Abstract
We have developed a comprehensive information platform, named KeyMolnet, for drug discovery and life science research in the post-genome era. Using KeyMolnet, we show new approaches to research into the biological mechanism in DNA microarray analysis. Thanks to the DNA microarray technology, it is now possible to obtain very large quantities of gene expression data at a time. However, it is still difficult to extract meaningful information from such large quantities of data and to analyze the relationship between gene expression data and biological function. We therefore developed an advanced tool that can generate molecular networks upon demand, and beyond signaling “cross-talks,” can connect them to physiological phenomena and medical and drug information. Here we show the methods of mechanism analysis using the DNA microarray data and KeyMolnet, as well as the possible mechanism of inducing apoptosis in the human promyelocytic leukemia cell line, HL-60, treated with 12-O-tetradecanoylphorbol 13-acetate (TPA), using the time series of gene expression data from DNA microarray experiments. KeyMolnet enables practical approaches to research into biological mechanisms, which in turn contribute to new discoveries in the medical, pharmaceutical and life sciences.
Keywords: dna microarray, proteomics, network, molecular relation, data mining, platform, apoptosis
Current Drug Discovery Technologies
Title: New Approaches to Mechanism Analysis for Drug Discovery Using DNA Microarray Data Combined with KeyMolnet
Volume: 2 Issue: 2
Author(s): Hiromi Sato, Seiichi Ishida, Kyoko Toda, Rieko Matsuda, Yuzuru Hayashi, Makoto Shigetaka, Miki Fukuda, Yohko Wakamatsu and Akiko Itai
Affiliation:
Keywords: dna microarray, proteomics, network, molecular relation, data mining, platform, apoptosis
Abstract: We have developed a comprehensive information platform, named KeyMolnet, for drug discovery and life science research in the post-genome era. Using KeyMolnet, we show new approaches to research into the biological mechanism in DNA microarray analysis. Thanks to the DNA microarray technology, it is now possible to obtain very large quantities of gene expression data at a time. However, it is still difficult to extract meaningful information from such large quantities of data and to analyze the relationship between gene expression data and biological function. We therefore developed an advanced tool that can generate molecular networks upon demand, and beyond signaling “cross-talks,” can connect them to physiological phenomena and medical and drug information. Here we show the methods of mechanism analysis using the DNA microarray data and KeyMolnet, as well as the possible mechanism of inducing apoptosis in the human promyelocytic leukemia cell line, HL-60, treated with 12-O-tetradecanoylphorbol 13-acetate (TPA), using the time series of gene expression data from DNA microarray experiments. KeyMolnet enables practical approaches to research into biological mechanisms, which in turn contribute to new discoveries in the medical, pharmaceutical and life sciences.
Export Options
About this article
Cite this article as:
Sato Hiromi, Ishida Seiichi, Toda Kyoko, Matsuda Rieko, Hayashi Yuzuru, Shigetaka Makoto, Fukuda Miki, Wakamatsu Yohko and Itai Akiko, New Approaches to Mechanism Analysis for Drug Discovery Using DNA Microarray Data Combined with KeyMolnet, Current Drug Discovery Technologies 2005; 2 (2) . https://dx.doi.org/10.2174/1570163054064701
DOI https://dx.doi.org/10.2174/1570163054064701 |
Print ISSN 1570-1638 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6220 |
Call for Papers in Thematic Issues
Advancements in Computational Methods for Drug Design
This thematic issue delves into the cutting-edge computational methodologies revolutionizing drug design. Emphasizing the integration of in silico techniques, this collection highlights advancements in some computational methods, as: molecular docking, molecular dynamics, QSAR (Quantitative Structure-Activity Relationship) and free energy calculations. These approaches enhance the efficiency of drug discovery, reduce costs, ...read more
Disease Modelling: Emerging Frontiers in Disease Modelling: Data to Drug Discovery in Bioinformatics in Precision Medicine and Health Science
The special issue on "Emerging Frontiers in Disease Modelling: Data to Drug Discovery in Bioinformatics in Precision Medicine and Health Science" aims to explore the transformative role of bioinformatics in bridging the gap between extensive biological data and the development of targeted therapies. This issue will highlight cutting-edge research and ...read more
Novel drug delivery therapeutics: Opportunities and challenges for combating diseases
The field of drug delivery therapeutics has undergone significant transformation with the emergence of innovative technologies designed to enhance therapeutic efficacy and patient outcomes. As traditional drug administration methods encounter limitations in terms of efficacy, safety, and patient compliance, novel drug delivery systems offer promising solutions to these challenges. Advancements ...read more

- Author Guidelines
- Bentham Author Support Services (BASS)
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
The Role of Heat Shock Protein 40 in Carcinogenesis and Biology of Colorectal
Cancer
Current Pharmaceutical Design Angiogenesis and Hypertension: The Dual Role of Anti-Hypertensive and Anti-Angiogenic Therapies
Current Vascular Pharmacology Inhibitors of Cancer Stem Cells
Anti-Cancer Agents in Medicinal Chemistry Decreased Expression and Altered Methylation of Syncytin-1 Gene in Human Placentas Associated with Preeclampsia
Current Pharmaceutical Design Genetic and Epigenetic Heterogeneity in Cancer: The Ultimate Challenge for Drug Therapy
Current Drug Targets Recent Advances in Minimal Access Surgery for Infants and Children
Current Pediatric Reviews Molecular Field Analysis (MFA) and Other QSAR Techniques in Development of Phosphatase Inhibitors
Anti-Cancer Agents in Medicinal Chemistry In Silico Assessment of ADME Properties: Advances in Caco-2 Cell Monolayer Permeability Modeling
Current Topics in Medicinal Chemistry Nanotechnology-based Assays for the Detection of Cancer through Sputum
Current Analytical Chemistry Inhibition of Disulfide Reductases as a Therapeutic Strategy
Current Enzyme Inhibition Imaging in Inflammatory Bowel Disease Mucosal Healing in Ulcerative Colitis: Relevance for Clinical Outcomes
Current Drug Targets ABCB1, SLCO1B1 and UGT1A1 Gene Polymorphisms Are Associated with Toxicity Line Irinotecan
Drug Metabolism Letters Elevated O-GlcNAcylation Promotes Malignant Phenotypes of Hypopharyngeal Squamous Cell Carcinoma by Stabilizing Nrf2 through Regulation of the PI3K/Akt Pathway
Anti-Cancer Agents in Medicinal Chemistry Olive Oil and Apoptosis of Cancer Cells
Current Nutrition & Food Science Benzocoumarins: Isolation, Synthesis, and Biological Activities
Mini-Reviews in Medicinal Chemistry Farnesylated Proteins as Anticancer Drug Targets: From Laboratory to the Clinic
Current Medicinal Chemistry - Anti-Cancer Agents Modulation of Tumour-Related Signaling Pathways by Natural Pentacyclic Triterpenoids and their Semisynthetic Derivatives
Current Medicinal Chemistry The Akt/PKB Family of Protein Kinases: A Review of Small Molecule Inhibitors and Progress Towards Target Validation
Current Topics in Medicinal Chemistry The Expression, Function and Targeting of Haem Oxygenase-1 in Cancer
Current Cancer Drug Targets Nutraceuticals for Protection and Healing of Gastrointestinal Mucosa
Current Medicinal Chemistry