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A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
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TS-Chemscore, a Target-Specific Scoring Function, Significantly Improves the Performance of Scoring in Virtual
Wen-Jing Wang1, Qi Huang1, Jun Zou1
1State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, 610041, China.
Chemical Biology & Drug Design
|November 1, 2014
Summary
A new target-specific scoring function, TS-Chemscore, significantly improves drug design accuracy over universal scoring functions. This method successfully identified novel inhibitors for JAK3 and YopH in virtual screening experiments.
Area of Science:
- Computational chemistry
- Drug discovery
- Structural biology
Background:
- Universal scoring functions in structure-based drug design often show poor correlation with experimental binding affinities.
- Existing methods lack target specificity, limiting their effectiveness in identifying potent drug candidates.
Purpose of the Study:
- To develop a novel target-specific scoring function (TS-Chemscore) by adapting a universal scoring function (Chemscore).
- To evaluate the performance of TS-Chemscore in improving the correlation between calculated scores and experimental binding affinities.
- To assess the efficacy of TS-Chemscore in virtual screening for identifying novel inhibitors against specific protein targets.
Main Methods:
- A strategy was devised to construct target-specific scoring functions from universal ones, applied to Chemscore to create TS-Chemscore.
- TS-Chemscore was validated across 14 diverse protein targets, assessing its correlation with experimental binding affinities.
- Virtual screening using TS-Chemscore was performed to identify inhibitors for JAK3 and YopH, followed by experimental validation.
Main Results:
- TS-Chemscore demonstrated a significant improvement in correlating calculated scores with experimental binding affinities compared to the original Chemscore across 14 targets.
- Virtual screening with TS-Chemscore successfully identified six active JAK3 inhibitors and four active YopH inhibitors.
- The active compounds identified by TS-Chemscore were not among the top compounds ranked by the original Chemscore.
Conclusions:
- TS-Chemscore offers enhanced performance over universal scoring functions for structure-based drug design.
- The developed target-specific scoring function improves the accuracy of virtual screening, leading to the discovery of novel bioactive compounds.
- This approach provides a valuable tool for more effective drug discovery and development.
