bioq: a unified, agent-native command-line interface to a fleet of AI drug-discovery methods
bioq provides a unified CLI to access a fleet of AI drug-discovery tools, enabling workflow automation without local setup or cloud configuration.
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Peking UniversityORCID 0000-0001-6711-4801Unclaimed ORCID profile · follow to get notified of new preprints
7 papers
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bioq provides a unified CLI to access a fleet of AI drug-discovery tools, enabling workflow automation without local setup or cloud configuration.
Ying Liu, Yongshuo Liu, Xuran Niu…·Wensheng Wei
The paper identifies functional mutations affecting PD-L1 and HLA-I expression using a large-scale CRISPR screen, revealing clinically relevant variants that influence immunotherapy response.
Zhiheng Liu, Giovanni Quinones-Valdez, Ting Fu…·Xinshu Grace Xiao
L-GIREMI detects RNA editing sites in long-read RNA-seq with high accuracy by addressing sequencing errors and biases.
Ryo Yamamoto, Zhiheng Liu, Mudra Choudhury, Xinshu Grace Xiao
dsRID predicts dsRNA regions using long-read RNA-seq data, showing high accuracy in Alzheimer's disease datasets and identifying distinct dsRNA expression patterns between AD and controls.
Ying Liu, Bo Ding, Lina Zheng…·Wensheng Wei
The paper identifies essential regulatory elements that maintain chromatin organization and cell viability through their role in 3D chromatin contacts, showing that non-essential genes can synergize to cause cell death.
Bo Ding, Ying Liu, Zhiheng Liu…·Wei Wang
The paper identifies non-coding genomic regions critical for chromatin organization and cell viability, showing their structural importance despite lacking epigenomic signals or annotated elements.
Liang Qu, Zongyi Yi, Shiyou Zhu…·Wensheng Wei
This paper introduces LEAPER, a method using endogenous ADAR proteins for targeted RNA editing, demonstrating its efficacy in restoring p53 function and catalytic activity in disease models.