MedChemLens: An Interactive Visual Tool to Support Direction Selection in Interdisciplinary Experimental Research of Medicinal Chemistry

Chuhan Shi, Fei Nie, Yicheng Hu, Yige Xu, Lei Chen, Xiaojuan Ma, Qiong Luo

View presentation:2022-10-19T14:36:00ZGMT-0600Change your timezone on the schedule page
2022-10-19T14:36:00Z
Exemplar figure, described by caption below
MedChemLens: The Drug Target Search view allows users to search drug targets. The Signaling Pathway view presents the signaling pathways of the targets under search. The Overview shows the overall distributions of the existing drug compound research. The Publication Trend view displays the number of publications over time related to the targets. The Detail View consists of the Chemistry panel, which summarizes the drug compounds proposed in chemical publications; the Pharmacology panel, which displays the molecular feature values of the compounds tested in pharmacological assays; and the Clinical Pharmacy panel, which visualizes the clinical trial progress of the compounds.

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Abstract

Interdisciplinary experimental science (e.g., medicinal chemistry) refers to the disciplines that integrate knowledge from different scientific backgrounds and involve experiments in the research process. Deciding "in what direction to proceed" is critical for the success of the research in such disciplines, since the time, money, and resource costs of the subsequent research steps depend largely on this decision. However, such a direction identification task is challenging in that researchers need to integrate information from large-scale, heterogeneous materials from all associated disciplines and summarize the related publications of which the core contributions are often showcased in diverse formats. The task also requires researchers to estimate the feasibility and potential in future experiments in the selected directions. In this work, we selected medicinal chemistry as a case and presented an interactive visual tool, MedChemLens, to assist medicinal chemists in choosing their intended directions of research. This task is also known as drug target (i.e., disease-linked proteins) selection. Given a candidate target name, MedChemLens automatically extracts the molecular features of drug compounds from chemical papers and clinical trial records, organizes them based on the drug structures, and interactively visualizes factors concerning subsequent experiments. We evaluated MedChemLens through a within-subjects study (N=16). Compared with the control condition (i.e., unrestricted online search without using our tool), participants who only used MedChemLens reported faster search, better-informed selections, higher confidence in their selections, and lower cognitive load.