CADD Methods for Developing Novel Compounds Synthesized to Inhibit Tyrosine Kinase Receptors

Amal Bouribab1, Abdelkbir Errougui1, Samir Chtita1

  • 1Laboratory of Analytical and Molecular Chemistry, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Casablanca, Morocco.

Insights

This review highlights recent in silico drug discovery for cancer, focusing on novel tyrosine kinase inhibitors targeting angiogenesis. Computational methods accelerate the development of more effective cancer therapies.

Area of Science:

  • Biochemistry
  • Pharmacology
  • Computational Biology

Background:

  • Growth factors and receptor tyrosine kinases are crucial for cell functions and implicated in cancer development, especially angiogenesis.
  • Current FDA-approved tyrosine kinase inhibitors targeting angiogenesis show promise but limitations necessitate new drug development.
  • In silico studies offer significant cost and time advantages for drug design and discovery.

Purpose of the Study:

  • To review recent (2022-2024) in silico research on novel drug candidates for cancer treatment.
  • To focus on drugs targeting tyrosine kinase receptors involved in angiogenesis.
  • To identify emerging computational strategies in anti-angiogenic cancer therapy.

Main Methods:

  • Systematic literature review of in silico studies published between 2022 and 2024.
  • Analysis of computational approaches for designing tyrosine kinase inhibitors.
  • Focus on studies targeting angiogenesis pathways in cancer.

Main Results:

  • Identification of several promising new drug candidates through in silico drug design.
  • Validation of computational methods for predicting efficacy against tyrosine kinase targets.
  • Emerging trends in targeting angiogenesis via novel molecular scaffolds.

Conclusions:

  • In silico approaches are vital for accelerating the discovery of novel anti-cancer drugs.
  • Targeting tyrosine kinases involved in angiogenesis remains a key strategy in cancer therapy.
  • Continued in silico research is essential for developing next-generation cancer treatments.

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