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Updated: Jun 23, 2026
06:50
Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
Published on: January 26, 2024
Protein domain boundary predictions: a structural biology perspective
Svetlana Kirillova1, Suresh Kumar, Oliviero Carugo
1Department of Biomolecular Structural Chemistry, Max F. Pertuz Laboratories, Vienna University, Campus Vienna, Biocenter 5, A-1030, Vienna.
The Open Biochemistry Journal
|April 30, 2009
Summary
Predicting protein domain boundaries using computational tools is challenging for structural biology. While current methods show promise, they are not yet reliable for routine use in designing stable protein constructs.
Area of Science:
- Structural biology
- Computational biology
- Bioinformatics
Background:
- Computational tools are crucial for predicting protein domain boundaries, aiding in the design of stable and functional protein constructs for crystallization.
- Accurate prediction of protein domain boundaries from amino acid sequences remains a significant challenge in the field.
Purpose of the Study:
- To evaluate and compare the performance of various computational approaches for predicting protein domain boundaries.
- To assess the current utility and limitations of these prediction methods in structural biology.
Main Methods:
- Comparative analysis of multiple computational algorithms designed for protein domain boundary prediction.
- Assessment of prediction accuracy and statistical significance across different methods.
Main Results:
- Most computational methods exhibit poor statistical significance in predicting protein domain boundaries.
- When the correct number of domains is identified, predictions are accurate to within a few residues of the actual boundaries.
Conclusions:
- Current computational methods for protein domain boundary prediction are not yet suitable for routine application in structural biology.
- Despite limitations, some prediction approaches show potential for future development and integration into structural biology workflows.
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02:26Conservation of Protein Domains Over Different Proteins
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A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
02:26Conservation of Protein Domains
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A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
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01:49Conserved Binding Sites
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
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01:49Conserved Binding Sites
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
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00:59Mechanisms of Membrane Domain Formation
Different physical properties of lipids and proteins allow them to localize and form distinct islands or domains in the membrane. Some membrane domains are formed due to protein-protein interactions, whereas others are formed due to the presence of specific lipids such as sphingolipids and sterols—for example, large proteins, such as bacteriorhodopsin, aggregate and create distinct domains.
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