Integrating phytochemicals and in silico methods for modern drug discovery: a comprehensive review

Abstract Phytochemicals have long played a central role in drug discovery due to their structural diversity and broad biological activity. This review explores the progression of natural product-based drug development, highlighting how traditional knowledge and modern scientific tools are increasingly being combined. Medicinal plants identified through ethnopharmacological practices continue to guide the search for bioactive compounds, while advancements in screening techniques and structural analysis have improved the isolation and characterization of these substances. The review discusses the wide range of pharmacological actions found in plant-derived compounds. Their mechanisms of action and potential for synergistic effects are examined in detail. The application of molecular docking, QSAR modeling, and molecular dynamics simulations is also addressed, showing how these tools support the evaluation and optimization of phytochemicals as potential drug candidates. Increasingly, plant compounds are being used as starting points in the design of targeted therapies and are also being explored in combination with conventional drugs to enhance therapeutic outcomes. This review emphasizes the value of a cross-disciplinary approach that brings together traditional medicine, natural products chemistry, and computational research to support innovation in drug development.

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Institutions

Publication Details

Journal
Discover Chemistry.
Published
2025-12-01
DOI
https://doi.org/10.1007/s44371-025-00373-y
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
4.51
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article

Integrating phytochemicals and in silico methods for modern drug discovery: a comprehensive review

Waheed Sakariyau Adio, Kosisochukwu Dematus Onyeagba, Sónia Gabriel, Aderonke Elizabeth Fakayode et al.
3 citations
Discover Chemistry.
Computational Drug Discovery Methods
4.51
article

Integrating phytochemicals and in silico methods for modern drug discovery: a comprehensive review

Waheed Sakariyau Adio, Kosisochukwu Dematus Onyeagba, Sónia Gabriel, Aderonke Elizabeth Fakayode, Paul Olamide Ottu, Olorunfemi Oyewole Babalola, Kpomah Bridget, Godspower Oyubu, Samuel Ayomikun Ajiboye, Hameedah Oluwatoyin Adebimpe, Rachael Taiwo Tiamiyu, Adeleye Adegboyega Edema, Adebisola Joy Fakayode, Comfort Oluseun Fakunle, Udensi Great Chukwuma
article en
3 citations

Abstract

Abstract Phytochemicals have long played a central role in drug discovery due to their structural diversity and broad biological activity. This review explores the progression of natural product-based drug development, highlighting how traditional knowledge and modern scientific tools are increasingly being combined. Medicinal plants identified through ethnopharmacological practices continue to guide the search for bioactive compounds, while advancements in screening techniques and structural analysis have improved the isolation and characterization of these substances. The review discusses the wide range of pharmacological actions found in plant-derived compounds. Their mechanisms of action and potential for synergistic effects are examined in detail. The application of molecular docking, QSAR modeling, and molecular dynamics simulations is also addressed, showing how these tools support the evaluation and optimization of phytochemicals as potential drug candidates. Increasingly, plant compounds are being used as starting points in the design of targeted therapies and are also being explored in combination with conventional drugs to enhance therapeutic outcomes. This review emphasizes the value of a cross-disciplinary approach that brings together traditional medicine, natural products chemistry, and computational research to support innovation in drug development.

Discover Chemistry.Vol. 2(1)
Lagos State University (NG), Wayne State University (US), Delta State University (NG), University of Abuja (NG), Old Dominion University (US), Olusegun Agagu University of Science and Technology (NG)
Openalex Percentile: Top 5%
Computational Drug Discovery Methods
4.51
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