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

Anthelminthic Agents01:15

Anthelminthic Agents

45
Anthelmintic drugs differ significantly from antiparasitic therapies targeting protozoa, primarily due to differences in parasite biology. Whereas most protozoal treatments act on proliferating cells, anthelmintics are typically directed against mature, nonproliferative helminths. The therapeutic approach considers the helminth's reliance on neuromuscular coordination, glucose metabolism, and microtubular integrity for survival, reproduction, and localization within the host. Most anthelmintics...
45
Drug Discovery: Overview01:26

Drug Discovery: Overview

13.2K
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...
13.2K

You might also read

Related Articles

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

Sort by
Same author

DYNO-MILL-Assisted Mechanochemistry: Design of Experiments Optimization for Sustainable Synthesis of Pyrrolo[3,4-c]pyrazoles.

ChemSusChem·2026
Same author

Persistent homology filtration grounded on higher-order complex networks centrality measures.

Chaos (Woodbury, N.Y.)·2026
Same author

Catalyst-Free Electro-photochemical Hydroalkylation of <i>N</i>‑Aryl Maleimides via Alternate Electrode Electrolysis: A Sustainable Route to <i>N</i>‑Aryl Succinimides with Quaternary Center.

JACS Au·2026
Same author

Visible Light Induced One-pot Synthesis of Spirocyclopropyl Oxindoles from Isatin Derivatives and Glycine Ester Hydrochloride.

Chimia·2025
Same author

Substituted Diaziridines via [2 + 1] Annulation of Dialkyl Azodicarboxylates with Diazo Esters and <i>In Situ</i> Pyridinium Ylides.

The Journal of organic chemistry·2025
Same author

Photolytic <i>ortho</i>-Selective Amino Pyridylation of Aryl Isocyanates with <i>N</i>-Amino Pyridinium Ylides for the Synthesis of <i>N</i>-Arylsulfonyl Ureas.

The Journal of organic chemistry·2024

Related Experiment Video

Updated: Mar 28, 2026

Ookluc: A Plasmodium berghei Line for Identifying Transmission-blocking Compounds
07:14

Ookluc: A Plasmodium berghei Line for Identifying Transmission-blocking Compounds

Published on: July 11, 2025

624

Innovative techniques to discover novel antimalarials.

Santanu Hati1, Sudeepto Bhattacharya2, Subhabrata Sen1

  • 1Department of Chemistry, School of Natural Science, Shiv Nadar University, Tehsil Dadri, Chithera, Gautam Budhnagar, 201314 UP India.

Systems and Synthetic Biology
|December 25, 2015
PubMed
Summary

Genetic algorithms (GAs) offer a novel computational approach to combat malaria drug discovery. These evolutionary models accelerate the search for potential cures, addressing the global health crisis.

Keywords:
Genetic algorithmMalariaMetaheuristicsP. Falciparum

More Related Videos

Assays for the Identification of Novel Antivirals against Bluetongue Virus
12:02

Assays for the Identification of Novel Antivirals against Bluetongue Virus

Published on: October 11, 2013

14.7K
Standard Membrane Feeding Assay for the Detection of Plasmodium falciparum Infection in Anopheles Mosquito Vectors
05:28

Standard Membrane Feeding Assay for the Detection of Plasmodium falciparum Infection in Anopheles Mosquito Vectors

Published on: May 12, 2022

3.8K

Related Experiment Videos

Last Updated: Mar 28, 2026

Ookluc: A Plasmodium berghei Line for Identifying Transmission-blocking Compounds
07:14

Ookluc: A Plasmodium berghei Line for Identifying Transmission-blocking Compounds

Published on: July 11, 2025

624
Assays for the Identification of Novel Antivirals against Bluetongue Virus
12:02

Assays for the Identification of Novel Antivirals against Bluetongue Virus

Published on: October 11, 2013

14.7K
Standard Membrane Feeding Assay for the Detection of Plasmodium falciparum Infection in Anopheles Mosquito Vectors
05:28

Standard Membrane Feeding Assay for the Detection of Plasmodium falciparum Infection in Anopheles Mosquito Vectors

Published on: May 12, 2022

3.8K

Area of Science:

  • Computational biology
  • Drug discovery
  • Bioinformatics

Background:

  • Malaria remains a significant global health challenge, affecting millions worldwide.
  • There is an urgent need for effective antimalarial treatments to combat the disease's spread.
  • Traditional drug discovery methods face challenges in identifying novel therapeutic agents.

Purpose of the Study:

  • To explore the role and impact of genetic algorithms (GAs) in accelerating malaria drug discovery.
  • To provide a comprehensive overview of GA applications, benefits, and limitations in the context of antimalarial drug development.
  • To discuss future prospects of GAs in addressing the malaria pandemic.

Main Methods:

  • Review of existing literature on genetic algorithm applications in drug discovery.
  • Analysis of GA principles, including genetic variation and natural selection, for optimization problems.
  • Discussion of GA's search space exploration for identifying potential drug candidates.

Main Results:

  • Genetic algorithms provide a powerful computational framework for optimizing drug candidate selection.
  • GAs mimic evolutionary principles to efficiently navigate vast chemical spaces in drug discovery.
  • The commentary highlights the potential of GAs to expedite the development of new malaria cures.

Conclusions:

  • Genetic algorithms represent a promising computational tool for advancing malaria drug discovery efforts.
  • The strategic application of GAs can significantly contribute to overcoming the challenges posed by malaria.
  • Further research into GA optimization is crucial for developing next-generation antimalarial therapies.