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Autophagy

Autophagy

Autophagy is a self-digesting process by which a cell protects itself from threats both within and outside the cell, ranging from abnormal proteins to invading bacteria. In this process, obsolete components of the cell and invading microbes are degraded by hydrolytic enzymes active in an acidic environment of the lysosomal lumen.
An autophagic pathway consists of a series of signaling events activated in response to diverse stress and physiological conditions such as food deprivation,...

Delivery Pathways to the Lysosome

Delivery Pathways to the Lysosome

Eukaryotic cells use different mechanisms to eliminate toxic waste obsolete and worn-out substances. Lysosomes play a pivotal role in this, and hence, these substances are carried to the lysosome from other parts of the cell and extracellular space through different pathways. The most elaborately studied pathways to the lysosome are the endocytic pathways.
Endocytosis
In endocytosis, the cell membrane takes up macromolecules and particles from the surrounding medium. Clathrin-mediated...

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Related Experiment Video

Updated: Jan 17, 2026

Study of Protein-protein Interactions in Autophagy Research

Study of Protein-protein Interactions in Autophagy Research

Published on: September 9, 2017

StackAPP: Advancing autophagy protein identification with ensemble learning.

Munem Shahriar Shoyshob¹, Kusay Faisal Al-Tabatabaie², Lway Faisal Abdulrazak³

¹Department of Software Engineering, Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka, 1216, Bangladesh.

Analytical Biochemistry

|September 20, 2025

Summary

This summary is machine-generated.

This study presents a new method for predicting autophagy proteins using feature fusion and stacking classifiers. The approach accurately identifies proteins crucial for cellular homeostasis and potential disease treatments.

Keywords:

Autophagy protein Ensemble learning Feature extraction Machine learning StackAPP model

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Published on: July 21, 2017

Quantitative Analysis of Autophagy using Advanced 3D Fluorescence Microscopy

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Published on: May 3, 2013

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Last Updated: Jan 17, 2026

Study of Protein-protein Interactions in Autophagy Research

Study of Protein-protein Interactions in Autophagy Research

Published on: September 9, 2017

Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry

Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry

Published on: July 21, 2017

Quantitative Analysis of Autophagy using Advanced 3D Fluorescence Microscopy

Quantitative Analysis of Autophagy using Advanced 3D Fluorescence Microscopy

Published on: May 3, 2013

Area of Science:

Biochemistry and Molecular Biology
Bioinformatics
Computational Biology

Background:

Autophagy is a vital cellular process maintaining metabolic and bioenergetic homeostasis.
Identifying autophagy proteins is crucial for understanding cellular functions and developing treatments for related disorders.

Purpose of the Study:

To develop an innovative and accurate computational method for predicting autophagy proteins.
To enhance the understanding of autophagy pathways through improved protein identification.

Main Methods:

Feature extraction using Amphiphilic Pseudo Amino Acid Composition and Amino Acid Composition from protein sequences.
Integration of extracted features via a feature fusion technique.
Application of stacking classifiers for enhanced predictive performance.

Main Results:

Achieved high prediction accuracy of 0.9606 and an MCC of 0.9241 on an independent test set.
Demonstrated superior performance compared to standard prediction methods.
Validated the efficacy of the integrated feature fusion and stacking classifier approach.

Conclusions:

The proposed method offers a robust model for autophagy protein prediction.
This approach has significant potential applications in bioinformatics and biomedical research.
Facilitates future research directions in protein prediction and autophagy-related studies.