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Updated: Jun 12, 2026

Using LEXY and LINuS Optogenetics Tools and Automated Image Analysis to Quantify Nucleocytoplasmic Transport Dynamics in Live Cells
Published on: July 22, 2025
YLoc--an interpretable web server for predicting subcellular localization
Sebastian Briesemeister1, Jörg Rahnenführer, Oliver Kohlbacher
1Division for Simulation of Biological Systems, Universität Tübingen, Tübingen, Germany. briese@informatik.uni-tuebingen.de
Abstract:
Predicting subcellular localization has become a valuable alternative to time-consuming experimental methods. Major drawbacks of many of these predictors is their lack of interpretability and the fact that they do not provide an estimate of the confidence of an individual prediction. We present YLoc, an interpretable web server for predicting subcellular localization. YLoc uses natural language to explain why a prediction was made and which biological property of the protein was mainly responsible for it. In addition, YLoc estimates the reliability of its own predictions. YLoc can, thus, assist in understanding protein localization and in location engineering of proteins. The YLoc web server is available online at www.multiloc.org/YLoc.
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