Journal of Computer-aided Molecular Design - Impact Factor

Journal of Computer-aided Molecular Design - Springer | 2025 Impact Factor:3.0 | Cite Score:4.6 | SCOPUS Q2

Impact Factor and Journal Rank of Computer-aided Molecular Design

About: The Journal of Computer-Aided Molecular Design, published by Springer, is a leading journal focused on the intersection of computational methods and molecular design. It serves as a prominent platform for disseminating innovative research and significant advancements in the use of computer-aided techniques for the design and discovery of new molecular entities.
Objective:
The primary objective of the Journal of Computer-Aided Molecular Design is to foster the development and application of computational methods and models in the field of molecular design. The journal aims to enhance the understanding and practical use of these technologies in drug discovery, materials science, and related areas by publishing high-quality research that contributes to the advancement of computational molecular design.
Interdisciplinary Focus:
This journal encourages submissions that bridge various disciplines, integrating insights from chemistry, biology, physics, and computer science. Topics covered include, but are not limited to, molecular modeling, cheminformatics, bioinformatics, molecular dynamics, quantum chemistry, and computational drug design. By promoting interdisciplinary research, the journal aims to address complex problems in molecular design through comprehensive and innovative approaches.
Peer Review and Publication:
The Journal of Computer-Aided Molecular Design ensures the publication of high-quality research through a rigorous peer-review process. The journal publishes original research articles, comprehensive reviews, and technical notes that provide significant contributions to the field. By maintaining strict academic standards, the journal ensures that all published work is both impactful and reliable.
Impact and Innovation:
The journal evaluates contributions based on their potential to drive forward the field of computer-aided molecular design and their innovative approaches to solving complex scientific problems. Research demonstrating novel computational techniques, new algorithms, or significant improvements in existing methods is highly valued. The journal aims to inspire further research and encourage the application of computer-aided design principles in various scientific and industrial contexts.
Global Reach:
With an international readership and contributions from researchers around the world, the Journal of Computer-Aided Molecular Design facilitates global collaboration and the exchange of knowledge in the field. It serves as a valuable resource for scientists, researchers, and professionals engaged in molecular design, providing insights into the latest trends, technologies, and methodologies. The journal global perspective ensures it addresses diverse scientific challenges and fosters a more interconnected and informed scientific community.

Journal Home: Journal Homepage

Editor-in-Chief: Federico Gago

Scope: Journal of Computer-Aided Molecular Design focuses on:
1. Molecular Modeling:
Techniques and applications in modeling molecular structures and behaviors.
2. Computational Chemistry:
Computational methods in chemistry, including quantum chemistry and molecular dynamics.
3. Drug Design:
Computer-aided methods for designing new pharmaceutical compounds.
4. Bioinformatics:
Computational tools and techniques for understanding biological data.
5. Chemical Informatics:
Information technology applied to chemistry, including databases and cheminformatics.
6. Structural Biology:
Computational approaches to understanding the structures of biological macromolecules.
7. Molecular Docking:
Techniques for predicting the interaction between molecules, such as drug-receptor interactions.
8. QSAR/QSPR:
Quantitative structure-activity and structure-property relationships.
9. Visualization:
Techniques for visualizing molecular structures and interactions.
10. Algorithm Development:
New computational algorithms for molecular design and analysis.