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

Peptide Identification Using Tandem Mass Spectrometry

Peptide Identification Using Tandem Mass Spectrometry

Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...

Peptide Bonds

Peptide Bonds

A peptide bond covalently attaches amino acids through a dehydration reaction. One amino acid's carboxyl group and another amino acid's amino group combine, releasing a water molecule. The resulting bond is the peptide bond. The products that such linkages form are peptides. As more amino acids join this growing chain, the resulting chain is a polypeptide. Each polypeptide has a free amino group at one end. This end has the N-terminal, or the amino-terminal, and the other end has a free...

You might also read

Related Articles

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

Sort by

Same author

Comparative outcomes and characteristics of biliary, alcoholic and drug-induced pancreatitis based on the National Inpatient Sample (2016-2021).

Annals of gastroenterology·2026

Same author

Curcumin-loaded nanocarriers for dermatological applications: current advances and biomedical implications.

EXCLI journal·2026

Same author

Harnessing genipin as a biocompatible crosslinker in nanomedicine for oncology applications.

3 Biotech·2026

Same author

Network pharmacology and AI: illuminating the path to precision herbal medicine in Ganoderma spp.

Chinese journal of natural medicines·2026

Same author

Machine learning driven LD<sub>50</sub> prediction for cancer risk assessment using modern molecular language models.

Frontiers in oncology·2026

Same author

Type I IFN-dependent FcγRIV signaling in murine monocytes promotes lethal anaphylaxis during viral infections.

The Journal of clinical investigation·2026

Search research articles

Related Experiment Video

Updated: Dec 25, 2025

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

Peptide Combination Generator: a Tool for Generating Peptide Combinations.

Naseem Ali¹, Arzoo Shamoon¹, Neelesh Yadav¹

¹Bioinformatics Center, Forest Research Institute, Dehradun, Uttrakhand 248006, India.

|April 1, 2020

Summary

Researchers created PepCoGen, a web tool to design custom peptides. This peptide combination generator predicts properties and models structures for research and diagnostics.

More Related Videos

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

Constructing Cyclic Peptides Using an On-Tether Sulfonium Center

Constructing Cyclic Peptides Using an On-Tether Sulfonium Center

Published on: September 28, 2022

Related Experiment Videos

Last Updated: Dec 25, 2025

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

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

Constructing Cyclic Peptides Using an On-Tether Sulfonium Center

Constructing Cyclic Peptides Using an On-Tether Sulfonium Center

Published on: September 28, 2022

Area of Science:

Biochemistry and Molecular Biology
Bioinformatics and Computational Biology

Background:

Peptides are crucial reagents in basic research and diagnostics.
Designing peptides with specific physiochemical profiles is essential but challenging.
Existing tools lack comprehensive prediction for amino acid combinations based on physiochemical properties.

Purpose of the Study:

To develop a web server for generating all possible peptide combinations.
To facilitate the design of peptides with desired physiochemical characteristics.
To provide predictive insights into peptide properties and structures.

Main Methods:

Developed PepCoGen, a novel web server.
Implemented functionality to vary amino acids with similar physiochemical properties at specific positions.
Integrated prediction modules for molecular weight, charge, solubility, hydrophobicity, and isoelectric point.
Included generation of random 3D models for each peptide combination.

Main Results:

PepCoGen generates all potential peptide combinations based on physiochemical property variations.
The server accurately predicts key physiochemical properties for designed peptides.
Random 3D structural models are provided for each generated peptide combination.

Conclusions:

PepCoGen addresses the need for a comprehensive peptide design tool.
The server aids researchers in creating peptides with tailored physiochemical profiles.
This tool enhances peptide-based research and diagnostic applications.