Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Passive Filters

Passive Filters

Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...

Active Filters

Active Filters

Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:

Oxidation-Reduction Reactions

Oxidation-Reduction Reactions

Oxidation–Reduction Reactions

Molecular Models

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.

Molecular Orbital Theory II

Molecular Orbital Theory II

Molecular Orbital Energy Diagrams

Molecular Orbital Theory I

Molecular Orbital Theory I

Overview of Molecular Orbital Theory

You might also read

Related Articles

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

Sort by

Same author

No lymphocytosis increase after cBTKi is a rare phenomenon except for CD49d-positive CLL mainly expressed in trisomy 12.

Blood advances·2026

Same author

Early Ibrutinib Dose Modifications in CLL: A Post Hoc Analysis of the Real-World EVIdeNCE Study.

Cancers·2026

Same author

Digital twin approaches for interpretable side effect prediction in drug discovery.

Drug discovery today·2026

Same author

Renal dysfunction in symptomatic Waldenström macroglobulinaemia: A nationwide Italian multicentre study.

British journal of haematology·2026

Same author

Clinical Outcomes in Double-Exposed Chronic Lymphocytic Leukemia Patients in Italy.

Hematological oncology·2026

Same author

Fixed-duration VenO vs FCR/BR in fit patients with untreated CLL: primary analysis of the phase 3 CRISTALLO trial.

Blood·2026

Same journal

Tau protein differentially affects Piezo1 and Kir2.1 channels in brain capillary endothelial cells.

Biophysical journal·2026

Same journal

Emergent Intercellular Junction Stability during Cyclic Tissue Loading.

Biophysical journal·2026

Same journal

Enhanced-Sampling Simulations Reveal Distinct Intermediates in SARS-CoV-2 FSE Pseudoknot Interconversion.

Biophysical journal·2026

Same journal

Structure-based simulations of the full Flock House virus capsid reveal pathways and energetics of an infection-critical peptide externalization event.

Biophysical journal·2026

Same journal

Quantifying the Peripheral Surface Information Entropy from Conformational Ensembles of Globular Protein-Peptide Complexes.

Biophysical journal·2026

Same journal

Anisotropic unbinding and location-dependent hovering of a kinesin motor head over microtubule.

Biophysical journal·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 8, 2026

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Published on: October 31, 2013

Molecular Filters for Noise Reduction.

Luca Laurenti¹, Attila Csikasz-Nagy², Marta Kwiatkowska¹

¹Department of Computer Science, University of Oxford, Oxford, United Kingdom.

Biophysical Journal

|June 21, 2018

Summary

This summary is machine-generated.

Living systems reliably perform functions despite inherent biological noise. Nonlinear dynamics, like complex formation, are crucial for molecular noise-filtering mechanisms, potentially including microRNAs, enabling robust synthetic biology.

More Related Videos

Quantitative Proteomics Using Reductive Dimethylation for Stable Isotope Labeling

Quantitative Proteomics Using Reductive Dimethylation for Stable Isotope Labeling

Published on: July 1, 2014

Light-driven Molecular Motors on Surfaces for Single Molecular Imaging

Light-driven Molecular Motors on Surfaces for Single Molecular Imaging

Published on: March 13, 2019

Related Experiment Videos

Last Updated: Feb 8, 2026

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Published on: October 31, 2013

Quantitative Proteomics Using Reductive Dimethylation for Stable Isotope Labeling

Quantitative Proteomics Using Reductive Dimethylation for Stable Isotope Labeling

Published on: July 1, 2014

Light-driven Molecular Motors on Surfaces for Single Molecular Imaging

Light-driven Molecular Motors on Surfaces for Single Molecular Imaging

Published on: March 13, 2019

Area of Science:

Biochemistry and Systems Biology
Synthetic Biology
Molecular Biology

Background:

Living systems exhibit inherent stochasticity and operate in noisy environments.
Understanding biochemical noise control is crucial for engineering reliable synthetic biological circuits.
Current knowledge of molecular noise-filtering mechanisms in biological systems remains incomplete.

Purpose of the Study:

To investigate how biochemical systems propagate and attenuate intrinsic and extrinsic noise.
To analyze the noise-reduction capabilities and limitations of three molecular noise-filtering mechanisms.
To identify principles for designing robust synthetic biological circuits by understanding natural noise control.

Main Methods:

Modeling of representative biochemical systems to analyze noise propagation and attenuation.
Investigation of three distinct molecular noise-filtering mechanisms.
Analysis of the role of nonlinear dynamics, such as complex formation, in noise reduction.

Main Results:

Nonlinear dynamics, including complex formation, are essential for efficient noise reduction in biochemical systems.
Identified molecular filters demonstrate significant noise-attenuating capabilities.
These noise-filtering mechanisms appear to be widespread in gene expression and regulation.

Conclusions:

MicroRNAs are suggested as potential molecular noise filters within gene regulatory networks.
The study provides novel insights into biochemical network noise control.
Findings can guide the development of more robust and reliable synthetic biological circuits.