日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Mechanical Force Promotes Mitochondrial Transfer From Macrophages to BMSCs to Enhance Bone Formation

机械力促进巨噬细胞向骨髓间充质干细胞转移线粒体,从而增强骨形成

Li, Yingyi; Yan, Ziwei; Dai, Yueming; Cai, Hanjia; Chen, Yue; Chen, Yuyi; Jin, Ruofan; Sun, Wen; Wang, Hua

Multi-strategy embedded framework for neoantigen vaccine maturation

新抗原疫苗成熟的多策略嵌入式框架

Zhang, Guanqiao; Fu, Yaqi; Chan, Kevin C; Jin, Ruofan; Yang, Yuxuan; Fu, Lei; Zhou, Ruhong

NLRP3 inflammasome impairs fracture repair in Rheumatoid arthritis through RhoA/Rac1-IL1β axis-mediated suppression of osteoblast differentiation.

NLRP3炎症小体通过RhoA/Rac1-IL1β轴介导的成骨细胞分化抑制,损害类风湿性关节炎的骨折修复

Miao Fen, Cai Hanjia, Chen Yue, Yan Ziwei, Jin Ruofan, Dai Yueming, Li Lu, Wang Hua, Xu Yan, Sun Wen

Recent advances in antibody optimization based on deep learning methods

基于深度学习方法的抗体优化研究的最新进展

Jin, Ruofan; Zhou, Ruhong; Zhang, Dong

Temporal Summation of Repetitive Mechanical Stimulation in Patients with Painful Temporomandibular Joints and Healthy Controls

颞下颌关节疼痛患者和健康对照组重复机械刺激的时间总和效应

Xi, Xiaojing; Jin, Ruofan; Yu, Linfeng; Shi, Jiali; Wang, Chen; Wang, Kelun; Zhang, Jinglu; Chen, Yinan; Zhou, Weina

EpiMII: Integrating Structure and Graph Neural Networks for MHC-II Epitope and Neoantigen Design

EpiMII:整合结构和图神经网络进行MHC-II表位和新抗原设计

Yuan, Jiayi; Xu, Xiaowei; Sun, Ze-Yu; Liang, Tianjian; Ge, Jingxuan; Jin, Ruofan; Xie, Xiang-Qun; Chen, Yan; Hou, Tingjun; Feng, Zhiwei

FoldMark: Safeguarding Protein Structure Generative Models with Distributional and Evolutionary Watermarking

FoldMark:利用分布和进化水印保护蛋白质结构生成模型

Zhang, Zaixi; Jin, Ruofan; Xu, Guangxue; Wang, Xiaotong; Zitnik, Marinka; Cong, Le; Wang, Mengdi

AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences

AttABseq:一种基于注意力机制的深度学习预测方法,用于预测基于蛋白质序列的抗原-抗体结合亲和力变化。

Jin, Ruofan; Ye, Qing; Wang, Jike; Cao, Zheng; Jiang, Dejun; Wang, Tianyue; Kang, Yu; Xu, Wanting; Hsieh, Chang-Yu; Hou, Tingjun

Highly Accurate and Efficient Deep Learning Paradigm for Full-Atom Protein Loop Modeling with KarmaLoop

KarmaLoop:一种用于全原子蛋白质环建模的高精度、高效率深度学习范式

Wang, Tianyue; Zhang, Xujun; Zhang, Odin; Chen, Guangyong; Pan, Peichen; Wang, Ercheng; Wang, Jike; Wu, Jialu; Zhou, Donghao; Wang, Langcheng; Jin, Ruofan; Chen, Shicheng; Shen, Chao; Kang, Yu; Hsieh, Chang-Yu; Hou, Tingjun

Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency

基于大规模数据集的蛋白质环建模程序综合评估:预测准确性和效率

Wang, Tianyue; Wang, Langcheng; Zhang, Xujun; Shen, Chao; Zhang, Odin; Wang, Jike; Wu, Jialu; Jin, Ruofan; Zhou, Donghao; Chen, Shicheng; Liu, Liwei; Wang, Xiaorui; Hsieh, Chang-Yu; Chen, Guangyong; Pan, Peichen; Kang, Yu; Hou, Tingjun