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

Instrumentation Amplifier01:25

Instrumentation Amplifier

An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...
Resonance and Hybrid Structures02:16

Resonance and Hybrid Structures

According to the theory of resonance, if two or more Lewis structures with the same arrangement of atoms can be written for a molecule, ion, or radical, the actual distribution of electrons is an average of that shown by the various Lewis structures.
Resonance Structures and Resonance Hybrids
The Lewis structure of a nitrite anion (NO2−) may actually be drawn in two different ways, distinguished by the locations of the N–O and N=O bonds.
Amplifying Signals via Enzymatic Cascade01:22

Amplifying Signals via Enzymatic Cascade

When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze the...
Beats01:09

Beats

The study of music provides many examples of the superposition of waves and the constructive and destructive interference that occurs. Very few examples of music being performed consist of a single source playing a single frequency for an extended period of time. A single frequency of sound for an extended period might be monotonous to the point of irritation, similar to the unwanted drone of an aircraft engine or a loud fan. Music is pleasant and exciting due to mixing the changing frequencies...
Korotkoff Sounds01:12

Korotkoff Sounds

Korotkoff sounds are the specific sounds heard while measuring blood pressure using a sphygmomanometer, typically with a stethoscope or a Doppler device. They are named after Russian physician Nikolai Korotkov, who first described them in 1905. These sounds correspond to turbulent blood flow in the artery as the blood pressure cuff is gradually released after inflation.
During blood pressure assessment, inflating the cuff 30 millimeters of mercury above the patient's systolic blood pressure...

You might also read

Related Articles

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

Sort by
Same author

Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli.

PLoS computational biology·2026
Same author

BindPred: a framework for predicting protein-protein binding affinity from language model embeddings.

Bioinformatics (Oxford, England)·2026
Same author

MechFind: a computational framework for de novo prediction of enzyme mechanisms.

Nature communications·2026
Same author

High yield production of 3-hydroxypropionic acid using Issatchenkia orientalis.

Nature communications·2026
Same author

Building an expanded bio-based economy through synthetic biology.

Biotechnology advances·2025
Same author

Metabolic flux and resource balance in the oleaginous yeast Rhodotorula toruloides.

Metabolic engineering·2025
Same journal

Cryo-EM sheds light on the mechanism of human telomerase inhibition by BIBR1532.

Nature chemical biology·2026
Same journal

Artificial metalloenzymes in complex biological environments.

Nature chemical biology·2026
Same journal

Allosteric disordering of eIF2B regulates the integrated stress response.

Nature chemical biology·2026
Same journal

A tail of two ligases.

Nature chemical biology·2026
Same journal

Non-canonical cytochrome P450 enzymes expand the diversity of bacterial hemoproteins.

Nature chemical biology·2026
Same journal

Image-guided activation of drugs with electromagnetic radiation.

Nature chemical biology·2026
See all related articles

Related Experiment Video

Updated: May 18, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Orchestrating hi-fi annotations.

Patrick F Suthers1, Costas D Maranas

  • 1Pennsylvania State University, Department of Chemical Engineering, University Park, PA, USA.

Nature Chemical Biology
|September 19, 2012
PubMed
Summary
This summary is machine-generated.

Global probabilistic methods enhance genome-scale metabolic network annotation. Incorporating sequence homology and context improves biochemical prediction accuracy, guiding experimental validation.

More Related Videos

A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds
10:13

A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds

Published on: November 26, 2012

Postsynaptic Recordings at Afferent Dendrites Contacting Cochlear Inner Hair Cells: Monitoring Multivesicular Release at a Ribbon Synapse
11:45

Postsynaptic Recordings at Afferent Dendrites Contacting Cochlear Inner Hair Cells: Monitoring Multivesicular Release at a Ribbon Synapse

Published on: February 10, 2011

Related Experiment Videos

Last Updated: May 18, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds
10:13

A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds

Published on: November 26, 2012

Postsynaptic Recordings at Afferent Dendrites Contacting Cochlear Inner Hair Cells: Monitoring Multivesicular Release at a Ribbon Synapse
11:45

Postsynaptic Recordings at Afferent Dendrites Contacting Cochlear Inner Hair Cells: Monitoring Multivesicular Release at a Ribbon Synapse

Published on: February 10, 2011

Area of Science:

  • Computational biology
  • Systems biology
  • Metabolic engineering

Background:

  • Genome-scale metabolic networks are crucial for understanding cellular functions.
  • Accurate annotation of these networks is essential for predicting biochemical pathways.
  • Current annotation methods face challenges in accuracy and completeness.

Purpose of the Study:

  • To improve the accuracy of genome-scale metabolic network annotation.
  • To leverage global probabilistic approaches for enhanced biochemical predictions.
  • To guide experimental validation through improved network functionality insights.

Main Methods:

  • Incorporation of sequence homology information.
  • Utilizing context associations for network analysis.
  • Application of global probabilistic modeling.

Main Results:

  • Substantial improvement in the accuracy of biochemical predictions.
  • Enhanced identification of potential metabolic functionalities.
  • More precise direction for experimental validation efforts.

Conclusions:

  • Global probabilistic approaches offer a powerful framework for metabolic network annotation.
  • Integrating sequence and contextual data significantly boosts prediction accuracy.
  • This approach facilitates a deeper understanding of cellular metabolism and experimental design.