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

Molecular Models02:00

Molecular Models

37.5K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
37.5K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

35.7K
VSEPR Theory for Determination of Electron Pair Geometries
35.7K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

438
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
438
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

386
Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
386
Optimization Problems01:26

Optimization Problems

220
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
220
Methods of Medium Optimization01:28

Methods of Medium Optimization

70
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
70

You might also read

Related Articles

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

Sort by
Same author

Community Integration as a Key Role of the Rural Primary Care Physical Therapist: A Qualitative Case Study.

Physical therapy·2026
Same author

Once yearly cell-based therapy for sustained and dose tunable delivery of monoclonal antibodies.

bioRxiv : the preprint server for biology·2026
Same author

eHealth4U: A pathway from the Cyprus eHealth law to a citizen-centred national EHR prototype interoperable with myHealth@EU and international patient summary.

Digital health·2026
Same author

Clinical Handover as Craft, Not Checklist.

Emergency medicine Australasia : EMA·2026
Same author

Anticoagulation Practices Surrounding Emergency Department Cardioversion for Atrial Fibrillation and Flutter.

Emergency medicine Australasia : EMA·2026
Same author

Microbial communities in semi-mature oak trees are resilient to drought, nutrient limitation, and pathogen challenge.

Cell host & microbe·2026
Same journal

Microreactors for continuous processing – How close to commercial utility?

Current opinion in drug discovery & development·2010
Same journal

Synthesis of polyketide natural products and analogs as promising anticancer agents.

Current opinion in drug discovery & development·2010
Same journal

Enantioselective synthesis of substituted oxindoles and spirooxindoles with applications in drug discovery.

Current opinion in drug discovery & development·2010
Same journal

Eliminating pharmaceutical impurities: Recent advances in detection techniques.

Current opinion in drug discovery & development·2010
Same journal

Stereoselective heterocycle synthesis through oxidative carbon-hydrogen bond activation.

Current opinion in drug discovery & development·2010
Same journal

Catalysis in aqueous media for the synthesis of drug-like molecules.

Current opinion in drug discovery & development·2010
See all related articles

Related Experiment Video

Updated: May 3, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 10, 2012

12.6K

Molecular optimization using computational multi-objective methods.

Christos A Nicolaou1, Nathan Brown, Constantinos S Pattichis

  • 1Department of Computer Science, University of Cyprus, PO Box 20537, 75 Kallipoleos Str, Nicosia CY-1678, Cyprus. cnicolaou@cs.ucy.ac.cy

Current Opinion in Drug Discovery & Development
|June 9, 2007
PubMed
Summary
This summary is machine-generated.

Drug discovery involves optimizing many competing molecular properties. Multi-objective optimization (MOOP) offers a new approach by simultaneously balancing trade-offs, unlike traditional single-objective optimization (SOOP).

More Related Videos

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

16.2K
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

13.5K

Related Experiment Videos

Last Updated: May 3, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 10, 2012

12.6K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

16.2K
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

13.5K

Area of Science:

  • Chemoinformatics
  • Computational Chemistry
  • Drug Discovery

Background:

  • Drug profiling requires optimizing multiple, often conflicting, molecular objectives.
  • Traditional chemoinformatics methods use single-objective optimization (SOOP), focusing on one property at a time.
  • SOOP assumes individual optima align, which is often untrue for complex drug discovery objectives.

Purpose of the Study:

  • Introduce multi-objective optimization (MOOP) as a superior approach for drug discovery.
  • Explain the challenges and benefits of MOOP in chemoinformatics.
  • Survey the current applications of MOOP methods in the field.

Main Methods:

  • Review of single-objective optimization (SOOP) limitations in drug discovery.
  • Introduction to multi-objective optimization (MOOP) principles and concepts.
  • Survey of existing literature on MOOP applications in chemoinformatics.

Main Results:

  • MOOP addresses the simultaneous optimization of numerous, competing objectives in drug discovery.
  • MOOP identifies a set of satisfactory compromises, leading to a more globally optimal solution.
  • MOOP methods are emerging as a powerful tool in chemoinformatics.

Conclusions:

  • MOOP provides a more effective framework for molecular profiling compared to SOOP.
  • Balancing trade-offs through MOOP is crucial for successful drug discovery.
  • Further exploration and application of MOOP in chemoinformatics are warranted.