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Related Concept Videos

Pharmacovigilance01:19

Pharmacovigilance

Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Restarting Stalled Replication Forks02:37

Restarting Stalled Replication Forks

DNA replication is initiated at sites containing predefined DNA sequences known as origins of replication. DNA is unwound at these sites by the minichromosome maintenance (MCM) helicase and other factors such as Cdc45 and the associated GINS complex.The unwound single strands are protected by replication protein A (RPA) until DNA polymerase starts synthesizing DNA at the 5’ end of the strand in the same direction as the replication fork. To prevent the replication fork from falling apart, a...
Structure-Activity Relationships and Drug Design01:28

Structure-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...
Drug Discovery: Overview01:26

Drug 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...

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Related Experiment Video

Updated: Jun 7, 2026

Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down
08:59

Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down

Published on: December 11, 2017

Reverse engineering adverse outcome pathways.

Edward J Perkins1, J Kevin Chipman, Stephen Edwards

  • 1U.S. Army Engineering Research and Development Center, Vicksburg, Mississippi, USA. edward.j.perkins@usace.army.mil

Environmental Toxicology and Chemistry
|October 22, 2010
PubMed
Summary
This summary is machine-generated.

This study uses omics data to reverse engineer complex biological networks, identifying adverse outcome pathways (AOPs) for endocrine-disrupting chemicals in fathead minnows. This approach aids in understanding toxicological mechanisms and developing predictive ecotoxicological tools.

Related Experiment Videos

Last Updated: Jun 7, 2026

Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down
08:59

Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down

Published on: December 11, 2017

Area of Science:

  • Ecotoxicology
  • Systems Biology
  • Genomics

Background:

  • Mechanisms of toxicological effects are often unknown.
  • High-dimensional omics data can elucidate complex biological interactions.
  • Endocrine-disrupting chemicals pose risks to aquatic ecosystems.

Purpose of the Study:

  • To characterize adverse outcome pathways (AOPs) for chemicals disrupting the hypothalamus-pituitary-gonadal axis.
  • To apply reverse engineering of biological networks to ecotoxicology.
  • To identify candidate AOPs for endocrine disruptors using gene expression data.

Main Methods:

  • Utilized a large dataset of gene expression changes in fathead minnow ovaries (868 arrays).
  • Employed mutual information-based methods to infer gene regulatory networks.
  • Predicted network paths from chemical stressors to adverse outcomes as candidate AOPs.

Main Results:

  • Successfully inferred gene regulatory networks and potential AOPs for chemicals like flutamide.
  • Demonstrated a method to trace chemical perturbations through networks to adverse outcomes.
  • Identified candidate pathways for monitoring AOPs.

Conclusions:

  • Reverse engineering complex networks from omics data is a viable approach for ecotoxicological studies.
  • This method facilitates hypothesis formation for key biological processes and biomarkers.
  • Challenges and a roadmap for applying these tools in ecotoxicology were presented.