PRE-render Content Using Tiles (PRECUT). 1. Large-Scale Compound-Target Relationship Analyses
Sung Jin Cho

TL;DR
The paper introduces PRECUT, a method for pre-rendering complex networks into tiles at various zoom levels, enabling efficient visualization of large-scale compound-target relationship networks, exemplified by MMP networks from ChEMBL.
Contribution
The paper presents a novel pre-rendering approach, PRECUT, for visualizing large networks efficiently, demonstrated on compound-target relationship analyses.
Findings
Efficient visualization of large MMP networks using PRECUT.
Implementation of a web-based MMP network viewer.
Reduced computational load in network visualization.
Abstract
Visualizing a complex network is computationally intensive process and depends heavily on the number of components in the network. One way to solve this problem is not to render the network in real time. PRE-render Content Using Tiles (PRECUT) is a process to convert any complex network into a pre-rendered network. Tiles are generated from pre-rendered images at different zoom levels, and navigating the network simply becomes delivering relevant tiles. PRECUT is exemplified by performing large-scale compound-target relationship analyses. Matched molecular pair (MMP) networks were created using compounds and the target class description found in the ChEMBL database. To visualize MMP networks, the MMP network viewer has been implemented in COMBINE and as a web application, hosted at http://cheminformatic.com/mmpnet/.
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Taxonomy
TopicsPhotonic Crystals and Applications
