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Related Experiment Video

Updated: Jun 4, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

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ASPDock: protein-protein docking algorithm using atomic solvation parameters model.

Lin Li¹, Dachuan Guo, Yangyu Huang

¹Biomolecular Physics and Modelling Group, Department of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, PR China.

BMC Bioinformatics

|January 29, 2011

Summary

This summary is machine-generated.

The Atomic Solvation Parameters (ASP) model improves protein-protein docking accuracy. ASPDock, an FFT-based method, shows stronger correlation with binding free energies than shape complementarity alone.

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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

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Published on: June 20, 2025

Area of Science:

Computational Biology
Structural Biology
Biophysics

Background:

The Atomic Solvation Parameters (ASP) model accurately calculates protein complex binding free energies.
Integrating ASP into docking algorithms is hypothesized to enhance prediction accuracy.

Purpose of the Study:

To develop an FFT-based algorithm for calculating ASP scores in protein complexes.
To create an ASP-based protein-protein docking method (ASPDock).

Main Methods:

Fast Fourier Transform (FFT) based algorithm for ASP score calculation.
Development of the ASPDock method for protein-protein docking.
Incorporation of predicted binding site information via a softly restricting method.

Main Results:

ASPDock demonstrated a stronger correlation (r ≈ 0.69) with experimental binding free energies compared to shape complementarity (r ≈ 0.48) on 21 complexes.
ASPDock outperformed pure shape complementarity methods on the Benchmark 3.0 dataset (124 complexes).
The method showed good performance in CAPRI rounds 18 and 19, especially when incorporating binding site information.

Conclusions:

The ASP model provides a more accurate and physically meaningful description of protein docking compared to pure shape complementarity.
ASPDock represents a significant advancement in computational protein-protein docking.
The integration of binding site information further refines docking predictions.