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

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

You might also read

Related Articles

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

Sort by

Same author

A Whole-Brain Connectivity Map of VTA and SNc Glutamatergic and GABAergic Neurons in Mice.

Frontiers in neuroanatomy·2022

Same author

Protein Interaction Network Reconstruction with a Structural Gated Attention Deep Model by Incorporating Network Structure Information.

Journal of chemical information and modeling·2022

Same author

DNA Barcode Identification of Fish Products from Guiyang Markets in Southwestern People's Republic of China.

Journal of food protection·2022

Same author

MiR-206 suppresses the deterioration of intrahepatic cholangiocarcinoma and promotes sensitivity to chemotherapy by inhibiting interactions with stromal CAFs.

International journal of biological sciences·2022

Same author

A Nomogram for Predicting Brain Metastasis in IIIA-N2 Non-Small Cell Lung Cancer After Complete Resection: A Competing Risk Analysis.

Frontiers in oncology·2021

Same author

Fast and simple calibration of frequency response and IQ skew for a coherent optical transmitter using a low-bandwidth photodetector.

Optics letters·2021

Search research articles

Related Experiment Video

Updated: Jul 4, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

ACPScanner: Prediction of Anticancer Peptides by Integrated Machine Learning Methodologies.

Guolun Zhong¹, Lei Deng¹

¹School of Computer Science and Engineering, Central South University, Changsha 410000, China.

Journal of Chemical Information and Modeling

|January 26, 2024

Summary

Researchers developed ACPScanner, a novel computational tool to identify anticancer peptides (ACPs) and predict their specific functions. This advancement offers a more targeted approach to cancer therapy, moving beyond general identification.

More Related Videos

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Published on: March 24, 2015

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Related Experiment Videos

Last Updated: Jul 4, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Published on: March 24, 2015

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Area of Science:

Biochemistry
Bioinformatics
Computational Biology

Background:

Chemotherapy is a primary cancer treatment but causes significant side effects.
Anticancer peptides (ACPs) show promise as targeted cancer therapeutics.
Existing computational methods for ACP identification lack functional specificity.

Purpose of the Study:

To develop ACPScanner, an integrated computational approach for predicting ACPs and non-ACPs.
To enable prediction of specific anticancer activity types for identified ACPs.
To provide a publicly available web server for ACPScanner.

Main Methods:

Incorporation of sequential, physicochemical, and secondary structural properties of peptides.
Utilizing deep representation learning embeddings generated by artificial intelligence.
Employing a hybrid architecture combining deep learning and statistical learning for two-level prediction.

Main Results:

ACPScanner achieves competitive prediction performance in both ACP identification and activity type prediction.
The approach effectively integrates diverse feature types for enhanced prediction accuracy.
Comparative evaluations demonstrate the efficacy of the proposed method in independent tests.

Conclusions:

ACPScanner is the first computational approach capable of predicting specific anticancer activity types.
The tool offers a significant advancement in the identification and functional characterization of potential anticancer peptides.
The public availability of ACPScanner facilitates further research and development in peptide-based cancer therapeutics.