciences.

6. Address Societal Challenges: We recognize the importance of addressing societal challenges such as disease prevention, personalized medicine, and environmental sustainability. By harnessing the power of systems and computational biology, we aim to develop innovative solutions that have a positive impact on society and the environment.

Join Our Mission

Whether you are a computational biologist, systems biologist, bioinformatician, or biomedical researcher, we invite you to join us in our mission to advance the field of systems and computational biology. Submit your research, share your insights, and become part of a vibrant community dedicated to unraveling the complexities of life and improving human health.

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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