Chemical informatics, also known as cheminformatics, is the field that applies computational and information-technology methods to the collection, organization, analysis, and interpretation of chemical data. It involves representing chemical structures and properties in digital form, building and searching databases…
Chemical informatics, also known as cheminformatics, is the field that applies computational and information-technology methods to the collection, organization, analysis, and interpretation of chemical data. It involves representing chemical structures and properties in digital form, building and searching databases of molecules, and using algorithms and statistical and machine-learning techniques to predict properties, model relationships between structure and activity, and support decision-making. Cheminformatics plays an important role in drug discovery, materials science, and chemical research, helping scientists screen large numbers of compounds, identify promising candidates, and understand chemical and biological relationships. By bridging chemistry, computer science, and data analysis, chemical informatics enables researchers to manage the large and complex datasets generated by modern experimentation and to extract meaningful patterns from them. Within the scope of a journal focused on Bioinformatics And Diabetes, it connects to the broader use of computational tools to analyze molecular and biological data relevant to health and disease. This page gathers peer-reviewed, open-access research relevant to computational and informatics approaches in the chemical and life sciences, offering researchers, clinicians, and students freely accessible scientific work in the field.
2 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 2 articles above have been cited 11 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on Chemical Informatics, linking to each citing work.