2024年3月27日 · We propose a novel framework called MSI-DTI (Multi-Source Information-based Drug-Target Interaction Prediction) to enhance prediction performance, which obtains feature representations from different views by integrating biometric features and knowledge graph representations from multi-source information.

MSI-DTI: Predicting Drug-Target Interaction Based on Multi-Source Information and Multi-Head Self-Attention Resources

6 天之前 · Integrating feature representations from multiple information sources and comprehensively mines the biological sequence information, structural information, and network topology characteristics of drugs and targets.

药物靶标相互作用(Drug-Target Interaction，DTI)预测是加速新药研发、优化临床试验设计、提高药物重定位成功率等的关键环节，对医药行业和人类健康事业意义重大。

2024年9月13日 · 作者基于端到端的深度学习框架开发了一个名为 CoaDTI 的方法，用来提高药物靶标注释的效率和可解释性。 CoaDTI 结合了共同注意机制模拟来自药物模态和蛋白质模态的相互作用信息。

2024年11月13日 · 识别药物-靶点相互作用（dti）是药物再利用和药物发现的关键步骤。 通过模型计算准确识别 DTI 可以显著缩短开发时间并降低成本。 最近，提出许多基于序列的方法用于 DTI 预测 ，并通过引入注意机制来提高性能。

We propose a novel framework called MSI-DTI (Multi-Source Information-based Drug-Target Interaction. Prediction) to enhance prediction performance, which obtains feature representations from different views by integrating biometric features and knowledge graph representations from multi-source information.

2024年8月11日 · main文件与readme文件中均介绍以KIBA数据集为例，但main文件中读取的数据为Yamanishi08，且并非原始的yamanishi数据集，而是处理后的dti_all.txt和network.txt，该数据集的相关信息在之前的代码及数据介绍中从未出现过，且并未给出处理过程或该数据集的相关文件。

2024年10月23日 · In this study, we introduce the CWI-DTI method, which achieves high-accuracy prediction of DTIs using a large dataset of interactive relationships of drug ingredients or candidate targets. Moreover, we present a novel dataset to evaluate the prediction accuracy of both Chinese and Western medicine.

2021年6月28日 · To solve this problem, we proposed a multi-modal DTI prediction model named ‘MultiDTI’ which uses our proposed joint learning framework based on heterogeneous networks. It combines the interaction or association information of the heterogeneous network and the drug/target sequence information, and maps the drugs, targets, side effects and ...