Related Experiment Video
Updated: May 22, 2026
05:10
Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Integrated project views: decision support platform for drug discovery project teams.
Eric J Baede1, Ernest den Bekker, Jan-Willem Boiten
1Discovery Informatics, Molecular Design and Informatics Department, MSD, Molenstraat 110, 5342 CC Oss, The Netherlands.
Journal of Chemical Information and Modeling
|May 30, 2012
Summary
Drug discovery teams face challenges with scattered data. The Integrated Project Views (IPV) system consolidates project data, improving decision-making and data consistency for research teams.
Area of Science:
- Computational chemistry and cheminformatics
- Drug discovery and development informatics
Background:
- Drug discovery decision-making is hampered by fragmented, inaccessible, and inconsistent data.
- Existing data management systems often use compound-centric or assay-centric views, not the project-centric approach needed by research teams.
Purpose of the Study:
- To develop a solution for integrating and consolidating scattered drug discovery data.
- To create a project-oriented data system to support informed decision-making in drug discovery teams.
Main Methods:
- Development of a custom Integrated Project Views (IPV) system.
- Implementation of automatic data gathering and updating functionalities.
- Creation of tailored algorithms to support specific drug discovery decision processes.
Main Results:
- The IPV system successfully integrates and consolidates data from diverse sources into a project-centric view.
- Automatic data updates ensure comprehensive and timely information availability, enhancing data consistency.
- The system has been in use for 10 years, demonstrating significant user acceptance and reducing reliance on standalone spreadsheets.
Conclusions:
- The Integrated Project Views (IPV) system effectively addresses the need for project-centric data management in drug discovery.
- This custom solution improves data accessibility, consistency, and timeliness, thereby supporting more informed decision-making.
- The long-term adoption of IPV highlights its value and success in streamlining drug discovery workflows.
Related Concept Videos
01:26Drug Discovery: Overview
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
01:15Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
01:28Structure-Activity Relationships and Drug Design
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
01:22Biopharmaceutical Factors Influencing Drug Product Design: Overview
Rational drug product design integrates knowledge of the drug’s physicochemical properties, formulation components, manufacturing techniques, and intended route of administration. Each factor influences the drug’s performance, including how it is released, absorbed, and eliminated in the body.The physicochemical properties of a drug—such as solubility, stability, and particle size—affect its compatibility with excipients and the choice of dosage form. Excipients, though pharmacologically...
01:28Preclinical Development: Overview
Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
01:29Pharmacogenomics: Identification of New Drug Targets
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...