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Related Concept Videos

Resistivity01:22

Resistivity

4.5K
When a voltage is applied to a conductor, an electrical field is generated, and charges in the conductor feel the force due to the electrical field. The current density that results depends on the electrical field and the properties of the material. In some materials, including metals at a given temperature, the current density is approximately proportional to the electrical field. In these cases, the current density can be modeled as:
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Resistance01:19

Resistance

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When a current moves through any conductor, the conductor causes some level of difficulty for the current to flow. The measure of that difficulty is known as the resistance of the material and is represented by R. Every material has its own resistance. In the case of conductors, heat is emitted whenever a current passes through them. Resistance depends on the resistivity of the material. Resistivity is a characteristic of the material used to fabricate electrical components, whereas the...
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Equivalent Resistance01:16

Equivalent Resistance

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In circuit analysis, situations often arise where resistors are neither in series nor parallel configurations. To tackle such scenarios, three-terminal equivalent networks like the wye (Y) (Figure 1 (a)) or tee (T) and delta (Δ) (Figure 1 (b)) or pi (π) networks come into play. These networks offer versatile solutions and are frequently encountered in various applications, including three-phase electrical systems, electrical filters, and matching networks.
976
Resistance and Conductance01:25

Resistance and Conductance

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A conductor's DC resistance at a given temperature is influenced by its resistivity, length, and cross-sectional area. Resistivity is an inherent property of the conductor material, with annealed copper serving as the international standard for measurement. For instance, the resistivity of hard-drawn aluminum at 20 degrees Celsius is 61% of the standard conductivity of annealed copper.
Various factors impact the resistance of a conductor. Spiraling in stranded conductors increases their...
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Rolling Resistance01:21

Rolling Resistance

640
When a solid cylinder rolls steadily on a rigid surface, the normal force applied by the surface on the cylinder is perpendicular to the tangent at the contact point. However, since no materials are entirely rigid, the surface's reaction to the cylinder involves a range of normal pressures.
For instance, imagine a hard cylinder rolling on a comparatively soft surface. The cylinder's weight compresses the surface beneath it. As the cylinder moves, the material in front of it slows down due to...
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Vascular Resistance01:20

Vascular Resistance

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Vascular resistance is a critical concept in understanding blood flow dynamics in the circulatory system. It refers to the resistance that blood encounters as it flows through the blood vessels. This resistance is a key factor in determining blood pressure and cardiac workload.
The primary determinants of vascular resistance are vessel diameter, blood viscosity, and vessel length. Among these, vessel diameter plays the most significant role due to the fourth power relationship described by...
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Updated: Jan 29, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

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Drug repurposing to combat multidrug-resistant hookworm.

Elise L McKean1, Catherine A Jackson2, Abigail Dowd1

  • 1Department of Biological Sciences, The George Washington University, Washington, DC 20052, USA.

Biology Open
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

Anthelmintic resistance is a growing problem. Machine learning identified flutamide, a prostate cancer drug, as effective against drug-resistant hookworm, offering a new therapeutic avenue.

Keywords:
Ancylostoma caninumAnthelmintic resistanceDrug repurposingHookwormMachine learning

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Area of Science:

  • Parasitology
  • Drug Discovery
  • Computational Biology

Background:

  • Anthelmintic resistance (AR) threatens soil-transmitted helminth control, particularly with benzimidazole-reliant mass drug administration (MDA).
  • There is an urgent need for novel therapeutics to combat multi-anthelmintic drug-resistant (MADR) helminths.

Purpose of the Study:

  • To develop a machine learning (ML)-guided drug repurposing pipeline to identify compounds effective against a MADR isolate of Ancylostoma caninum.
  • To accelerate the discovery of new treatments for AR.

Main Methods:

  • Trained ML classifiers on curated anthelmintic datasets.
  • Screened approved drugs from DrugBank using the ML pipeline.
  • Validated selected compounds through egg hatch assays (EHA), larval development assays (LDA), and adult survival assays.

Main Results:

  • Flutamide, a nonsteroidal antiandrogen, showed potent activity against MADR hookworm.
  • Flutamide demonstrated specific activity against egg and larval stages, inhibiting egg hatching and arresting larval development.
  • The drug exhibited concentration-dependent effects.

Conclusions:

  • Drug repurposing is a valuable strategy for discovering therapeutics against MADR helminths.
  • Flutamide shows promise as a potential treatment for drug-resistant hookworm infections.
  • This study highlights the translational potential of computational approaches in addressing critical public health challenges.