Yadong Chen - RankMe

23 papers Misc 1Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoDrug: A Text-Driven Molecular Virtual Screening and Multiproperty Optimization Framework via Multimodal Language Model. J. Chem. Inf. Model. Rui Gu, Yingxu Liu, Bingxing Zhu, Li Liang, Haichun Liu, Yanmin Zhang, Yadong Chen
2025	J	`jnl`	CGPDTA: An Explainable Transfer Learning-Based Predictor With Molecule Substructure Graph for Drug-Target Binding Affinity. J. Comput. Chem. Qing Fan, Yingxu Liu, Simeng Zhang, Xiangzhen Ning, Chengcheng Xu, Weijie Han, Yanmin Zhang, Yadong Chen, Jun Shen, Haichun Liu
2025	J	`jnl`	Discovery of Novel MsbA Inhibitors with a Bivalent Molecular Generative Model. J. Chem. Inf. Model. Haodi Qiu, Lei Wang, Baiqing Li, Song Wu, Yadong Chen, Ting Ran, Jie Xia, Hongming Chen
2025	J	`jnl`	MTGNN: A Drug-Target-Disease Triplet Association Prediction Model Based on Multimodal Heterogeneous Graph Neural Networks and Direction-Aware Metapaths. J. Chem. Inf. Model. Lidan Zheng, Simeng Zhang, Yihao Li, Yang Liu, Qian Ge, Lingxi Gu, Yu Xie, Xiao Wang, Yunfei Ma, Junfei Liu, Mengyi Lu, Yadong Chen, Yong Zhu, Haichun Liu
2024	J	`jnl`	CPIScore: A Deep Learning Approach for Rapid Scoring and Interpretation of Protein-Ligand Binding Interactions. J. Chem. Inf. Model. Li Liang, Yunxin Duan, Chen Zeng, Boheng Wan, Huifeng Yao, Haichun Liu, Tao Lu, Yanmin Zhang, Yadong Chen, Jun Shen
2024	J	`jnl`	Constructing Innovative Covalent and Noncovalent Compound Libraries: Insights from 3D Protein-Ligand Interactions. J. Chem. Inf. Model. Xiaohe Xu, Weijie Han, Xiangzhen Ning, Chengdong Zang, Chengcheng Xu, Chen Zeng, Chengtao Pu, Yanmin Zhang, Yadong Chen, Haichun Liu
2024	J	`jnl`	Prediction of Human Liver Microsome Clearance with Chirality-Focused Graph Neural Networks. J. Chem. Inf. Model. Chengtao Pu, Lingxi Gu, Yuxuan Hu, Weijie Han, Xiaohe Xu, Haichun Liu, Yadong Chen, Yanmin Zhang
2024	Misc	`conf`	TD-GPT: Target Protein-Specific Drug Molecule Generation GPT. ICASSP Zhengda He, Linjie Chen, Jiaying Xu, Hao Lv, Rui-ning Zhou, Jianhua Hu, Yadong Chen, Yang Gao
2023	—	`conf`	A Novel Descriptor and Molecular Graph-Based Bimodal Contrastive Learning Framework for Drug Molecular Property Prediction. ICIC (3) Zhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao
2023	J	`jnl`	An Interpretable Multitask Framework BiLAT Enables Accurate Prediction of Cyclin-Dependent Protein Kinase Inhibitors. J. Chem. Inf. Model. Xu Qian, Xiaowen Dai, Lin Luo, MingDe Lin, Yuan Xu, Yang Zhao, Dingfang Huang, Haodi Qiu, Li Liang, Haichun Liu, Yingbo Liu, Lingxi Gu, Tao Lu, Yadong Chen, Yanmin Zhang
2023	—	`conf`	EEG Convolutional Sparse Transformer for Epilepsy Detection and Related Drug Classification. ICIC (3) Zhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao
2023	J	`jnl`	RPBP: Deep Retrosynthesis Reaction Prediction Based on Byproducts. J. Chem. Inf. Model. Yingchao Yan, Yang Zhao, Huifeng Yao, Jie Feng, Li Liang, Weijie Han, Xiaohe Xu, Chengtao Pu, Chengdong Zang, Lingfeng Chen, YuanYuan Li, Haichun Liu, Tao Lu, Yadong Chen, Yanmin Zhang
