Related Experiment Video
Updated: May 15, 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
Prediction of protein-mannose binding sites using random forest
Harshvardan Khare1, Vivek Ratnaparkhi, Sonali Chavan
1Bioinformatics centre, University of Pune, Pune, India.
Bioinformation
|January 1, 2013
Summary
Researchers developed a method to predict mannose binding sites using Random Forest, achieving 95.59% accuracy. This analysis is valuable for drug design and understanding mannose
Area of Science:
- Biochemistry
- Computational Biology
- Drug Discovery
Background:
- Mannose is a key monosaccharide on cell surfaces.
- Mannose plays a crucial role in numerous biochemical processes.
- Mannose interacts with a wide array of receptor proteins.
Purpose of the Study:
- To develop a predictive model for mannose binding sites.
- To utilize computational methods for identifying mannose interactions.
- To assess the utility of Random Forest in this prediction task.
Main Methods:
- Employed Random Forest algorithm for prediction.
- Defined mannose binding sites as spheres around ligand centroids.
- Extracted atom-wise and residue-wise features from layered spheres.
Main Results:
- Achieved 95.59% accuracy in predicting mannose binding sites.
- Validated the model using 10-fold cross-validation.
- Demonstrated the effectiveness of the Random Forest approach.
Conclusions:
- The developed method accurately predicts mannose binding sites.
- This predictive analysis holds significant potential for drug design.
- Understanding mannose binding is crucial for therapeutic development.
Related Concept Videos
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...
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...
02:40Ligand Binding Sites
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
02:04Protein-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...