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

Antibiotic Selection00:57

Antibiotic Selection

56.7K
Overview
56.7K
Development of Antibiotic Resistance01:30

Development of Antibiotic Resistance

541
Antibiotic resistance is a major public health concern that arises when bacteria evolve mechanisms to withstand the effects of antibiotic treatments. This resistance can be intrinsic, acquired through genetic mutations, or transferred between bacteria via horizontal gene transfer. The development of antibiotic resistance poses significant challenges in treating bacterial infections and necessitates ongoing research to develop new therapeutic strategies.Intrinsic resistance occurs when bacterial...
541
Drug Discovery: Overview01:26

Drug Discovery: Overview

9.6K
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...
9.6K
Microorganisms in Medicine and Therapeutics01:29

Microorganisms in Medicine and Therapeutics

519
Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.
519

You might also read

Related Articles

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

Sort by
Same author

Deep learning reveals antimicrobial peptides within prions.

Nature microbiology·2026
Same author

A generative artificial intelligence approach for peptide antibiotic optimization.

Nature machine intelligence·2026
Same author

Exploring and expanding the chemical multiverse of peptides.

Chemical science·2026
Same author

Protease-Resistant Azapeptide GLP-1 Analogue Improves Metabolic Control in Diet-Induced Obesity.

bioRxiv : the preprint server for biology·2025
Same author

Integrative machine learning predicts activating kinase mutations for precision oncology.

bioRxiv : the preprint server for biology·2025
Same author

Design of multimodal antibiotics using deep learning.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Oct 20, 2025

Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance
09:59

Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance

Published on: July 21, 2023

1.5K

Accelerating antibiotic discovery through artificial intelligence.

Marcelo C R Melo1,2,3, Jacqueline R M A Maasch1,2,3,4, Cesar de la Fuente-Nunez5,6,7

  • 1Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Communications Biology
|September 10, 2021
PubMed
Summary

Artificial intelligence (AI) accelerates the discovery of new antibiotics by predicting antimicrobial activity and designing novel compounds. Open science practices are crucial for overcoming antimicrobial resistance and advancing drug development.

More Related Videos

Antibiotic Dereplication Using the Antibiotic Resistance Platform
10:49

Antibiotic Dereplication Using the Antibiotic Resistance Platform

Published on: October 17, 2019

11.1K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.9K

Related Experiment Videos

Last Updated: Oct 20, 2025

Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance
09:59

Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance

Published on: July 21, 2023

1.5K
Antibiotic Dereplication Using the Antibiotic Resistance Platform
10:49

Antibiotic Dereplication Using the Antibiotic Resistance Platform

Published on: October 17, 2019

11.1K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.9K

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Microbiology

Background:

  • Antibiotic resistance is a growing global health crisis, necessitating novel therapeutic strategies.
  • The traditional antibiotic development pipeline is slow, expensive, and struggles to keep pace with evolving pathogens.
  • Artificial intelligence (AI) offers promising computational approaches to expedite the discovery of new antimicrobial agents.

Purpose of the Study:

  • To review AI-facilitated advances in the discovery of small molecule antibiotics and antimicrobial peptides.
  • To highlight AI applications beyond predicting antimicrobial activity, including compound representation, drug-likeness, resistance prediction, and de novo design.
  • To analyze the adoption of open science practices in AI-driven antibiotic discovery and advocate for their acceleration of preclinical research.

Main Methods:

  • Literature review of AI applications in antibiotic discovery.
  • Analysis of AI techniques for antimicrobial compound representation and de novo design.
  • Assessment of open science best practices in the field.

Main Results:

  • AI is increasingly applied to various facets of antibiotic discovery, including activity prediction, compound design, and resistance analysis.
  • AI facilitates the exploration of novel chemical spaces for small molecule antibiotics and antimicrobial peptides.
  • Open science principles are underutilized but essential for rapid progress in AI-driven antibiotic discovery.

Conclusions:

  • AI holds significant potential to accelerate the discovery and development of new antibiotics to combat the antimicrobial resistance crisis.
  • Integrating AI with open science practices can enhance reproducibility and expedite preclinical research.
  • Future research should focus on further leveraging AI for comprehensive antibiotic development, from discovery to clinical application.