2022	J	`jnl`	Effective Reaction-Based J. Chem. Inf. Model. Yi Hua, Xiaobao Fang, Guomeng Xing, Yuan Xu, Li Liang, Chenglong Deng, Xiaowen Dai, Haichun Liu, Tao Lu, Yanmin Zhang, Yadong Chen
2022	J	`jnl`	KID: A Kinase-Focused Interaction Database and Its Application in the Construction of Kinase-Focused Molecule Databases. J. Chem. Inf. Model. Xiaowen Dai, Yuan Xu, Haodi Qiu, Xu Qian, MingDe Lin, Lin Luo, Yang Zhao, Dingfang Huang, Yanmin Zhang, Yadong Chen, Haichun Liu, Yulei Jiang
2020	J	`jnl`	Discovery of Dual FGFR4 and EGFR Inhibitors by Machine Learning and Biological Evaluation. J. Chem. Inf. Model. Xingye Chen, Wuchen Xie, Yan Yang, Yi Hua, Guomeng Xing, Li Liang, Chenglong Deng, Yuchen Wang, Yuanrong Fan, Haichun Liu, Tao Lu, Yadong Chen, Yanmin Zhang
2020	J	`jnl`	In Silico Design and Analysis of a Kinase-Focused Combinatorial Library Considering Diversity and Quality. J. Chem. Inf. Model. Yan Yang, Yanmin Zhang, Yi Hua, Xingye Chen, Yuanrong Fan, Yuchen Wang, Li Liang, Chenglong Deng, Tao Lu, Yadong Chen, Haichun Liu
2019	J	`jnl`	In Silico Prediction of Human Intravenous Pharmacokinetic Parameters with Improved Accuracy. J. Chem. Inf. Model. Yuchen Wang, Haichun Liu, Yuanrong Fan, Xingye Chen, Yan Yang, Lu Zhu, Junnan Zhao, Yadong Chen, Yanmin Zhang
2019	J	`jnl`	Investigation of Crystal Structures in Structure-Based Virtual Screening for Protein Kinase Inhibitors. J. Chem. Inf. Model. Xingye Chen, Haichun Liu, Wuchen Xie, Yan Yang, Yuchen Wang, Yuanrong Fan, Yi Hua, Lu Zhu, Junnan Zhao, Tao Lu, Yadong Chen, Yanmin Zhang
2017	J	`jnl`	Potent Pan-Raf and Receptor Tyrosine Kinase Inhibitors Based on a Cyclopropyl Formamide Fragment Overcome Resistance. J. Chem. Inf. Model. Yanmin Zhang, Lu Wang, Qing Zhang, Gaoyuan Zhu, Zhimin Zhang, Xiang Zhou, Yadong Chen, Tao Lu, Weifang Tang
2014	J	`jnl`	Molecular Modeling of Exquisitely Selective c-Met Inhibitors through 3D-QSAR and Molecular Dynamics Simulations. J. Chem. Inf. Model. Haoliang Yuan, Jin Zhuang, Shihe Hu, Huifang Li, Jinxing Xu, Yaning Hu, Xiao Xiong, Yadong Chen, Tao Lu
2013	J	`jnl`	An Integrated Virtual Screening Approach for VEGFR-2 Inhibitors. J. Chem. Inf. Model. Yanmin Zhang, Shangyan Yang, Yu Jiao, Haichun Liu, Haoliang Yuan, Shuai Lu, Ting Ran, Sihui Yao, Zhipeng Ke, Jinxing Xu, Xiao Xiong, Yadong Chen, Tao Lu
2013	J	`jnl`	Fragment-based strategy for structural optimization in combination with 3D-QSAR. J. Comput. Aided Mol. Des. Haoliang Yuan, Wenting Tai, Shihe Hu, Haichun Liu, Yanmin Zhang, Sihui Yao, Ting Ran, Shuai Lu, Zhipeng Ke, Xiao Xiong, Jinxing Xu, Yadong Chen, Tao Lu
2011	J	`jnl`	Novel Strategy for Three-Dimensional Fragment-Based Lead Discovery. J. Chem. Inf. Model. Haoliang Yuan, Tao Lu, Ting Ran, Haichun Liu, Shuai Lu, Wenting Tai, Ying Leng, Weiwei Zhang, Jian Wang, Yadong Chen

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.