PROTEOMICS

Scope & Guideline

Bridging knowledge and application in molecular biology.

Introduction

Delve into the academic richness of PROTEOMICS 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
ISSN1615-9853
PublisherWILEY
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 2001 to 2024
AbbreviationPROTEOMICS / Proteomics
Frequency24 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The journal 'PROTEOMICS' is dedicated to advancing the field of proteomic research through innovative methodologies and comprehensive analyses. It serves as a platform for the dissemination of cutting-edge studies that explore protein functions, interactions, and their implications in various biological contexts.
  1. Proteomic Methodologies:
    Focus on advanced proteomic techniques such as mass spectrometry, label-free quantitation, and computational approaches to analyze complex protein mixtures and their modifications.
  2. Biomarker Discovery:
    Emphasis on identifying novel biomarkers for diseases through proteomic profiling and analysis, contributing to early diagnosis and personalized medicine.
  3. Structural and Functional Proteomics:
    Investigation of protein structures and functions, including the study of protein interactions, conformational changes, and dynamics using computational and experimental methods.
  4. Clinical Applications of Proteomics:
    Application of proteomic findings to clinical settings, exploring therapeutic implications and the role of proteins in disease mechanisms.
  5. Interdisciplinary Approaches:
    Integration of proteomics with other omics technologies (genomics, transcriptomics, metabolomics) and bioinformatics to provide a holistic understanding of biological systems.
Recent publications in 'PROTEOMICS' have revealed several emerging themes that are gaining momentum and shaping the future direction of research in the field. These trends reflect the journal's responsiveness to the evolving landscape of proteomic science.
  1. Computational Proteomics:
    There is a significant increase in the application of computational methods, including machine learning and in silico modeling, to predict protein interactions and functions, enhancing the efficiency and accuracy of proteomic analyses.
  2. Proteomics in Cancer Research:
    A marked rise in studies focusing on cancer proteomics, particularly in identifying biomarkers and therapeutic targets, highlights the journal's commitment to contributing to cancer diagnostics and treatment.
  3. Multi-Omics Integration:
    The integration of proteomics with genomics and metabolomics is becoming more prevalent, reflecting a trend towards comprehensive biological insights that address complex disease mechanisms.
  4. Proteomics in Drug Development:
    Emerging research is increasingly centered on the role of proteomics in drug discovery and development, particularly in understanding drug resistance mechanisms and identifying novel therapeutic targets.
  5. Explorations of Non-Coding RNAs and Proteins:
    The investigation into the relationship between non-coding RNAs and proteins is gaining traction, as researchers explore their roles in regulatory networks and disease pathogenesis.

Declining or Waning

While 'PROTEOMICS' continues to explore a wide array of topics, certain themes appear to be losing traction in recent publications. This section highlights those areas as they might indicate shifts in research focus or emerging interests.
  1. Basic Proteomic Studies:
    There is a noticeable decline in purely basic studies that do not link findings to clinical or practical applications, possibly due to a growing demand for translational research.
  2. Traditional Protein Analysis Techniques:
    Conventional methods for protein analysis, such as two-dimensional electrophoresis, are being overshadowed by more advanced techniques, indicating a shift towards high-throughput and automated methods.
  3. Environmental and Agricultural Proteomics:
    Research focusing on environmental and agricultural applications of proteomics has decreased, suggesting a possible shift in interest towards clinical and biomedical applications.
  4. Single Protein Studies:
    The focus on single protein investigations is waning, as the field increasingly emphasizes system-wide analyses and interactions among multiple proteins.

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