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

52.3K
Overview
52.3K
Microorganisms in Medicine and Therapeutics01:29

Microorganisms in Medicine and Therapeutics

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.
Development of Antibiotic Resistance01:30

Development of Antibiotic Resistance

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...
Combined Effects of Drugs: Synergism01:27

Combined Effects of Drugs: Synergism

3.7K
Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
3.7K
Gene Regulation in Microbial Communities: Quorum Sensing01:28

Gene Regulation in Microbial Communities: Quorum Sensing

1
Quorum sensing is a mechanism of bacterial communication that enables coordinated gene expression in response to changes in population density. This facilitates collective behaviors that enhance survival, resource acquisition, and ecological adaptation. This process relies on small signaling molecules called autoinducers that accumulate as bacterial populations grow. When a critical threshold concentration of autoinducers is reached, bacterial cells collectively modify gene expression,...
1
The Central Dogma01:20

The Central Dogma

20.5K
The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...
20.5K

You might also read

Related Articles

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

Sort by
Same author

Discovery of novel antimicrobials within microbiomes.

Current opinion in microbiology·2026
Same author

Deep learning reveals antimicrobial peptides within prions.

Nature microbiology·2026
Same author

Correction: Molecular response to the non-lytic peptide bac7 (1-35) triggers disruption of Klebsiella pneumoniae biofilm.

PLoS pathogens·2026
Same author

Generative modeling for RNA splicing prediction and design.

eLife·2026
Same author

A generative artificial intelligence approach for peptide antibiotic optimization.

Nature machine intelligence·2026
Same author

From generation to validation: Deep generative models for antimicrobial peptide discovery.

Current opinion in chemical biology·2026
Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026
Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026
Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026
Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026
Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026
Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2025

Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection
10:50

Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection

Published on: September 27, 2016

9.7K

A generative artificial intelligence approach for antibiotic optimization.

Marcelo D T Torres, Yimeng Zeng, Fangping Wan

    Biorxiv : the Preprint Server for Biology
    |December 9, 2024
    PubMed
    Summary
    This summary is machine-generated.

    A new artificial intelligence (AI) framework, APEX Generative Optimization (APEX GO), designs novel antimicrobial peptides to combat antimicrobial resistance (AMR). This AI approach accelerates the discovery of effective peptide-based antibiotics.

    More Related Videos

    Visual and Microscopic Evaluation of Streptomyces Developmental Mutants
    08:42

    Visual and Microscopic Evaluation of Streptomyces Developmental Mutants

    Published on: September 12, 2018

    17.9K
    The Logic, Experimental Steps, and Potential of Heterologous Natural Product Biosynthesis Featuring the Complex Antibiotic Erythromycin A Produced Through E. coli
    10:41

    The Logic, Experimental Steps, and Potential of Heterologous Natural Product Biosynthesis Featuring the Complex Antibiotic Erythromycin A Produced Through E. coli

    Published on: January 13, 2013

    18.5K

    Related Experiment Videos

    Last Updated: Jun 5, 2025

    Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection
    10:50

    Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection

    Published on: September 27, 2016

    9.7K
    Visual and Microscopic Evaluation of Streptomyces Developmental Mutants
    08:42

    Visual and Microscopic Evaluation of Streptomyces Developmental Mutants

    Published on: September 12, 2018

    17.9K
    The Logic, Experimental Steps, and Potential of Heterologous Natural Product Biosynthesis Featuring the Complex Antibiotic Erythromycin A Produced Through E. coli
    10:41

    The Logic, Experimental Steps, and Potential of Heterologous Natural Product Biosynthesis Featuring the Complex Antibiotic Erythromycin A Produced Through E. coli

    Published on: January 13, 2013

    18.5K

    Area of Science:

    • Computational chemistry and drug discovery
    • Artificial intelligence in medicine
    • Antimicrobial peptide design

    Background:

    • Antimicrobial resistance (AMR) is a critical global health threat requiring novel antibiotic discovery strategies.
    • Experimental optimization of antimicrobial peptides is challenging due to unpredictable and resource-intensive trial-and-error methods.
    • Existing methods often rely on screening fixed databases, limiting the discovery of truly novel agents.

    Purpose of the Study:

    • To introduce APEX Generative Optimization (APEX GO), a generative AI framework for designing and optimizing antimicrobial peptides.
    • To demonstrate a paradigm shift in peptide design by generating novel sequences beyond existing databases.
    • To provide the first in vitro and in vivo experimental validation of generative Bayesian optimization for peptide design.

    Main Methods:

    • Developed APEX GO, integrating a transformer-based variational autoencoder with Bayesian optimization.
    • Incorporated design and diversity constraints into the variational autoencoder for controlled sequence innovation.
    • Utilized ten de-extinct peptides as templates for generating novel antimicrobial peptide derivatives.

    Main Results:

    • APEX GO achieved an 85% ground-truth experimental hit rate and a 72% success rate in enhancing antimicrobial activity against Gram-negative pathogens.
    • Synthesized and characterized 100 AI-optimized peptides, evaluating antimicrobial activity, mechanism of action, secondary structure, and cytotoxicity.
    • Several AI-optimized peptides, particularly derivatives of mammuthusin-3 and mylodonin-2, showed potent in vivo anti-infective activity against Acinetobacter baumannii in mouse models, comparable to polymyxin B.

    Conclusions:

    • APEX GO represents a novel generative AI approach for accelerated peptide design and antibiotic optimization.
    • The framework successfully generated optimized antimicrobial peptides with enhanced efficacy and validated their performance in vitro and in vivo.
    • APEX GO offers a powerful tool to address the escalating challenge of antimicrobial resistance by discovering new peptide-based antibiotics.