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LLMs show promise in drug discovery for small-molecule design

By PulseAugur Editorial · [2 sources] ·

Researchers are exploring the use of large language models (LLMs) for small-molecule design in drug discovery. One approach involves training LLMs on synthetic tasks that generalize to complex molecular optimization problems, showing promise in surpassing larger models. Another method combines LLMs with evolutionary algorithms to achieve new state-of-the-art results on molecular optimization benchmarks, particularly in multi-property optimization scenarios. AI

IMPACT These methods could accelerate drug discovery by improving the efficiency and effectiveness of designing molecules with desired properties.

RANK_REASON The cluster contains two academic papers published on arXiv detailing novel methods for using LLMs in molecular design and optimization.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLMs show promise in drug discovery for small-molecule design

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51 / 100
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The cluster contains two academic papers published on arXiv detailing novel methods for using LLMs in molecular design and optimization.
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2 independent sources
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Frank Hu, Shriram Chennakesavalu, Zichen Wang, Patricia Suriana, Bodhi Vani, Kirill Shmilovich, Kangway Chuang, Colin Grambow ·

    Training Large Language Models for Small-Molecule Design with Synthetic Task Scaling

    arXiv:2609.04735v1 Announce Type: new Abstract: Designing viable drug candidates requires searching a combinatorially large and rugged chemical space for molecules that satisfy multiple, often competing, objectives. Large language models (LLMs) provide a useful generative prior f…

  2. arXiv cs.LG TIER_1 English(EN) · Philipp Guevorguian, Menua Bedrosian, Tigran Fahradyan, Gayane Chilingaryan, Armen Aghajanyan, Hrant Khachatrian ·

    Small Molecule Optimization with Large Language Models

    arXiv:2407.18897v2 Announce Type: replace Abstract: Molecular optimization, the process of designing molecules with desirable properties, represents a critical challenge in drug discovery. Recent advancements in large language models (LLMs) have opened new opportunities for their…

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