JOURNAL OF MOLECULAR GRAPHICS & MODELLING

Scope & Guideline

Pioneering Discoveries in Molecular Interactions

Introduction

Delve into the academic richness of JOURNAL OF MOLECULAR GRAPHICS & MODELLING 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
ISSN1093-3263
PublisherELSEVIER SCIENCE INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1997 to 2024
AbbreviationJ MOL GRAPH MODEL / J. Mol. Graph.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressSTE 800, 230 PARK AVE, NEW YORK, NY 10169

Aims and Scopes

The Journal of Molecular Graphics & Modelling focuses on the application of molecular graphics and computational modelling in various scientific fields, particularly chemistry, biology, and materials science. It aims to provide insights into molecular interactions and properties through advanced computational techniques.
  1. Molecular Dynamics Simulations:
    The journal frequently publishes studies utilizing molecular dynamics simulations to investigate the behavior of molecules in various environments, providing insights into structural and dynamical properties.
  2. Density Functional Theory (DFT) Calculations:
    DFT is a common computational method featured in the journal, allowing researchers to explore electronic structures, reaction mechanisms, and material properties at the quantum level.
  3. Drug Discovery and Design:
    A significant focus is placed on computational approaches for drug discovery, including virtual screening, molecular docking, and pharmacophore modeling to identify potential therapeutic candidates.
  4. Material Science Applications:
    The journal covers research on the properties and applications of novel materials, particularly in the context of energy storage, catalysis, and nanotechnology, often emphasizing their molecular-level interactions.
  5. Biomolecular Interactions:
    Research on protein-ligand interactions, enzyme mechanisms, and the development of biomolecular sensors is prevalent, highlighting the importance of computational methods in understanding biological processes.
  6. Machine Learning Integration:
    There is an emerging trend of integrating machine learning techniques with traditional computational methods to enhance predictive modeling and accelerate the discovery of new compounds.
The Journal of Molecular Graphics & Modelling has witnessed the emergence of several trending themes that reflect the evolving landscape of molecular research. These themes indicate a shift towards more complex and interdisciplinary approaches.
  1. Advanced Machine Learning Applications:
    The integration of machine learning techniques in molecular modeling is on the rise, with researchers applying AI to predict molecular properties and optimize drug design.
  2. COVID-19 Related Studies:
    There has been an increase in publications focused on SARS-CoV-2, utilizing computational methods to explore drug interactions, structural dynamics, and potential inhibitors.
  3. Nanotechnology and Nanomaterials:
    Research on nanostructures and their applications in drug delivery, sensors, and energy conversion is trending, reflecting growing interest in nanoscale materials and their unique properties.
  4. Multiscale Modeling Approaches:
    The journal is seeing a trend towards multiscale modeling, combining different computational techniques to capture complex phenomena in materials and biological systems.
  5. Environmental and Green Chemistry:
    An emerging interest in sustainable practices and green chemistry is evident, with a focus on developing eco-friendly materials and processes using computational insights.
  6. Complex Biomolecular Systems:
    Research surrounding complex biomolecular systems, including protein interactions and the dynamics of larger biological assemblies, is gaining prominence, highlighting the need for detailed computational studies.

Declining or Waning

As the focus of research evolves, certain themes have become less prominent in the Journal of Molecular Graphics & Modelling. This section highlights those areas that appear to be waning in frequency or interest.
  1. Classical Force Field Studies:
    Traditional molecular mechanics studies based on classical force fields have seen a decline, as researchers increasingly adopt more sophisticated quantum mechanical approaches like DFT and hybrid methods.
  2. Empirical Modeling Techniques:
    There has been a noticeable reduction in the publication of studies relying solely on empirical models, as the field shifts toward more data-driven, computationally intensive methods.
  3. Static Structural Analysis:
    The focus on static structural analysis of small molecules without dynamic considerations has decreased, as dynamic simulations and real-time interactions gain traction in research.
  4. General Computational Chemistry:
    There is a decline in general computational chemistry studies that do not employ advanced techniques, as the journal increasingly emphasizes high-impact studies with innovative methodologies.

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