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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
Circular Cone: a novel approach for protein ligand shape matching using modified PCA
Shuangjian Zhang1, Jun Du, Liang Zhang
1School of Mathematical Sciences, Nankai University, 300071 Tianjin, PR China. kelvin.sj.z@gmail.com
Computer Methods and Programs in Biomedicine
|March 31, 2012
Summary
This study introduces the Circular Cone method for rapid pharmaceutical drug discovery. It offers a fast, albeit ordinary accuracy, approach for shape matching in virtual screening, ideal for high throughput screening (HTS).
Area of Science:
- Computational chemistry and cheminformatics.
- Drug discovery and pharmaceutical sciences.
Background:
- Computer modeling is crucial for modern pharmaceutical discovery.
- Virtual screening, particularly shape matching, is a key early step.
- High throughput screening (HTS) demands fast and efficient algorithms.
Purpose of the Study:
- To present a novel, fast algorithm for shape matching in virtual screening.
- To address the need for speed in HTS processes.
Main Methods:
- Developed a method called "Circular Cone" for shape matching.
- Utilized modified Principal Component Analysis (PCA) to determine a principal axis.
- Modeled ligand-protein interactions by rotating around this principal axis.
Main Results:
- The Circular Cone method achieves very high speed in scoring protein pockets and ligands.
- The accuracy of the method is considered ordinary.
- The balance of speed and general accuracy makes it suitable for HTS.
Conclusions:
- The Circular Cone method provides a computationally efficient option for the initial stages of virtual screening.
- Its speed makes it a viable choice for high throughput screening applications in drug discovery.
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