Wiley Interdisciplinary Reviews: Computational Molecular Science

Cover image for Vol. 6 Issue 4

Editor-in-Chief: Peter R. Schreiner

Impact Factor: 10.234

ISI Journal Citation Reports © Ranking: 2015: 1/56 (Mathematical & Computational Biology); 13/163 (Chemistry Multidisciplinary)

Online ISSN: 1759-0884

Associated Title(s): Journal of Computational Chemistry, Molecular Informatics


Wiley Interdisciplinary Reviews: Computational Molecular Science provides a forum for high-quality review-type information that is broadly accessible to a diverse audience of scientists and engineers. The key features are as follows:

·         The most important current research is summarized in an ongoing series of commissioned as well as selected contributed reviews written by leading researchers.

·         WIREs Computational Molecular Science captures the crucial interdisciplinary flavour of this field by requiring authors to address the key topics from the differing perspectives of, for example, chemistry, biology, materials and computational modeling.

·         The ongoing evolution of research is captured via a systematic process for updating and expanding previously published content.

·         The publishing model adopted for WIREs Computational Molecular Science will ensure that it benefits from full journal-type indexing and impact factors.


WIREs Computational Molecular Science will be fully indexed in the major abstracting services, and will be assigned an impact factor in the same way as a journal. Unlike the review journal literature, however, WIREs Computational Molecular Science offers a comprehensive, coherent, well structured coverage of the field. It will be also be updated in a systematic fashion so that its content remains as current as possible.

WIREs Computational Molecular Science uses the following top-level structure:

Electronic Structure Theory

Molecular and Statistical Mechanics

Computer and Information Science

Computational Chemistry

Theoretical and Physical Chemistry

WIREs Computational Molecular Science is aimed at a broad scientific audience:

·         research scientists in academia, industry, and government laboratories working on the development of computational molecular science methods, algorithms, applications and data;

·         research scientists in academia, industry, and government laboratories working in the following areas: theoretical chemistry, physical chemistry, organic and inorganic chemistry, biochemistry, molecular biology, medicinal chemistry, pharma and drug development, cheminformatics, bioinformatics, materials and polymer science, solid state chemistry and physics, analytical chemistry and spectroscopy, nanotechnology, etc.

·         postgraduate students with an interest in these fields;

·         undergraduate students in chemical sciences, molecular life sciences, materials, polymers, nanotechnology, molecular physics, analytical and spectroscopic sciences.

Aims and Scope

The computational molecular sciences utilize the techniques of rigorous chemical as well as physical theories and computer-based modeling, relying on specialized hardware and software development, algorithm design, and database management to examine and elucidate all aspects of the molecular sciences. These approaches bridge chemistry, biology, and the materials sciences and have connections to neighboring chemical as well as biological application-driven fields. WIREs Computational Molecular Science will review and highlight research from all these fields.

Abstracting and Indexing Information

  • Academic Search (EBSCO Publishing)
  • AGRICOLA Database (National Agricultural Library)
  • BIOBASE: Current Awareness in Biological Sciences (Elsevier)
  • CAB Abstracts® (CABI)
  • CAS: Chemical Abstracts Service (ACS)
  • ChemWeb (ChemIndustry.com)
  • COMPENDEX (Elsevier)
  • Current Contents: Physical, Chemical & Earth Sciences (Thomson Reuters)
  • ProQuest Central (ProQuest)
  • ProQuest Research Library (ProQuest)
  • PubMed Dietary Supplement Subset (NLM)
  • Science Citation Index Expanded (Thomson Reuters)
  • SCOPUS (Elsevier)
  • Web of Science (Thomson Reuters)