Spring 2027

Cns Drug Designs, Actions, and Applications II

CNS Drug Designs, Actions, and Applications II examines molecular and anatomical factors influencing drugs acting on GABAergic, adrenergic, dopaminergic, serotonergic, and opioid systems.

offering recorded3 credits
Recorded instructors · Spring 2027 Charles LauhonCody Wenthur

Summary

What you’ll be able to do

  • Identify GABAergic, adrenergic, dopaminergic, serotonergic, and opioid drug classes and drug origins based in part on structural aspects of the molecule.

  • Compare and contrast the actions of GABAergic, adrenergic, dopaminergic, serotonergic, and opioid pharmaceuticals on chemical and electrical signaling within the Central Nervous System.

  • Recognize the psychiatric conditions and target symptoms of these conditions that are commonly treated with GABAergic, adrenergic, dopaminergic, serotonergic, and opioid pharmaceuticals.

  • Describe common / serious adverse effects of GABAergic, adrenergic, dopaminergic, serotonergic, and opioid pharmaceuticals and methods for preventing or minimizing their occurrence.

  • Match GABAergic, adrenergic, dopaminergic, serotonergic, and opioid pharmaceutical agents to the psychiatric conditions they are commonly used to treat.

  • Assess challenges to development and use of psychoactive pharmaceuticals that are either shared across major neurotransmitter systems or unique to specific classes of drugs.

Source: UW Guide

Grade history

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average GPA
letter grades

No recorded grade history.

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Prerequisites

Course map

PHM SCI 770 or PHARMACY 770 prior to Fall 2026

  • take one
PHMSCI 771

This is a best-effort interpretation; check the catalog requirements above.

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Professors

Spring 2027
Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist
LEC 001Online Only0 / 600

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Student experience

the class

Applies knowledge regarding the molecular and anatomical factors that influence the actions of central nervous system active drugs to understand the medical applications of drugs acting on the GABAergic, adrenergic, dopaminergic, serotonergic, and opioid systems. Develops written communication skills regarding the integration of chemical, molecular, cellular, and systems information to explain the discovery, development, and applications of these compounds. Not open to students with credit for PHARMACY 771 prior to fall 2026.

difficulty & workload

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Topics

  • GABAergic, adrenergic, dopaminergic, serotonergic, and opioid drug systems
  • Psychiatric conditions and symptoms treated with CNS pharmaceuticals
  • Challenges in development and use of psychoactive pharmaceuticals

Skills

  • Identify CNS drug classes by structure, compare their actions on signaling, and describe adverse effects and prevention methods.

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Catalog observation history

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Selected offering source records
PHMSCI 771 · Spring 2027

CNS Drug Designs, Actions, and Applications II

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:718:025968",
    "course_id": "PHMSCI 771",
    "course_uid": "course_c1d9f1641000e5cbaa1fc340",
    "term_id": "1274",
    "source_course_id": "025968",
    "source_subject_id": "718",
    "title": "CNS Drug Designs, Actions, and Applications II",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "61faa655297dbdce3748160dccb9248d10564d919592f72180766f582f696a69",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}