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Objective of the Review <p>Fungal resistance is a major public health concern that reduces the efficacy of antifungal therapies and increases hospital mortality rates. This review aims to discuss how bioinformatics tools contribute to understanding resistance mechanisms and to the rational design of novel antifungal agents. </p> Recent Findings <p>Bioinformatics approaches such as genomic analysis, protein structural modeling, and multi-omics integration have advanced the comprehension of fungal pathogen biology. These methods facilitate the identification of molecular targets and the strategic design of antifungal drugs. In silico techniques, including molecular docking and molecular modeling, have shown great potential for discovering and optimizing antifungal and adjuvant molecules that enhance existing therapies. Nevertheless, the limited availability of experimental data, high computational costs, and difficulties in clinical validation remain major barriers to translating these findings into therapeutic applications. </p> Summary <p>The integration of bioinformatics into antifungal research provides valuable insights into resistance mechanisms and drug development strategies. Despite current limitations, continuous investment in research and technological innovation is crucial to overcoming these challenges and broadening the antifungal therapeutic arsenal.</p>

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Bioinformatics in Antifungal Design: Strategies To Overcome Resistance from a Proteomic Perspective

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月24日

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  • Diego Romário-Silva,
  • Edja Maria Melo de Brito Costa,
  • Joanilda Paolla Raimundo Silva,
  • Letícia Targino Campos,
  • Vitória Marina Abrantes Batista,
  • Camila Vital de Araújo,
  • Sonaly Lima Albino,
  • Arthur Gabriel Corrêa de Farias,
  • Igor José dos Santos Nascimento,
  • Ricardo Olimpio de Moura

摘要

Objective of the Review

Fungal resistance is a major public health concern that reduces the efficacy of antifungal therapies and increases hospital mortality rates. This review aims to discuss how bioinformatics tools contribute to understanding resistance mechanisms and to the rational design of novel antifungal agents.

Recent Findings

Bioinformatics approaches such as genomic analysis, protein structural modeling, and multi-omics integration have advanced the comprehension of fungal pathogen biology. These methods facilitate the identification of molecular targets and the strategic design of antifungal drugs. In silico techniques, including molecular docking and molecular modeling, have shown great potential for discovering and optimizing antifungal and adjuvant molecules that enhance existing therapies. Nevertheless, the limited availability of experimental data, high computational costs, and difficulties in clinical validation remain major barriers to translating these findings into therapeutic applications.

Summary

The integration of bioinformatics into antifungal research provides valuable insights into resistance mechanisms and drug development strategies. Despite current limitations, continuous investment in research and technological innovation is crucial to overcoming these challenges and broadening the antifungal therapeutic arsenal.