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

Structure-Activity Relationships and Drug Design

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...

You might also read

Related Articles

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

Sort by

Same author

From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity.

Small (Weinheim an der Bergstrasse, Germany)·2025

Same author

Corrigendum to "Structural analysis of the NK-lysin-derived peptide NK-2 upon interaction with bacterial membrane mimetics consisting of phosphatidylethanolamine and phosphatidylglycerol" [BBA - Biomembr. 1866 (2024) 184267].

Biochimica et biophysica acta. Biomembranes·2025

Same author

Cytoadhesion of Plasmodium falciparum-Infected Red Blood Cells Changes the Expression of Cytokine-, Histone- and Antiviral Protein-Encoding Genes in Brain Endothelial Cells.

Molecular microbiology·2024

Same author

"Meet the IUPAB councilor"-Thomas Gutsmann.

Biophysical reviews·2024

Same author

A synthetic peptide mimic kills Candida albicans and synergistically prevents infection.

Nature communications·2024

Same author

Secretion of the fungal toxin candidalysin is dependent on conserved precursor peptide sequences.

Nature microbiology·2024

Search research articles

Related Experiment Video

Updated: Oct 2, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

Design of Membrane Active Peptides Considering Multi-Objective Optimization for Biomedical Application.

Niels Röckendorf¹, Christian Nehls^2,3,4, Thomas Gutsmann^2,3,4

¹Division of Mucosal Immunology and Diagnostics, Research Center Borstel-Leibniz Lung Center, Priority Area Chronic Lung Diseases, Member of the Airway Research Center North (ARCN), German Center for Lung Research (DZL), Parkallee 22, 23845 Borstel, Germany.

|February 25, 2022

Summary

This review explores designing effective membrane active peptides (MAPs), like cell-penetrating peptides (CPPs) and antimicrobial peptides (AMPs). Optimization requires considering membrane activity, stability, toxicity, and resistance for biomedical applications.

Keywords:

antimicrobial peptide cell penetrating peptide membrane active peptide membrane activity assay multi objective optimization peptide design

More Related Videos

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Related Experiment Videos

Last Updated: Oct 2, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Area of Science:

Biochemistry
Molecular Biology
Drug Design

Background:

Membrane active peptides (MAPs) are diverse, including cell-penetrating peptides (CPPs) and antimicrobial peptides (AMPs).
Their activity stems from specific sequence motifs, physicochemical properties, and interactions with lipid bilayers.
MAPs are typically cationic, amphipathic, and composed of short amino acid sequences.

Purpose of the Study:

To review strategies for designing and optimizing membrane active peptides.
To highlight key features essential for successful biomedical applications of MAPs.
To emphasize the importance of multi-objective optimization for peptide candidates.

Main Methods:

Computational design and screening of combinatorial libraries for identifying MAPs.
Analysis of sequence motifs and physicochemical properties influencing membrane interactions.
Review of assay systems for evaluating biological characteristics.

Main Results:

Successful design strategies yield MAPs with tailored membrane activity.
Optimization necessitates balancing membrane activity with degradation stability, toxicity, and resistance induction.
Diverse features are crucial for translating MAP candidates into biomedical applications.

Conclusions:

Designing effective MAPs requires a multi-faceted approach, integrating sequence, physicochemical properties, and biological performance.
Careful consideration of stability, toxicity, and resistance is paramount for therapeutic development.
Robust assay systems are vital for the efficient optimization of numerous MAP candidates.