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...

You might also read

Related Articles

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

Sort by

Same author

Associations Among Parental Rearing Patterns, Psychological Resilience and Coping Styles in Adolescent Females with Endometriosis.

International journal of women's health·2026

Same author

Inhibition of PI3K rebalanced Th1/Th17/Treg and restored macrophage function in imiquimod-induced psoriasis.

Molecular immunology·2026

Same author

Microbial Controls of Primed CO<sub>2</sub> and CH<sub>4</sub> Release From Soils and Sediments Under Warming.

Global change biology·2026

Same author

Restoration of Treg function and polarization of M2 macrophages by tofacitinib to alleviate sarcoidosis through the mediation of the JAK3/STAT5 pathway.

Molecular immunology·2026

Same author

A preliminary study on NLRP3 activation and the interventional effects of MCC950 in Con A-induced EAH mice.

Translational pediatrics·2026

Same author

Acupuncture for the Management of Postpartum Uterine Contraction Pain Following Vaginal Delivery: A Protocol for a Randomized, Sham-Controlled Trial.

Journal of pain research·2026

Search research articles

Related Experiment Video

Updated: Aug 2, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

ACP-GBDT: An improved anticancer peptide identification method with gradient boosting decision tree.

Yanjuan Li¹, Di Ma², Dong Chen¹

¹College of Electrical and Information Engineering, Quzhou University, Quzhou, China.

Frontiers in Genetics

|April 17, 2023

Summary

Identifying anticancer peptides is crucial for cancer treatment. A new predictor, ACP-GBDT, effectively distinguishes anticancer peptides using gradient boosting decision trees and sequence information, offering a simpler and more effective method.

Keywords:

anticancer peptides artificial intelligence biological sequence analysis machine learning protein identification

More Related Videos

A Rapid Screening Workflow to Identify Potential Combination Therapy for GBM using Patient-Derived Glioma Stem Cells

A Rapid Screening Workflow to Identify Potential Combination Therapy for GBM using Patient-Derived Glioma Stem Cells

Published on: March 28, 2021

Initial Evaluation of Antibody-conjugates Modified with Viral-derived Peptides for Increasing Cellular Accumulation and Improving Tumor Targeting

Initial Evaluation of Antibody-conjugates Modified with Viral-derived Peptides for Increasing Cellular Accumulation and Improving Tumor Targeting

Published on: March 8, 2018

Related Experiment Videos

Last Updated: Aug 2, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

A Rapid Screening Workflow to Identify Potential Combination Therapy for GBM using Patient-Derived Glioma Stem Cells

A Rapid Screening Workflow to Identify Potential Combination Therapy for GBM using Patient-Derived Glioma Stem Cells

Published on: March 28, 2021

Initial Evaluation of Antibody-conjugates Modified with Viral-derived Peptides for Increasing Cellular Accumulation and Improving Tumor Targeting

Initial Evaluation of Antibody-conjugates Modified with Viral-derived Peptides for Increasing Cellular Accumulation and Improving Tumor Targeting

Published on: March 8, 2018

Area of Science:

Biochemistry
Bioinformatics
Computational Biology

Background:

Cancer remains a leading global cause of mortality, necessitating novel therapeutic strategies.
Anticancer peptides (ACPs) offer a promising avenue for cancer treatment due to their low side effect profiles.
Accurate identification of ACPs is a critical research focus for drug development.

Purpose of the Study:

To develop an improved computational tool for predicting anticancer peptides.
To enhance the accuracy and efficiency of anticancer peptide identification.

Main Methods:

Proposed ACP-GBDT, a novel predictor utilizing gradient boosting decision tree (GBDT).
Employed a merged-feature encoding strategy combining AAIndex and SVMProt-188D for peptide sequence representation.
Trained the prediction model using GBDT on a curated anticancer peptide dataset.

Main Results:

ACP-GBDT demonstrated high effectiveness in distinguishing anticancer peptides from non-anticancer ones via independent testing and ten-fold cross-validation.
Comparative analysis on benchmark datasets indicated that ACP-GBDT outperforms existing prediction methods in terms of simplicity and efficacy.

Conclusions:

ACP-GBDT represents a significant advancement in computational prediction of anticancer peptides.
The developed method offers a more effective and simpler alternative for identifying potential anticancer peptide therapeutics.