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

Conservation of Angular Momentum01:09

Conservation of Angular Momentum

10.8K
A system's total angular momentum remains constant if the net external torque acting on the system is zero. Considering a system that consists of n tiny particles, the angular momentum of any tiny particle may change, but the system's total angular momentum would remain constant. The principle of conservation of angular momentum only considers the net external torque acting on the system. While there are internal forces exerted by different particles within the system that also produce...
10.8K
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

409
In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
409
Conservation of Mechanical Energy01:05

Conservation of Mechanical Energy

17.1K
The mechanical energy E of a system is the sum of its potential energy U and the kinetic energy K of the objects within it. What happens to this mechanical energy when only conservative forces cause energy transfers within the system—that is, when frictional and drag forces do not act on the objects in the system? Also assume that the system is isolated from its environment; in other words no external force from an object outside the system causes energy changes inside the system.
When a...
17.1K
Kinematic Equations - II01:17

Kinematic Equations - II

11.4K
The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
11.4K
Kinematic Equations - III01:18

Kinematic Equations - III

9.1K
The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
9.1K
Kinematic Equations - I01:26

Kinematic Equations - I

12.7K
When an object moves with constant acceleration, the velocity of the object changes at a constant rate throughout the motion. The kinematic equations of motions are derived for such cases where the acceleration of the object is constant. The first kinematic equation gives an insight into the relationship between velocity, acceleration, and time. We can see, for example:
12.7K

You might also read

Related Articles

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

Sort by
Same author

A systems-level atlas of carbon-response transcriptional states in <i>Escherichia coli</i>.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Annotating the pangenome reveals the diversity in the genetic basis for metabolic enzymes.

Science advances·2026
Same author

Multi-strain analysis of <i>Pseudomonas putida</i> reveals the metabolic and genetic diversity of the species.

mSystems·2026
Same author

Dissecting host stress responses for predictable heterologous gene expression in E. coli.

Nucleic acids research·2026
Same author

Revealing transcriptomic responses in <i>Escherichia coli</i> during early antibiotic exposure.

mSystems·2026
Same author

Gut microbial ethanol metabolism contributes to auto-brewery syndrome in an observational cohort.

Nature microbiology·2026
Same journal

Thermo-flux: generation and analysis of thermodynamic-stoichiometric metabolic network models.

Molecular systems biology·2026
Same journal

Paradoxical non-catalytic kinase functions are driven by inhibitor-induced displacement of autoinhibitory domains.

Molecular systems biology·2026
Same journal

E. coli prepares for starvation by dramatically remodeling its proteome in the first hours after loss of nutrients.

Molecular systems biology·2026
Same journal

Common xenobiotics modulate gut microbial responses to low‑calorie sweeteners in vitro.

Molecular systems biology·2026
Same journal

ParTIpy: a scalable framework for archetypal analysis and Pareto task inference.

Molecular systems biology·2026
Same journal

Quantitative interactome mapping of skeletal muscle insulin resistance.

Molecular systems biology·2026
See all related articles

Related Experiment Video

Updated: Oct 3, 2025

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
08:45

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments

Published on: March 28, 2018

10.8K

Is the kinetome conserved?

Bernhard O Palsson1, James T Yurkovich1

  • 1Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.

Molecular Systems Biology
|February 21, 2022
PubMed
Summary
This summary is machine-generated.

Computational biologists are developing kinetic models for metabolism. Recent findings suggest the "kinetome" (kinetic parameters) might be conserved, simplifying future model development for cell functions.

More Related Videos

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.2K
Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

3.3K

Related Experiment Videos

Last Updated: Oct 3, 2025

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
08:45

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments

Published on: March 28, 2018

10.8K
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.2K
Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

3.3K

Area of Science:

  • Systems biology
  • Metabolic modeling
  • Biochemistry

Background:

  • Computational biologists have long sought to create kinetic models of complex metabolic processes.
  • Estimating the numerous kinetic parameters for large-scale models presents a significant hurdle.
  • This set of kinetic constants is known as the kinetome.

Purpose of the Study:

  • To discuss recent advancements in the field of metabolic modeling.
  • To explore the hypothesis that the kinetome is more conserved than previously thought.

Main Methods:

  • Review of recent literature and advancements in computational biology.
  • Analysis of existing kinetic models and parameter datasets.
  • Discussion of the implications of kinetome conservation.

Main Results:

  • Emerging evidence suggests that the kinetome may exhibit a higher degree of conservation across different biological systems than anticipated.
  • This potential conservation has significant implications for the efficiency and scope of future modeling efforts.

Conclusions:

  • A conserved kinetome could dramatically accelerate the creation of kinetic models for integrated cellular functions.
  • This acceleration will broaden the applicability of these models across diverse areas of biology and biomedicine.