文献库，生知库 | 链接生命科学的每一步

Diagnostic and interpretive gains from reasoning over conclusions with a large reasoning model in radiology

在放射学中，利用大型推理模型进行推理而非得出结论，可以提高诊断和解释效果。

Wang, Ruixin; Wang, Jinghang; Wang, Yisong; Zheng, Chao; Huang, Sihong; Liu, Xiaohui; Tan, Guoping; Zhao, Wei; Wang, Zhiyuan; Peng, Shaoliang; Liu, Jun

发表日期：2025

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MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model

MegSite：一种基于多模态蛋白质语言模型的精确核酸结合残基预测方法

期刊:Briefings in Bioinformatics

影响因子:7.7

doi:10.1093/bib/bbaf524

Hu, Feng; Zeng, Wenwu; Peng, Shaoliang

发表日期：2025

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CPDP: Contrastive Protein-Drug Pre-Training for Novel Drug Discovery

CPDP：用于新型药物发现的对比蛋白质-药物预训练

期刊:International Journal of Molecular Sciences

影响因子:4.9

doi:10.3390/ijms26083761

Zhang, Shihan; Wang, Xiaoqi; Li, Fei; Peng, Shaoliang

发表日期：2025

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Improving prediction performance of general protein language model by domain-adaptive pretraining on DNA-binding protein.

通过对 DNA 结合蛋白进行领域自适应预训练，提高通用蛋白质语言模型的预测性能

期刊:Nature Communications

影响因子:15.7

doi:10.1038/s41467-024-52293-7

Zeng Wenwu, Dou Yutao, Pan Liangrui, Xu Liwen, Peng Shaoliang

免疫/内分泌

发表日期：2024

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Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer

基于特征交互式孪生图编码器的图像分析方法，用于从肺癌组织病理学图像中预测STAS

期刊:npj Precision Oncology

影响因子:8

doi:10.1038/s41698-024-00771-y

Pan, Liangrui; Liang, Qingchun; Zeng, Wenwu; Peng, Yijun; Zhao, Zhenyu; Liang, Yiyi; Luo, Jiadi; Wang, Xiang; Peng, Shaoliang

MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA-disease associations prediction

MUSCLE：用于预测microRNA-疾病关联的多视角、多尺度注意力特征融合

期刊:Briefings in Bioinformatics

影响因子:7.7

doi:10.1093/bib/bbae167

Ji, Boya; Zou, Haitao; Xu, Liwen; Xie, Xiaolan; Peng, Shaoliang

发表日期：2024

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scDCA: deciphering the dominant cell communication assembly of downstream functional events from single-cell RNA-seq data

scDCA：从单细胞RNA测序数据中解析下游功能事件的主要细胞通讯机制

期刊:Briefings in Bioinformatics

影响因子:7.7

doi:10.1093/bib/bbae663

Ji, Boya; Wang, Xiaoqi; Wang, Xiang; Xu, Liwen; Peng, Shaoliang

CellMsg: graph convolutional networks for ligand-receptor-mediated cell-cell communication analysis

CellMsg：用于配体-受体介导的细胞间通讯分析的图卷积网络

期刊:Briefings in Bioinformatics

影响因子:7.7

doi:10.1093/bib/bbae716

Xia, Hong; Ji, Boya; Qiao, Debin; Peng, Shaoliang

MHGTMDA: Molecular heterogeneous graph transformer based on biological entity graph for miRNA-disease associations prediction

MHGTMDA：基于生物实体图的分子异质图转换器，用于预测miRNA与疾病的关联

期刊:Molecular Therapy-Nucleic Acids

影响因子:6.1

doi:10.1016/j.omtn.2024.102139

Zou, Haitao; Ji, Boya; Zhang, Meng; Liu, Fen; Xie, Xiaolan; Peng, Shaoliang

miRNA

发表日期：2024

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Multimodal pre-training models of molecular representation for drug discovery

用于药物发现的分子表征多模态预训练模型

Diagnostic and interpretive gains from reasoning over conclusions with a large reasoning model in radiology

在放射学中，利用大型推理模型进行推理而非得出结论，可以提高诊断和解释效果。

MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model

MegSite：一种基于多模态蛋白质语言模型的精确核酸结合残基预测方法

CPDP: Contrastive Protein-Drug Pre-Training for Novel Drug Discovery

CPDP：用于新型药物发现的对比蛋白质-药物预训练

Improving prediction performance of general protein language model by domain-adaptive pretraining on DNA-binding protein.

通过对 DNA 结合蛋白进行领域自适应预训练，提高通用蛋白质语言模型的预测性能

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer

基于特征交互式孪生图编码器的图像分析方法，用于从肺癌组织病理学图像中预测STAS

MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA-disease associations prediction

MUSCLE：用于预测microRNA-疾病关联的多视角、多尺度注意力特征融合

scDCA: deciphering the dominant cell communication assembly of downstream functional events from single-cell RNA-seq data

scDCA：从单细胞RNA测序数据中解析下游功能事件的主要细胞通讯机制

CellMsg: graph convolutional networks for ligand-receptor-mediated cell-cell communication analysis

CellMsg：用于配体-受体介导的细胞间通讯分析的图卷积网络

MHGTMDA: Molecular heterogeneous graph transformer based on biological entity graph for miRNA-disease associations prediction

MHGTMDA：基于生物实体图的分子异质图转换器，用于预测miRNA与疾病的关联