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

You might also read

Related Articles

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

Sort by

Same author

Attention-deficit/hyperactivity disorder in India: epidemiology, diagnostic inequities, treatment gaps, and public mental health implications.

Frontiers in psychiatry·2026

Same author

Co-Phosphoregulatory Network Underlying Functional Coherence of TLK1 and TLK2 Kinase Paralogs.

International journal of molecular sciences·2026

Same author

Site-Specific Phosphoproteomics Uncovers Potential Regulatory Networks of NEK4 in DNA Damage Response and Cancer Progression.

Omics : a journal of integrative biology·2026

Same author

Identification of tumor-associated antigens with multi-cancer therapeutic potential.

Frontiers in immunology·2026

Same author

Integrative phosphoproteomic analysis identifies functional roles of TRPM7 phosphosites in oncogenesis.

Frontiers in bioinformatics·2026

Same author

Phosphosite-specific co-regulation networks of MELK kinase: insights from integrative global phosphoproteomes.

Journal, genetic engineering & biotechnology·2026

Same journal

MetaphorPrompt2-A Structure and Function-Focused Approach for Extracting Causal Events from Biological Text.

Computational and structural biotechnology journal·2026

Same journal

Microbiome-Metabolome Crosstalk in HPV Pathogenesis: From Ecosystem Dynamics to Translational Biomarkers.

Computational and structural biotechnology journal·2026

Same journal

Minimum-Cost Synthetic Genome Planning: An Algorithmic Framework.

Computational and structural biotechnology journal·2026

Same journal

Functional Genomic Evidence for Candidate Small Viral RNA-Mediated Epigenetic Interference in SARS-CoV-1 and SARS-CoV-2.

Computational and structural biotechnology journal·2026

Same journal

From Pixels to Patterns: A Multidimensional Framework to Decode Cytoskeletal Organization.

Computational and structural biotechnology journal·2026

Same journal

A Large Concept Model for Mechanistic Simulation of Disease Trajectories: A Hypothesis-Generating Exemplar for Pediatric Acute Lymphoblastic Leukemia.

Computational and structural biotechnology journal·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 6, 2025

Production and Visualization of Bacterial Spheroplasts and Protoplasts to Characterize Antimicrobial Peptide Localization

Production and Visualization of Bacterial Spheroplasts and Protoplasts to Characterize Antimicrobial Peptide Localization

Published on: August 11, 2018

Computational tools for exploring peptide-membrane interactions in gram-positive bacteria.

Shreya Kumar^1,2, Rex Devasahayam Arokia Balaya¹, Saptami Kanekar¹

¹Centre for Integrative Omics Data Science, Yenepoya (Deemed to be University), Mangalore 575018, India.

Computational and Structural Biotechnology Journal

|March 23, 2023

Summary

This summary is machine-generated.

Quorum sensing peptides (QSPs) regulate Gram-positive bacteria. Computational tools aid in identifying QSPs and their inhibitors for developing novel antibacterial therapies against infections.

Keywords:

3-HBA, 3–Hydroxybenzoic Acid AAC, Amino Acid Composition ABC, ATP-binding cassette ACD, Available Chemicals Database AIP, Autoinducing Peptide AMP, Anti-Microbial Peptide ATP, Adenosine Triphosphate Agr, Accessory gene regulator BFE, Binding Free Energy BIP Inhibitors BIP, Biofilm Inhibitory Peptides BLAST, Basic Local Alignment Search Tool BNB, Bernoulli Naïve-Bayes CADD, Computer-Aided Drug Design CSP, Competence Stimulating Peptide CTD, Composition-Transition-Distribution D, Aspartate DCH, 3,3′-(3,4-dichlorobenzylidene)-bis-(4-hydroxycoumarin)DT, Decision Tree FDA, Food and Drug Administration GBM, Gradient Boosting Machine GDC, g-gap Dipeptide GNB, Gaussian NB Gram-positive bacteria H, Histidine H-Kinase, Histidine Kinase H-phosphotransferase, Histidine Phosphotransferase HAM, Hamamelitannin HGM, Human Gut Microbiota HNP, Human Neutrophil Peptide IT, Information Theory Features In silico approaches KNN, K-Nearest Neighbors MCC, Mathew Co-relation Coefficient MD, Molecular Dynamics MDR, Multiple Drug Resistance ML, Machine Learning MRSA, Methicillin Resistant S. aureus MSL, Multiple Sequence Alignment OMR, Omargliptin OVP, Overlapping Property Features PCP, Physicochemical Properties PDB, Protein Data Bank PPIs, Protein-Protein Interactions PSM, Phenol-Soluble Modulin PTM, Post Translational Modification QS, Quorum Sensing QSCN, QS communication network QSHGM, Quorum Sensing of Human Gut Microbes QSI, QS Inhibitors QSIM, QS Interference Molecules QSP inhibitors QSP predictors QSP, QS Peptides QSPR, Quantitative Structure Property Relationship Quorum sensing peptides RAP, RNAIII-activating protein RF, Random Forest RIP, RNAIII-inhibiting peptide ROC, Receiver Operating Characteristic SAR, Structure-Activity Relationship SFS, Sequential Forward Search SIT, Sitagliptin SVM, Support Vector Machine TCS, Two-Component Sensory TRAP, Target of RAP TRG, Trelagliptin WHO, World Health Organization mRMR, minimum Redundancy and Maximum Relevance

More Related Videos

Membrane-SPINE: A Biochemical Tool to Identify Protein-protein Interactions of Membrane Proteins In Vivo

Membrane-SPINE: A Biochemical Tool to Identify Protein-protein Interactions of Membrane Proteins In Vivo

Published on: November 7, 2013

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics

Published on: October 13, 2020

Related Experiment Videos

Last Updated: Aug 6, 2025

Production and Visualization of Bacterial Spheroplasts and Protoplasts to Characterize Antimicrobial Peptide Localization

Production and Visualization of Bacterial Spheroplasts and Protoplasts to Characterize Antimicrobial Peptide Localization

Published on: August 11, 2018

Membrane-SPINE: A Biochemical Tool to Identify Protein-protein Interactions of Membrane Proteins In Vivo

Membrane-SPINE: A Biochemical Tool to Identify Protein-protein Interactions of Membrane Proteins In Vivo

Published on: November 7, 2013

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics

Published on: October 13, 2020

Area of Science:

Microbiology
Computational Biology
Drug Discovery

Background:

Quorum sensing peptides (QSPs) are vital signaling molecules controlling cellular functions in Gram-positive bacteria.
These peptides are promising therapeutic targets for combating bacterial infections.
Current research trends focus on peptide drugs and computational methods for target identification.

Purpose of the Study:

To survey computational approaches for identifying quorum sensing peptides (QSPs) and their inhibitors.
To highlight the utility of these methods in developing biomarkers against Gram-positive pathogens.

Main Methods:

Review of existing databases like Quorumpeps and QSHGM.
Analysis of computational tools and algorithms such as QSPpred, QSPred-FL, iQSP, EnsembleQS, and PEPred-Suite.
Exploration of peptide features including amino acid composition, motifs, and physicochemical properties.

Main Results:

Identified various computational resources for QSP and inhibitor prediction.
Highlighted the role of peptide features in understanding QSP-receptor interactions.
Emphasized the potential of computational methods in drug discovery for infectious diseases.

Conclusions:

Computational methods are crucial for efficient identification and prediction of QSPs and QS interference molecules.
These tools facilitate the development of novel therapeutic strategies and biomarkers against Gram-positive bacterial infections.