Bioinformatics AdvancesBioinformaticsPeer-reviewed journal article
User-driven development and evaluation of an agentic framework for analysis of large pathway diagrams
Marie CorradiiD, Ivo DjidrovskiiD, Luiz LadeiraiD, Bernard StaumontiD, Anouk VerhoeveniD, Julen Sanz-SerranoiD, Adrien RougnyiD, Ahmad VaeziD, Ahmed Abdelmonem HemedaniD, Alexander MazeiniD, Anna NiarakisiD, Arthur C. SilvaiD, Charles AuffrayiD, Egon WillighageniD, Eliška KuchovskáiD, Falk SchreiberiD, Irina BalauriD, Laurence CalzoneiD, Lisa R. MatthewsiD, Lorenzo VeschiniiD, Marc E. GillespieiD, Martina KutmoniD, Matthias KönigiD, Matti HochiD, Noriko F. HiroiiD, , Marek OstaszewskiiD
Abstract
As biomedical knowledge keeps growing, resources storing available information multiply and grow in size and complexity. Such resources can be in the format of molecular interaction maps, which represent cellular and molecular processes under normal or pathological conditions. However, these maps can be complex and hard to navigate, especially to novice users. Large Language Models (LLMs), particularly in the form of agentic frameworks, have emerged as a promising technology to support this exploration. In this article, we describe a user-driven process of prototyping, development, and user testing of Llemy, an LLM-based system for exploring these molecular interaction maps. By involving domain experts from the very first prototyping in the form of a hackathon and collecting both fine-grained and general feedback on more refined versions, we were able to evaluate the perceived utility and quality of the developed system, in particular for summarising maps and pathways, as well as prioritise the development of future features. We recommend continued user-driven development and benchmarking to keep the community engaged. This will also facilitate the transition towards open-weight LLMs to support the needs of the open research environment in an ever-changing technology landscape.
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