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TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
Yiqing Shen;Zan Chen;Michail Mamalakis;Yungeng Liu;Tianbin Li;Yanzhou Su;Junjun He;Pietro Liò;Yu Guang Wang
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
The structural similarities between protein sequences and natural languages have led to parallel advancements in deep learning across both domains. While large language models (LLMs) have achieved much progress in the domain of natural language processing, their potential in protein engineering remains largely unexplored. Previous approaches have equipped LLMs with protein understanding capabiliti...Show More
FalconProtein: Finetuning Falcon Foundation Model for Protein Engineering
Wenjun Yang;Yiqing Shen;Zehong Wang;Rui Zhao;Qitong Lu;Xinsheng Liu;Yungeng Liu;Merouane Debbah;Yu Guang Wang;Shir Li Wang
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2024 | Conference Paper |
Large Language Models (LLMs) have demonstrated zero-shot generalization capabilities in analyzing and predicting protein properties through natural language interactions. However, existing protein-focused datasets for LLM fine-tuning, such as ProteinLMDataset with its 17.46 billion tokens for pre-training and 893,000 instructions for fine-tuning, face limitations. Specifically, they include insuff...Show More
Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2024 | Conference Paper |
Recent advancements in Large Language Models (LLMs) have enhanced efficiency across various domains, including protein engineering, where they offer promising opportunities for dry lab and wet lab experiment workflow automation. Previous work, namely TourSynbio-Agent, integrates a protein-specialized multimodal LLM (i.e. TourSynbio-7B) with domain-specific deep learning (DL) models to streamline b...Show More
TourSynbio-Search: A Large Language Model Driven Agent Framework for Unified Search Method for Protein Engineering
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2024 | Conference Paper |
The exponential growth in protein-related databases and scientific literature, combined with increasing demands for efficient biological information retrieval, has created an urgent need for unified and accessible search methods in protein engineering research. We present TourSynbio-Search, a novel bioinformatics search agent framework powered by the TourSynbio7B protein multimodal large language ...Show More
Numerical Simulation on Overturning Behavior About Single Pile Foundation under Lateral Loadings
2013 Fifth International Conference on Measuring Technology and Mechatronics Automation
Year: 2013 | Conference Paper |
Cited by: Papers (1)
For some structures, the overturning behavior of a single pile foundation will be the controlling factor. This paper is to present the overturning behaviors about prismatic, belled and step tapered single piles by using the FEM method. The interaction laws between foundations and the soil were investigated. Based on these results, the antidumping countermeasures were suggested, thus to solve anti-...Show More
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