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Rim Shayakhmetov

2 papers indexed

arxivcs.LGcs.AIcs.CL2026-07-20

Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints

Thomas MacDougall, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Maxim Malkov, Vladimir Aladinskiy, et al.

Structure-based drug design (SBDD) leverages the 3D structure of protein targets, often complemented by other spatial constraints, to generate candidate binding molecules. While diffusion models have dominated as a leading paradigm for high-quality 3D molecule generation, LLM-bas…

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arxivcs.LGcs.AIcs.CEcs.CL2026-07-06

URSA: Chemistry-Aware Benchmark for Utilitarian Retrosynthesis Assessment

Bogdan Zagribelnyy, Ivan Ilin, Nikita Bondarev, Anton Morgunov, Arkadii Lin, Maksim Kuznetsov, et al.

Synthesis planning aiming to find pathways of reactions for a target molecule is one of the most important and challenging tasks in drug discovery. Recent progress has produced both specialized deep-learning retrosynthesis systems and general-purpose large language models, but ob…

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