Frontiers in Molecular Biosciences

Scope & Guideline

Shaping the Future of Health through Molecular Insights

Introduction

Welcome to your portal for understanding Frontiers in Molecular Biosciences, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN-
PublisherFRONTIERS MEDIA SA
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationFRONT MOL BIOSCI / Front. Mol. Biosci.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND

Aims and Scopes

The journal "Frontiers in Molecular Biosciences" aims to advance our understanding of molecular mechanisms underlying biological processes and diseases. It encompasses a broad range of research areas, methodologies, and applications, emphasizing molecular biosciences in health and disease.
  1. Molecular Mechanisms of Disease:
    Research focused on elucidating the molecular pathways involved in various diseases, including cancer, neurodegenerative disorders, and metabolic diseases.
  2. Biomarker Discovery and Validation:
    Studies aimed at identifying and validating novel biomarkers for disease diagnosis, prognosis, and therapeutic response.
  3. Therapeutic Interventions and Drug Development:
    Exploration of innovative therapeutic strategies, including drug repurposing, small molecule inhibitors, and gene therapies, aimed at treating various diseases.
  4. Bioinformatics and Computational Biology:
    Utilization of bioinformatics tools and computational models to analyze biological data, predict interactions, and understand disease mechanisms.
  5. Nanotechnology and Drug Delivery Systems:
    Development of advanced nanocarriers and drug delivery systems to enhance the efficacy of therapeutic agents.
  6. Cellular and Molecular Biology Techniques:
    Application of cutting-edge techniques such as CRISPR, RNA sequencing, and proteomics to study cellular functions and interactions.
The journal has seen a significant rise in topics related to emerging technologies and innovative approaches in molecular biosciences. These trends reflect the current focus on precision medicine, personalized therapies, and the integration of multi-omics data.
  1. Ferroptosis and its Role in Cancer:
    Research exploring the mechanisms of ferroptosis and its implications for cancer therapy is rapidly gaining traction, highlighting its potential as a therapeutic target.
  2. Machine Learning and AI in Biomedical Research:
    The application of machine learning and artificial intelligence to predict molecular interactions, analyze large datasets, and enhance drug discovery is becoming increasingly prominent.
  3. Extracellular Vesicles in Disease Mechanisms:
    Studies focusing on the role of extracellular vesicles in intercellular communication and their implications in various diseases are on the rise, emphasizing their potential as biomarkers and therapeutic targets.
  4. Non-Coding RNAs in Therapeutics:
    Research into the roles of long non-coding RNAs and microRNAs in gene regulation and disease progression is expanding, reflecting their therapeutic potential.
  5. Immunotherapy and Tumor Microenvironment Studies:
    Investigations into the tumor microenvironment and its role in immunotherapy response are trending, with a focus on understanding immune cell infiltration and interactions.

Declining or Waning

While "Frontiers in Molecular Biosciences" continues to publish a diverse array of research, certain themes have shown a decline in prominence over recent years. This may reflect evolving research interests and technological advancements.
  1. Traditional Biochemical Assays:
    As molecular and computational techniques advance, traditional biochemical assays have become less favored, with researchers opting for more innovative approaches.
  2. Single-Domain Antibodies:
    Research on single-domain antibodies has decreased as interest shifts toward more complex antibody formats and engineered therapeutic proteins.
  3. Basic Protein Structure Analysis:
    With the rise of advanced computational modeling and machine learning techniques, basic structural analysis of proteins is receiving less attention in favor of more integrative approaches.
  4. Animal Models in Drug Testing:
    The reliance on animal models for drug testing is waning as ethical considerations and the development of in vitro and computational models gain traction.

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