Computer-aided drug discovery and development (CADDD): In silico-chemico-biological approach
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2008/01/01
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Journal
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Indian UGC (journal)
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Refrences94
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Citations325
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I.M. Kapetanovic
Cite
Kapetanovic, I.M. “Computer-Aided Drug Discovery and Development (CADDD): In Silico-Chemico-Biological Approach”. Chemico-Biological Interactions, vol. 171, no. 2, 2008, pp. 165-76, https://doi.org/10.1016/j.cbi.2006.12.006.
Kapetanovic, I. (2008). Computer-aided drug discovery and development (CADDD): In silico-chemico-biological approach. Chemico-Biological Interactions, 171(2), 165-176. https://doi.org/10.1016/j.cbi.2006.12.006
Kapetanovic, I.M. “Computer-Aided Drug Discovery and Development (CADDD): In Silico-Chemico-Biological Approach”. Chemico-Biological Interactions 171, no. 2 (2008): 165-76. https://doi.org/10.1016/j.cbi.2006.12.006.
1.
Kapetanovic I. Computer-aided drug discovery and development (CADDD): In silico-chemico-biological approach. Chemico-Biological Interactions. 2008;171(2):165-76.
Journal Categories
Medicine
Public aspects of medicine
Toxicology
Poisons
Medicine
Therapeutics
Pharmacology
Science
Biology (General)
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Expect the Unexpected or Caveat for Drug Designers: Multiple Structure Determinations Using Aldose Reductase Crystals Treated under Varying Soaking and Co-crystallisation Conditions | Journal of Molecular Biology |
| 83 | 2006 |
| Use of computer-assisted prediction of toxic effects of chemical substances | Toxicology |
| 63 | 2006 |
Minimizing false positives in kinase virtual screens | Proteins: Structure, Function, and Bioinformatics |
| 52 | 2006 |
| Systems-ADME/Tox: Resources and network approaches | Journal of Pharmacological and Toxicological Methods |
| 30 | 2006 |
| Prediction of Protein−Ligand Interactions. Docking and Scoring: Successes and Gaps | Journal of Medicinal Chemistry |
| 452 | 2006 |
Refrences Analysis
The category
Medicine: Therapeutics. Pharmacology 46
is the most frequently represented among the references in this article. It primarily includes studies from Journal of Medicinal Chemistry and Drug Discovery Today. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Citations Analysis
The category
Science: Biology (General) 118
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Tools for evidence-based toxicology: computational-based strategies as a viable modality for decision support in chemical safety evaluation and risk assessment and was published in 2008. The most recent citation comes from a 2024 study titled Unveiling G-protein coupled receptor kinase-5 inhibitors for chronic degenerative diseases: Multilayered prioritization employing explainable machine learning-driven multi-class QSAR, ligand-based pharmacophore and free energy-inspired molecular simulation. This article reached its peak citation in 2023, with 49 citations. It has been cited in 196 different journals, 23% of which are open access. Among related journals, the International Journal of Molecular Sciences cited this research the most, with 16 citations. The chart below illustrates the annual citation trends for this article.