arXiv (All)
open access
Small Molecule Optimization with Large Language Models
Molecular optimization, the process of designing molecules with desirable properties, represents a critical challenge in drug discovery. The recent advancements in large language models (LLMs) have opened new opportunities for their integration with traditional molecular optimization algorithms to i
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark#1105098
- Generative pretraining for drug molecule design with bidirectional structure-property optimization.#988472
- Editorial: Computational approaches in pharmacological research and drug development: how to overcome the challenges of complex matrices in ethnopharmacology, therapeutics, and formulation design.#433846
- Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design#31253
- Recent applications of artificial intelligence in RNA-targeted small molecule drug discovery#286845
Record · ID 986765
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive