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Briefings in Bioinformatics • Vol 25 • No 3
MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention
2024
Abstract Identifying drug-target interactions (DTIs) holds significant importance in drug discovery and development, playing a crucial role in various areas such as virtual screening, drug repurposing and identification of potential drug side effects. However…
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Data Mining

Process of extracting and discovering patterns in large data sets

Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.

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Briefings in Bioinformatics • Vol 25 • No 3
MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention
2024
Abstract Identifying drug-target interactions (DTIs) holds significant importance in drug discovery and development, playing a crucial role in various areas such as virtual screening, drug repurposing and identification of potential drug side effects. However, existing methods commonly exploit only a single type of feature from drugs and targets, suffering from miscellaneous challenges such as high sparsity and cold-start problems. We propose a novel framework called MSI-DTI (Multi-Source Information-based Drug-Ta…
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Computer Science
Benchmark (Surveying)
Artificial Intelligence
Machine Learning
Drug
Theoretical Computer Science
Botany
Geodesy
Philosophy
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Psychiatry
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Statistics
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