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Related Experiment Video

Updated: Feb 19, 2026

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

The computational prediction of protein assemblies.

Anna Tramontano¹

¹Physics Department, Sapienza University of Rome, Piazzale Aldo Moro, 5 I-00185 Roma, Italy; Istituto Pasteur - Fondazione Cenci Bolognetti, Sapienza University of Rome, Piazzale Aldo Moro, 5 I-00185 Roma, Italy.

Current Opinion in Structural Biology

|November 6, 2017

Summary

Understanding protein interactions is key to deciphering cellular functions and designing new drugs. This review covers computational methods for predicting protein-protein assemblies, highlighting recent advances from the CASP experiment.

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Last Updated: Feb 19, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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Published on: January 26, 2024

A Protocol for Computer-Based Protein Structure and Function Prediction

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Published on: November 3, 2011

Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry

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Published on: July 17, 2019

Area of Science:

Molecular Biology
Computational Biology
Structural Biology

Background:

Protein interactions are fundamental to cellular processes, mediating functions through partnerships with proteins, nucleic acids, and small molecules.
Identifying these interaction partners is crucial for understanding life at the molecular level.
Understanding protein complex composition and molecular details aids in drug development and design.

Purpose of the Study:

To review the computational aspects of analyzing and predicting protein-protein assemblies.
To discuss recent advancements in protein-protein interaction prediction, particularly those highlighted in the Critical Assessment of Techniques for Protein Structure Prediction (CASP) experiment.

Main Methods:

Computational analysis of protein-protein interactions.
Prediction of protein complex composition and molecular details.
Review of recent developments in protein structure prediction techniques.

Main Results:

The abstract does not contain specific results, but rather outlines the scope of the review.
It emphasizes the importance of computational methods in understanding protein assemblies.

Conclusions:

Computational approaches are essential for analyzing and predicting protein-protein assemblies.
Recent progress in protein structure prediction, as seen in CASP, offers valuable insights into protein interactions and drug design.