MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular Optimization
Open Access
- 1 January 2025
- conference paper
- Published by Association for Computational Linguistics (ACL)
- p. 11544-11573
Abstract
Hyomin Kim, Yunhui Jang, Sungsoo Ahn. Findings of the Association for Computational Linguistics: EMNLP 2025. 2025.Keywords
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This publication has 11 references indexed in Scilit:
- DrugAssist: a large language model for molecule optimizationBriefings in Bioinformatics, 2024
- Leveraging language model for advanced multiproperty molecular optimization via prompt engineeringNature Machine Intelligence, 2024
- Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement LearningJACS Au, 2024
- BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains2024
- Fighting reviewer fatigue or amplifying bias? Considerations and recommendations for use of ChatGPT and other large language models in scholarly peer reviewResearch Integrity and Peer Review, 2023
- Explaining Relationships Between Scientific Documents2021
- A graph-based genetic algorithm and generative model/Monte Carlo tree search for the exploration of chemical spaceChemical Science, 2019
- Molecular de-novo design through deep reinforcement learningJournal of Cheminformatics, 2017
- ZINC 15 – Ligand Discovery for EveryoneJournal of Chemical Information and Modeling, 2015
- SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rulesJournal of Chemical Information and Computer Sciences, 1988