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Updated: Feb 11, 2026

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
Published on: December 1, 2023
Comparing performance of computational tools for combinatorial library design
Erik Evensen1, John E Eksterowicz, Robert V Stanton
1Deltagen Research Labs, Redwood City, CA 94063, USA. ee@sunesis.com
Abstract:
In using computational tools for library design it is necessary to understand the performance and limitations of available methods. This letter reports systematic comparisons of applying ligand-based and structure-based tools across therapeutic project-derived data sets. Included are assessments of performance in real-world iterative design applications and the utility of target structural information. The results suggest that combining screening and target structure information is robust; further, a well-designed screening library can compensate for lacking structural information.
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