UniDock GUI

A user-friendly graphical interface for Uni-Dock, enabling GPU-accelerated molecular docking with up to 2000x speedup for high-throughput virtual screening.

Python Uni-Dock GPU-Accelerated CUDA Vina/Vinardo/AD4
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About UniDock GUI

Simplifying GPU-accelerated molecular docking for researchers

What is Uni-Dock?

Uni-Dock is a high-performance molecular docking program that leverages the power of GPUs to accelerate the docking process by up to 2000 times compared to traditional CPU-based methods. It supports popular scoring functions like vina, vinardo, and ad4.

Uni-Dock is part of the DeepModeling community and is designed for high-throughput virtual screening and molecular docking simulations.

Key Features

Everything you need for efficient molecular docking

Easy-to-use Interface

Simplifies the process of setting up and running docking simulations with Uni-Dock through an intuitive graphical interface.

Input File Management

Easily load and manage receptor and ligand files with support for common molecular file formats.

Interactive Configuration

Set up docking parameters including search space, scoring function (vina, vinardo, ad4), and other advanced options.

Job Monitoring

Monitor the progress of your docking jobs in real-time with detailed status updates and progress indicators.

GPU Acceleration

Leverage NVIDIA GPU computing power for up to 2000x faster docking compared to traditional CPU-based methods.

Results Analysis

View and analyze docking results with binding poses and affinity scores for informed decision making.

Supported Scoring Functions

Choose the right scoring function for your research

Vina

The classic AutoDock Vina scoring function, widely used and validated for molecular docking studies.

Vinardo

An improved scoring function with better accuracy for certain protein-ligand interactions.

AD4

AutoDock 4 scoring function for compatibility with legacy workflows and specific use cases.

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