Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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...
Biopharmaceutical Factors Influencing Drug Product Design: Overview01:22

Biopharmaceutical 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...
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...
Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Infectious complications after second allogeneic hematopoietic cell transplant in adult patients with hematological malignancies.

Bone marrow transplantation·2022
Same author

Invasive Fungal Disease in Patients with Newly Diagnosed Acute Myeloid Leukemia.

Journal of fungi (Basel, Switzerland)·2021
Same author

Breast cancer screening in patients with cancers other than breast.

Breast cancer research and treatment·2017
Same author

Harmonizing biosecurity oversight for gene synthesis.

Nature biotechnology·2010
Same author

Parts, property and sharing.

Nature biotechnology·2009
Same author

Before it's too late. Why synthetic biologists need an open-parts collaboration--and how to build one.

EMBO reports·2009
Same journal

Recent advances in 1,3,5-triazine-based PI3K inhibitors for cancer therapy: a comprehensive review.

Future medicinal chemistry·2026
Same journal

Indole-based carbohydrazides as potent anti-proliferative leads and tubulin polymerization inhibitors: design, synthesis, cytotoxic evaluation, <i>in silico</i> ADMET and docking studies.

Future medicinal chemistry·2026
Same journal

Recent advances in the development of small molecule STK33 inhibitors.

Future medicinal chemistry·2026
Same journal

Biological evaluation and molecular docking of previously reported pyrazolo-thiazole derivatives as dual α-amylase and α-glucosidase inhibitors.

Future medicinal chemistry·2026
Same journal

Coumarin derivatives as antidiabetic agents: a comprehensive review on mechanistic insights, structure-activity relationships, <i>in silico</i> studies, and challenges.

Future medicinal chemistry·2026
Same journal

Expanding the tetrazole space: medicinal chemistry, biological diversity and structure-activity relationships.

Future medicinal chemistry·2026
See all related articles

Related Experiment Video

Updated: May 11, 2026

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

Open source drug collaborations: a rational design approach.

Stephen M Maurer1

  • 1Goldman School of Public Policy & Berkley Law School, University of California Berkley, CA, USA. smaurer@law.berkeley.edu

Future Medicinal Chemistry
|May 21, 2013
PubMed
Summary
This summary is machine-generated.

Open source (OS) methods show potential for drug discovery, despite initial disappointment. This review balances perspectives, identifying specific tasks where OS excels and suggesting modifications for effective pharmaceutical innovation.

More Related Videos

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

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

Published on: December 11, 2016

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

Related Experiment Videos

Last Updated: May 11, 2026

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

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

Published on: December 11, 2016

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

Area of Science:

  • Biotechnology
  • Pharmaceutical Sciences
  • Open Source Innovation

Background:

  • Initial optimism for open source (OS) methods in drug discovery has waned.
  • Some scholars now view OS methods and drug discovery as incompatible.

Purpose of the Study:

  • To argue for a balanced perspective on OS methods in drug discovery.
  • To review economic insights into the strengths and weaknesses of OS methods.
  • To identify specific drug discovery tasks where OS methods are most effective.

Main Methods:

  • Economic analysis of OS methods versus conventional institutions.
  • Review of existing literature on OS collaborations and drug discovery.
  • Identification of suitable segments within the drug discovery pipeline for OS application.

Main Results:

  • OS methods present both advantages and disadvantages compared to traditional approaches.
  • OS methods are particularly effective for specific drug discovery tasks where commercial methods falter.
  • Successful OS collaborations require strategic focus on advantageous pipeline segments.

Conclusions:

  • A balanced approach is needed, leveraging OS strengths for specific drug discovery challenges.
  • Existing OS software models can be adapted for effective drug discovery.
  • Strategic implementation can enhance the role of OS in pharmaceutical innovation.