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Caspases

Caspases

Caspase, a family of cysteine proteases, serve as effectors in apoptosis. The ced3 gene in C.elegans was first identified to be involved in apoptosis. This gene encodes the ced-3 caspase that is similar to the interleukin-1-beta converting enzyme or ICE in mammals. In addition to apoptosis, caspases also function in the inflammatory response. Inflammatory caspases are essential in activating pro-inflammatory cytokines that recruit immune cells and block the replication of pathogens inside...

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Updated: Oct 19, 2025

Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches

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Target highlights in CASP14: Analysis of models by structure providers.

Leila T Alexander^1,2, Rosalba Lepore³, Andriy Kryshtafovych⁴

¹Biozentrum, University of Basel, Basel, Switzerland.

|September 25, 2021

Summary

Protein structure prediction accuracy significantly improved in Critical Assessment of Techniques for Protein Structure Prediction 14 (CASP14). Computational models now accurately reproduce key protein features and can guide future biological studies.

Keywords:

CASP X-ray crystallography community-wide experiment cryo-EM protein structure prediction

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Area of Science:

Structural biology
Computational biology
Biophysics

Background:

The Critical Assessment of Techniques for Protein Structure Prediction (CASP) is a community-wide experiment to assess protein structure prediction methods.
CASP14 provided a benchmark for evaluating the progress in predicting three-dimensional protein structures.

Purpose of the Study:

To describe the biological and functional significance of selected CASP14 targets.
To evaluate how well computational models reproduced the structural features of these targets.
To assess the overall improvement in protein structure prediction capabilities.

Main Methods:

Authors of experimentally determined structures described their target proteins.
They compared experimental structures with computational predictions submitted to CASP14.
Analysis focused on the reproduction of critical structural and functional features.

Main Results:

Protein structure prediction accuracy has markedly improved in CASP14.
Many challenging protein targets were modeled with high precision.
Computational models successfully reproduced key structural characteristics of the target proteins.

Conclusions:

CASP14 demonstrated significant advancements in computational protein structure prediction.
Experimentalists recognized the accuracy of computational models.
These models are now considered valuable tools for guiding further research into protein functions.