LigandScout Remote: A New User-Friendly Interface for HPC and Cloud Resources

Area of Science:

• Computational chemistry
• Bioinformatics
• Scientific computing

Background:

• High-performance computing (HPC) clusters are crucial for scientific research but present usability challenges for non-computer scientists.
• Existing solutions like web-based front-ends improve accessibility but still require manual data handling.
• Researchers often face difficulties with data preparation, transfer, result collection, and command-line operations on HPC clusters.

Purpose of the Study:

• To develop a software solution that seamlessly integrates HPC resources into existing desktop applications.
• To eliminate usability barriers associated with accessing and utilizing HPC clusters for scientific research.
• To combine the ease of use of desktop applications with the computational power of HPC.

Main Methods:

• Developed LigandScout Remote software for transparent integration of HPC resources.
• Implemented automatic data conversion and network communication handling.
• Integrated HPC cluster access directly into the LigandScout desktop application workflow.

Main Results:

• LigandScout Remote successfully integrates HPC resources into the LigandScout desktop application.
• The software transparently handles data conversion and network communication, removing user-level HPC barriers.
• The solution provides the performance benefits of HPC clusters with the usability of a local desktop application.

Conclusions:

• LigandScout Remote offers a novel approach to accessing HPC resources for scientific research.
• The software significantly improves the usability of HPC clusters for researchers without computer science backgrounds.
• This integration empowers scientists by providing seamless access to high-performance computing capabilities within their familiar software environment.