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

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Open-Source Browser-Based Tools for Structure-Based Computer-Aided Drug Discovery.

Ann Wang¹, Jacob D Durrant¹

¹Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA.

Molecules (Basel, Switzerland)

|July 27, 2022

Summary

This summary is machine-generated.

Open-source computer-aided drug discovery (CADD) tools are crucial. A new browser-based approach simplifies CADD tool deployment, enhancing accessibility and usability for researchers in drug discovery.

Keywords:

browser-based tools computer docking computer-aided drug discovery open source tool development usability web-based tools

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Area of Science:

Computational chemistry
Drug discovery
Bioinformatics

Background:

Drug discovery is a complex process requiring efficient computational tools.
Existing open-source computer-aided drug discovery (CADD) tools often present usability challenges.
Structure-based CADD is vital for small-molecule ligand discovery.

Purpose of the Study:

To highlight the importance of open-source CADD tools.
To address usability issues in current CADD software.
To propose and illustrate a browser-based approach for CADD tool deployment.

Main Methods:

Discussion of general drug discovery principles.
Focus on structure-based CADD for small molecules.
Proposal of a browser-based application model for CADD tools.
Development and description of example CADD browser applications.

Main Results:

Browser-based CADD applications offer enhanced usability and accessibility.
This approach eliminates the need for software downloads and installations.
It ensures cross-platform compatibility and simplifies updates.
Browser apps maintain data privacy by running calculations locally, unlike cloud-based solutions.

Conclusions:

Browser-based CADD tools represent a significant advancement in accessibility and user-friendliness.
This approach overcomes common hurdles associated with open-source CADD software.
Further development of user-friendly, browser-compatible CADD software is encouraged.