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Protein-protein Interfaces

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...

Protein-Protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.

Protein Organization

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Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain. Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Computational protein design promises to revolutionize protein engineering.

Oscar Alvizo¹, Benjamin D Allen, Stephen L Mayo

¹Biochemistry and Molecular Biophysics Option, California Institute of Technology, Pasadena, CA, USA.

|February 3, 2007

Summary

Computational protein design (CPD) uses molecular simulation to predict new protein sequences with desired functions. This approach is advancing protein engineering for applications in medicine and enzyme design.

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Area of Science:

Biochemistry
Molecular Biology
Bioinformatics

Background:

Proteins are essential for life, performing diverse physical and chemical functions.
Re-engineering proteins for new functions is challenging due to difficulties in sequence identification.
Computational Protein Design (CPD) offers a predictive approach using molecular simulation.

Purpose of the Study:

To explore the capabilities of CPD in designing proteins with novel or improved functions.
To highlight the application of CPD in optimizing protein binding specificity.
To showcase the potential of CPD in de novo enzyme design and therapeutic agent development.

Main Methods:

Utilizing molecular simulation techniques within the CPD framework.
Designing protein variants with specific binding properties.
Applying CPD for de novo enzyme design and engineering therapeutic agents.

Main Results:

CPD successfully predicted protein sequences with optimized binding specificity for various targets (DNA, small molecules, peptides, proteins).
Initial successes in enzyme design demonstrate CPD's ability to create functions de novo.
CPD has been applied to engineer potential therapeutic agents, showing real-world applicability.

Conclusions:

CPD is a powerful tool for protein engineering, overcoming limitations of traditional methods.
The predictive power of CPD enables the design of proteins with tailored functions.
CPD holds significant promise for advancing biotechnology, enzyme development, and therapeutic applications.