Author

Mingjia Huo

University of California San DiegoORCID 0000-0003-1636-3933Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:large language model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Danielle Ann GrotjahniD· 2 shared Digvijay SinghiD· 2 shared Hamidreza RahmaniiD· 2 shared Pengtao XieiD· 2 shared Trey E. IdekeriD· 2 shared Atul MalhotraiD· 1 shared Chengzhan Gao· 1 shared Elizabeth VillaiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersPharmacology & Toxicology

Danielle Ann GrotjahnORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintSep 29, 2024

Multi-Modal Large Language Model Enables All-Purpose Prediction of Drug Mechanisms and Properties

Youwei Liang, Ruiyi Zhang, Yongce Li…·Pengtao Xie

DrugChat, a multi-modal LLM, predicts drug mechanisms and properties through free-form text, outperforming GPT-4 and specialized models in accuracy and versatility.

2 citations

deep learninglarge language model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 19, 2024

Multi-Modal Large Language Model Enables Protein Function Prediction

Mingjia Huo, Han Wen Guo, Xingyi Cheng…·Pengtao Xie

ProteinChat is a multi-modal large language model that predicts protein functions from amino acid sequences, outperforming general-purpose LLMs and task-specific models.

10 citations

protein sequencelarge language model

𝕏 PostBluesky