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In the realm of drug development, pinpointing potential side-effects for promising medications is a pivotal phase. However, a significant and formidable obstacle emerges from the expensive and time-intensive nature of unraveling drug adverse effects. Traditional drug design, often fixated on individual target genes, tends to overlook broader systemic impacts, thereby hindering drug efficacy. Recent research on drug side-effect prediction has shifted towards methodical examinations of drug side-effect profiles.

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Weighted GTS Kernel and Applications in Drug Side-Effect Profiles Prediction

  • 章节

  • 发表日期：

    2026年

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  • Hao Jiang,
  • Wai-Ki Ching

摘要

In the realm of drug development, pinpointing potential side-effects for promising medications is a pivotal phase. However, a significant and formidable obstacle emerges from the expensive and time-intensive nature of unraveling drug adverse effects. Traditional drug design, often fixated on individual target genes, tends to overlook broader systemic impacts, thereby hindering drug efficacy. Recent research on drug side-effect prediction has shifted towards methodical examinations of drug side-effect profiles.