研究论文
GraphkmerDTA: integrating local sequence patterns and topological information for drug-target binding affinity prediction and applications in multi-target anti-Alzheimer’s drug discovery
Zuolong Zhang, Gang Luo, Yixuan Ma, Zhaoqi Wu, Shuo Peng, Shengbo Chen, Yi Wu
Henan University Nanchang University Gannan Medical University Jinggangshan University
来源Molecular Diversity
年份2025
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逐年被引趋势
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1.37
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学术脉络
学科主题
计算机 / AIComputational Drug Discovery Methods
Bioinformatics and Genomic Networks · Microbial Natural Products and Biosynthesis
参考文献 47
InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams
被引 2,751Henry Heberle, Gabriela Vaz Meirelles, Felipe Rodrigues da Silva · BMC Bioinformatics · 2015
SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
被引 7,829David Weininger · Journal of Chemical Information and Computer Sciences · 1988
Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis
被引 664Jing Tang, Agnieszka Szwajda, Sushil Kumar Shakyawar · Journal of Chemical Information and Modeling · 2014
此处列出前 3 条
引用本文 2
SynerDTI: a synergistic deep learning framework for drug-target interaction prediction via global feature coordinated attention mechanism
被引 1Yuxuan Liao, Mugang Lin, Jia Peng · Molecular Diversity · 2026
SCAD-DTA: spherical concept alignment with dynamic multi-modal fusion for drug–target affinity prediction
被引 0Zhensong Wang, Weiliang Han, Ge Kong · Molecular Diversity · 2026
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