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

Drug Discovery: Overview01:26

Drug Discovery: Overview

11.3K
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...
11.3K
Antibiotic Selection00:57

Antibiotic Selection

59.6K
Overview
59.6K
Machines01:19

Machines

564
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
564
Power01:08

Power

12.9K
The concept of work involves force and displacement; meanwhile, the work-energy theorem relates the net work done on a body to the difference in its kinetic energy, calculated between two points on its trajectory. While none of these quantities or relations involves time explicitly, we know that the time available to accomplish work is often just as important as the amount of work itself. For example, sprinters in a race may have achieved the same velocity at the finish, therefore,...
12.9K
Machines: Problem Solving II01:30

Machines: Problem Solving II

656
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
656
Machines: Problem Solving I01:22

Machines: Problem Solving I

703
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
703

You might also read

Related Articles

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

Sort by
Same author

The landscape of serum autoantibodies in lupus nephritis.

Autoimmunity reviews·2026
Same author

Distinct immune trajectories after severe trauma identify a Th17-biased immunophenotype in chronic critical illness.

Journal of immunology (Baltimore, Md. : 1950)·2026
Same author

Detecting Inter-Individual Contamination and Mismatches in Multiomics Next-Generation Sequencing Data.

Journal of visualized experiments : JoVE·2026
Same author

Correction: Artificial intelligence-based analysis of retinal fluid volume dynamics in neovascular age-related macular degeneration and association with vision and atrophy.

Eye (London, England)·2026
Same author

Efficacy of melflufen in multiple myeloma with mutated or deleted TP53.

Experimental hematology & oncology·2025
Same author

An unbiased whole-genome open reading frame overexpression screen identifies B3GALT2, a novel inducer of cellular ASO activity.

Molecular therapy. Nucleic acids·2025

Related Experiment Video

Updated: Jan 27, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

11.1K

Machine learning-powered antibiotics phenotypic drug discovery.

Sannah Zoffmann1, Maarten Vercruysse2, Fethallah Benmansour2

  • 1Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland. sannah.jensen_zoffmann@roche.com.

Scientific Reports
|March 23, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel bacterial phenotypic fingerprint (BPF) platform combined with machine learning to identify new antibiotics. This approach enhances drug discovery by analyzing diverse cellular responses beyond growth inhibition.

More Related Videos

Examination of Host Phenotypes in Gambusia affinis Following Antibiotic Treatment
09:25

Examination of Host Phenotypes in Gambusia affinis Following Antibiotic Treatment

Published on: February 22, 2017

8.0K
Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.1K

Related Experiment Videos

Last Updated: Jan 27, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

11.1K
Examination of Host Phenotypes in Gambusia affinis Following Antibiotic Treatment
09:25

Examination of Host Phenotypes in Gambusia affinis Following Antibiotic Treatment

Published on: February 22, 2017

8.0K
Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.1K

Area of Science:

  • Microbiology
  • Drug Discovery
  • Bioinformatics

Background:

  • Identifying novel antibiotics is a critical challenge in modern medicine.
  • Traditional screening methods often overlook compounds with novel mechanisms of action.

Purpose of the Study:

  • To develop and validate a multiparametric phenotypic profiling approach for antibiotic discovery.
  • To leverage machine learning for analyzing complex biological data and predicting compound activity.
  • To enable the identification and optimization of weak antibacterial hits.

Main Methods:

  • Utilized a semi-automated bacterial phenotypic fingerprint (BPF) profiling platform.
  • Integrated multiparametric high-content screening with genomic data.
  • Employed machine learning for dataset analysis, compound classification, and mode of action prediction.

Main Results:

  • Successfully narrowed down and predicted compound modes of action (MoA).
  • Demonstrated the ability to identify and exploit weak antibacterial hits.
  • Showcased the utility of the BPF classification tool in guiding structure-activity relationship optimization.
  • Validated the approach's applicability across different bacterial species.

Conclusions:

  • The BPF classification tool effectively aids in identifying novel antibacterial compounds and differentiating their MoA.
  • This approach expands the chemical space for antibiotic development and can be applied to primary screening.
  • The methodology holds potential for broader applications in phenotypic drug discovery for various diseases.