Molecular Informatics - Molecular Informatics | 2024 Impact Factor: 3.1 | Cite Score: 5.9 | Q2

About this Journal:
Molecular Informatics is a peer-reviewed journal that publishes research at the intersection of chemistry, biology, computer science, and data-driven computational methods.Molecular Informatics is an interdisciplinary journal publishing high quality research on molecular aspects of bioinformatics, cheminformatics, and computer-assisted molecular design. We welcome informatics papers from a wide variety of fields such as drug discovery and chemical biology, protein and nucleic acid engineering and design, bio-nanomolecular structures, macromolecular assemblies, molecular networks and systems, pharmacogenomics and chemogenomics, virtual screening, and novel technologies for the design of biologically active molecules.
It focuses on molecular modeling, cheminformatics, bioinformatics, and the development of computational tools that advance molecular-level understanding.
Published by Wiley, the journal provides a platform for innovative computational approaches in drug discovery, chemical design, molecular simulations, and machine learning applications in life sciences.
It welcomes contributions from computational chemists, molecular biologists, data scientists, and researchers working on algorithmic and theoretical aspects of molecular science.

Editor-in-Chief: Knut Baumann, Alexandre Varnek, Associate Editors: Hanoch Senderowitz, Yoshihiro Yamanishi

Scope of the Journal:
Cheminformatics methods, chemical data mining, and QSAR/QSPR modeling.
Molecular modeling, molecular dynamics, and structure-based computational analysis.
Machine learning, AI approaches, and deep learning applications in chemistry and biology.
Drug discovery, virtual screening, target identification, and ligand–receptor interactions.
Bioinformatics, sequence analysis, and computational methods for biomolecular data.
Design and development of algorithms, databases, and software tools for molecular sciences.
Computational toxicology, systems biology, and network-based molecular analysis.
Theoretical chemistry and quantitative molecular structure-property relationships.