Overview


Aims and Scope

Molecular Informatics is a peer-reviewed, international forum for publication of high-quality, interdisciplinary research on all molecular aspects of bio/cheminformatics and computer-assisted molecular design. Molecular Informatics succeeded QSAR & Combinatorial Science in 2010.

Molecular Informatics presents methodological innovations that will lead to a deeper understanding of ligand-receptor interactions, macromolecular complexes, molecular networks, design concepts and processes that demonstrate how ideas and design concepts lead to molecules with a desired structure or function, preferably including experimental validation.

The journal's scope includes but is not limited to the fields of drug discovery and chemical biology, protein and nucleic acid engineering and design, the design of nanomolecular structures, strategies for modeling of macromolecular assemblies, molecular networks and systems, pharmaco- and chemogenomics, computer-assisted screening strategies, as well as novel technologies for the de novo design of biologically active molecules. As a unique feature Molecular Informatics publishes so-called "Methods Corner" review-type articles which feature important technological concepts and advances within the scope of the journal.

Masthead

Masthead (PDF) –

How to cite: To make sure that references to this journal are correctly recorded and resolved (for example in CrossRef, PubMed, or ISI Web of Knowledge), please use the following abbreviated title in any citations: "Mol. Inf." (punctuation may vary according to the style of the citing journal).


Readership

Computational chemists and biologists; Medicinal, pharmaceutical, organic and biochemists; Chemical and molecular biologists; Pharmacists and pharmacologists; Drug designers; Researchers in the fields of chem/bioinformatics


Keywords

Cheminformatics, Bioinformatics, Pharmacoinformatics, Drug design, Virtual screening, Molecular modeling, Protein modeling, Protein engineering, Nucleic acid engineering, Pharmacogenomics, Chemogenomics, Systems biology, Small molecules, Macromolecular complexes, Molecular networks, Protein-protein interactions, QSAR


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