most citedBolek: A Multimodal Language Model for Molecular Reasoning

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2026

The Geometry of Activity Cliffs: Representation Dependence and Multi-Scale Characterization of Activity Landscapes

Pawel Dabrowski-Tumanski, Bartosz Topolski, Dariusz Plewczynski +1

Activity cliffs, structurally similar compounds with large potency differences, are widely treated as intrinsic features of chemical datasets. We argue that apart from target biolo…

q-bio.GN2026

OmicsLM: A Multimodal Large Language Model for Multi-Sample Omics Reasoning

Maciej Sypetkowski, Joanna Krawczyk, Łukasz Smoliński +4

Interpreting transcriptomic data is one of the most common analytical tasks in modern biology. Yet most current models either consume expression profiles without producing natural-…

cs.AI2026

BioResearcher: Scenario-Guided Multi-Agent for Translational Medicine

Remigiusz Kinas, Joanna Krawczyk, Rafał Powalski +6

Translational medicine turns underspecified development goals into evidence synthesis that must combine literature, trials, patents, and quantitative multi-omics analysis while pre…

cs.AI2026

An explainable hypothesis-driven approach to Drug-Induced Liver Injury with HADES

Maciej Wisniewski, Bartosz Topolski, Pawel Dabrowski-Tumanski +2

Drug-induced liver injury (DILI) remains a leading cause of late-stage clinical trial attrition. However, existing computational predictors primarily rely on binary classification,…

cs.LG20261 cited

Bolek: A Multimodal Language Model for Molecular Reasoning

Frederic Grabowski, Jacek Szczerbiński, Maciej Jaśkowski +4

Molecular property models increasingly support high-stakes drug-discovery decisions, but their outputs are often difficult to audit: classical predictors return scores without rati…