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March 17, 2026Mini-Reviews in Medicinal Chemistry

Computational Innovations in Cancer Research and How Computing is Transforming Drug Discovery and Development: A Review

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Authors

ILIlavanalangki LytanBSBasanta SinghaNBNichan Boruah

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Overview

Review highlights how computational approaches improve drug discovery and therapy in cancer, indicating significant advancements in outcomes.

Key Points

  • The aim is to explore how computational methods enhance cancer research, especially in drug discovery and development.
  • Literature review on computational-aided drug design (CADD) in cancer research.
  • Focus on drug discovery, target identification, and compound optimization.
  • Evaluation of computational innovations like AI, ML, and quantum computing in cancer therapy.
  • CADD significantly enhances cancer drug discovery and reduces costs.
  • Methods like molecular docking and AI/ML models improve target identification and efficacy prediction.
  • Integration of multi-omics data aids in biomarker discovery and patient stratification.

Cite This Study

Lytan et al. (2026) studied this question.

synapsesocial.com/papers/69b8f10fdeb47d591b8c5d0chttps://doi.org/10.2174/0113895575418750251204104229
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