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

Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

270
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...
270
Peptide Bonds02:43

Peptide Bonds

82.4K
A peptide bond covalently attaches amino acids through a dehydration reaction. One amino acid's carboxyl group and another amino acid's amino group combine, releasing a water molecule. The resulting bond is the peptide bond. The products that such linkages form are peptides. As more amino acids join this growing chain, the resulting chain is a polypeptide. Each polypeptide has a free amino group at one end. This end has the N-terminal, or the amino-terminal, and the other end has a free...
82.4K
Group Design02:01

Group Design

10.3K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.3K
Antimicrobial Effectiveness01:28

Antimicrobial Effectiveness

922
The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...
922
Factorial Design02:01

Factorial Design

13.7K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.7K
Antimicrobial Proteins01:23

Antimicrobial Proteins

13.1K
Antimicrobial proteins are important components of the immune system. They aid the body in combating pathogens by either killing them directly or hindering their replication processes. Four main types of antimicrobial substances are interferons, the complement system, iron-binding proteins, and antimicrobial proteins.
Interferons
Interferons (IFNs) are proteins produced by lymphocytes, macrophages, and fibroblasts infected with viruses. While IFNs cannot prevent viruses from entering and...
13.1K

You might also read

Related Articles

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

Sort by
Same author

APD6: the antimicrobial peptide database is expanded to promote research and development by deploying an unprecedented information pipeline.

Nucleic acids research·2025
Same author

Mechanistic Insights into Human Antimicrobial Peptide-Induced Activation of a Broadly Conserved Bacterial Signaling System.

bioRxiv : the preprint server for biology·2025
Same author

Origami of KR-12 Designed Antimicrobial Peptides and Their Potential Applications.

Antibiotics (Basel, Switzerland)·2024
Same author

Bioinspiration and biomimetics in marine robotics: a review on current applications and future trends.

Bioinspiration & biomimetics·2024
Same author

Enhanced Antimicrobial Screening Sensitivity Enabled the Identification of an Ultrashort Peptide KR-8 for Engineering of LL-37mini to Combat Drug-Resistant Pathogens.

ACS infectious diseases·2023
Same author

The antimicrobial peptide database is 20 years old: Recent developments and future directions.

Protein science : a publication of the Protein Society·2023
Same journal

Nanotechnology to Break the Antimicrobial Resistance.

ACS infectious diseases·2026
Same journal

Influenza A Virus Binding to α,2-3- and α,2-8-Linked Sialo-Gangliosides Reconstituted in Phase-Separated Vesicles.

ACS infectious diseases·2026
Same journal

<i>In Vivo</i> Activity of Antimicrobial Peptoid Oligomers against HSV-1 in a Mouse Model of Herpes Labialis.

ACS infectious diseases·2026
Same journal

Antimicrobial Peptides and Biofilms: From Molecular Interactions to Therapeutic Control.

ACS infectious diseases·2026
Same journal

Comparative Phenotypic Screening Identifies Protein Synthesis Inhibitors as Compounds That Enhance Early Acidification of <i>Mycobacterium tuberculosis</i> in Macrophages.

ACS infectious diseases·2026
Same journal

Correction to "<i>Treponema pallidum</i> Flagellin FlaB3 Activates Inflammation and Inhibits Autophagy in HMC3 Cells via the TLR4 Pathway".

ACS infectious diseases·2026
See all related articles

Related Experiment Video

Updated: Jan 22, 2026

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
08:01

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach

Published on: August 24, 2018

9.4K

One-Step Design of Potent and Nonhemolytic Antimicrobial Peptides by Using a Database-Guided, Nonmachine Learning

Abraham F Mechesso1, Arjun R Nair1, Guangshun Wang1

  • 1Department of Pathology, Microbiology and Immunology, College of Medicine, University of Nebraska Medical Center, 985900 Nebraska Medical Center, Omaha, Nebraska 68198-5900, United States.

ACS Infectious Diseases
|January 20, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed novel antimicrobial peptides using a database-guided approach, effectively targeting Gram-negative bacteria and inhibiting biofilms. One nonhemolytic peptide showed high potency without toxicity, highlighting a promising strategy against antibiotic resistance.

Keywords:
APD6antibiofilmantimicrobial peptidescytotoxicitypeptide design

More Related Videos

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Antimicrobial Peptides Produced by Selective Pressure Incorporation of Non-canonical Amino Acids
11:56

Antimicrobial Peptides Produced by Selective Pressure Incorporation of Non-canonical Amino Acids

Published on: May 4, 2018

13.0K

Related Experiment Videos

Last Updated: Jan 22, 2026

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
08:01

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach

Published on: August 24, 2018

9.4K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Antimicrobial Peptides Produced by Selective Pressure Incorporation of Non-canonical Amino Acids
11:56

Antimicrobial Peptides Produced by Selective Pressure Incorporation of Non-canonical Amino Acids

Published on: May 4, 2018

13.0K

Area of Science:

  • Biochemistry and Molecular Biology
  • Microbiology and Infectious Diseases
  • Drug Discovery and Development

Background:

  • The urgent need for new antibiotics is driven by the escalating global antibiotic resistance crisis.
  • Antimicrobial peptides (AMPs) are promising candidates due to their high potency and low resistance development potential.
  • Existing antimicrobial peptide databases facilitate peptide prediction and design, with both AI and non-AI methods explored.

Purpose of the Study:

  • To design novel antimicrobial peptides using a database-guided approach, bypassing the 'black box' nature of AI.
  • To leverage the classification of peptides into hemolytic and nonhemolytic groups for targeted design.
  • To evaluate the efficacy, safety, and mechanism of action of designed peptides against bacterial pathogens.

Main Methods:

  • A database-guided peptide design strategy was employed, utilizing the antimicrobial peptide database (APD6) classification.
  • Designed peptides were tested for activity against Gram-negative (Escherichia coli, Acinetobacter baumannii) and Gram-positive bacteria (Staphylococcus aureus, Staphylococcus epidermidis, Bacillus subtilis).
  • Inhibition of bacterial attachment, biofilm formation, and disruption of preformed biofilms were assessed. Hemolysis assays evaluated peptide toxicity. Mechanistic studies involved membrane permeabilization and depolarization assays.

Main Results:

  • Designed peptides demonstrated rapid killing of Gram-negative bacteria but were inactive against Gram-positive bacteria tested.
  • Peptides inhibited bacterial attachment, biofilm formation, and disrupted established biofilms.
  • YZ200, designed from the nonhemolytic group, exhibited potent antimicrobial activity without hemolysis, while YZ201 (hemolytic group) showed toxicity. Higher hydrophobicity was observed in the hemolytic group. Mechanistic studies indicated membrane permeabilization and depolarization.

Conclusions:

  • A database-guided approach successfully yielded potent antimicrobial peptides with specific activity against Gram-negative bacteria and biofilm inhibition.
  • Peptide design based on nonhemolytic classifications can yield potent and non-toxic antimicrobial agents, as exemplified by YZ200.
  • The study underscores the value of curated data in peptide design and suggests future AI models can be improved by incorporating such experimental data for better prediction of activity and toxicity.