Molecular Systems Biology

Scope & Guideline

Unraveling the Mysteries of Molecular Interactions

Introduction

Delve into the academic richness of Molecular Systems Biology with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1744-4292
PublisherSPRINGERNATURE
Support Open AccessYes
CountryUnited Kingdom
TypeJournal
Convergefrom 2005 to 2024
AbbreviationMOL SYST BIOL / Mol. Syst. Biol.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

Molecular Systems Biology focuses on the integration of biological data at multiple levels to understand complex biological systems and their interactions. The journal emphasizes the use of advanced computational and experimental techniques to elucidate molecular mechanisms underlying various biological phenomena.
  1. Systems Biology Approaches:
    The journal promotes research that utilizes systems biology frameworks, integrating data from genomics, transcriptomics, proteomics, and metabolomics to construct comprehensive models of biological systems.
  2. Multi-Omics Integration:
    A core focus is on integrating various omics data to understand the interplay between different biological layers and how they contribute to cellular functions and disease states.
  3. Machine Learning and AI Applications:
    The journal features studies employing machine learning and artificial intelligence for predictive modeling, data analysis, and interpretation of complex biological datasets.
  4. Experimental Methodologies:
    Research published often includes innovative experimental techniques such as high-throughput screening, single-cell analysis, and advanced imaging methods that enhance our understanding of molecular interactions.
  5. Metabolic Engineering and Synthetic Biology:
    There is a strong emphasis on metabolic engineering and synthetic biology, exploring how engineered systems can be utilized to produce valuable compounds or to understand metabolic pathways.
  6. Disease Mechanisms and Therapeutics:
    The journal also addresses the molecular mechanisms of diseases, including cancer, infectious diseases, and metabolic disorders, highlighting potential therapeutic targets and strategies.
Molecular Systems Biology is witnessing exciting trends and emerging themes that reflect the evolving landscape of biological research. These areas highlight the journal's commitment to addressing contemporary challenges and advancing scientific knowledge.
  1. Advanced Computational Models:
    There is an increasing trend in the development and application of advanced computational models, including machine learning and AI, to analyze complex biological data, predict outcomes, and design experiments.
  2. Single-Cell Genomics and Spatial Transcriptomics:
    Research focusing on single-cell genomics and spatial transcriptomics is gaining momentum, allowing for a more detailed understanding of cellular heterogeneity and microenvironment interactions.
  3. Synthetic Biology Innovations:
    The journal is seeing a rise in studies related to synthetic biology, particularly in the design of genetic circuits and engineered organisms for specific applications in biotechnology and medicine.
  4. Metabolomics and Microbiome Studies:
    Emerging research on metabolomics and its relationship with the microbiome is increasingly featured, reflecting a growing interest in how metabolic processes influence health and disease.
  5. Interdisciplinary Approaches to Disease Mechanisms:
    There is a trend towards interdisciplinary approaches combining systems biology, immunology, and virology to better understand disease mechanisms, particularly in the context of emerging infectious diseases.

Declining or Waning

While Molecular Systems Biology continues to thrive in various areas, certain themes have shown a decline in recent publications. This may reflect shifts in research focus or technological advancements that render older approaches less relevant.
  1. Traditional Biochemical Techniques:
    There has been a noticeable decrease in studies relying solely on traditional biochemical techniques without integration into broader systems biology frameworks, as newer multidisciplinary approaches gain prominence.
  2. Focus on Single-Omics Studies:
    Research centered exclusively on single-omics analyses, such as genomics or transcriptomics in isolation, seems to be waning in favor of integrative studies that consider multiple omics layers.
  3. Static Models of Biological Systems:
    Static or linear models that do not account for the dynamic nature of biological systems are becoming less common, as there is a growing recognition of the need for dynamic and adaptable models.
  4. Reductionist Approaches:
    Research employing reductionist methods that isolate biological components without considering their interactions within a system is seeing a decrease, as the field shifts towards more holistic perspectives.

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