Early Drug Discovery
Examines early drug discovery: target ID/validation, library generation, HTS, lead optimization, and drug delivery.
Summary
Lectures are small, with a median of 23 enrolled students in the recorded sections.
What you’ll be able to do
Assess the early drug discovery process and key steps, from target identification to nonclinical trials.
Determine the scientific mechanism of one or more disease processes and assess how modulation of that target could treat or prevent a disease.
Compare current and emerging methods for generating compound diversity in chemical libraries, natural products, and antibodies, including molecular modeling and structure-based drug design.
Evaluate a technology used in drug discovery, understand the unmet need it addresses, and summarize the key information in a clear and concise way, both verbally and in a written format.
Source: UW Guide
Grade history
↗No recorded grade history.
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Prerequisites
Course mapDeclared in Biotechnology MS
- Declared in Biotechnology MS
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Prerequisite text tree
- Declared in Biotechnology MS
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Examine the early drug discovery process, including target identification and validation, generation of diverse chemical libraries, assay development and high throughput screening, lead optimization by compound profiling, and drug targeting and delivery.
difficulty & workload
No workload feedback recorded.
Topics
- Target identification and validation
- Generation of diverse chemical libraries
- Assay development and high throughput screening
- Lead optimization by compound profiling
- Drug targeting and delivery
- Molecular modeling and structure-based drug design
Skills
- Summarizing key drug discovery information clearly and concisely in verbal and written formats.
- Determining disease mechanisms and assessing target modulation for treatment or prevention.
- Comparing methods for generating compound diversity in libraries, natural products, and antibodies.
Grades
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Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
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Raw records
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "60ced9984a9c2055f78ca12bb75d0e72409de6142da5fdc7d9f6fa3d16955e16",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}