Combinatorial QM and MD in silico design of natural product-based DHFR inhibitors

Cancer cells are distinguished from normal cells by their rapid rate of division. This high division rate can be explained by various factors, including unregulated cell cycle progression, which occurs when cancer cells bypass checkpoints; activation of growth signals in cancer cells; and override of growth suppressor factors, which generally regulate cell growth and division within physiological thresholds. Cancer cells bypass these controls due to genetic mutations or epigenetic changes. Additionally, changes in the tumor microenvironment (TME) can contribute to the accelerated growth and division of cancer cells. It is well established that cancer cells accumulate mutations more frequently than normal cells. This accumulation can, in part, explain their rapid rate of division. The cell cycle consists of four phases: G1, S, G2, and mitosis, with the first three phases categorized as interphase. When cancer cells experience division stress, their demand for nucleotide synthesis increases, which is essential for RNA and DNA synthesis. RNA synthesis primarily occurs during interphase, while DNA replication occurs in the S phase. One of the conserved enzymes involved in nucleotide synthesis is dihydrofolate reductase (DHFR). This enzyme's role in purine and thymidylate synthesis is crucial in cancerous cells under conditions of division stress. Methotrexate, a well-known DHFR inhibitor, has been introduced for the treatment of cancers such as meningeal leukemia, lymphoma, and breast cancer. While effective in alleviating cancer symptoms, methotrexate can cause adverse effects, including hepatotoxicity, pulmonary complications, and renal impairment. Based on these considerations, we applied combinatorial studies, including molecular dynamics simulations alongside quantum mechanics, to design novel DHFR inhibitors for cancer cells using carbohydrate- and amino acid-based scaffolds. Additionally, our studies suggest that the designed inhibitors may exhibit fewer side effects than methotrexate.

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Publication Details

Journal
Scientific Reports
Published
2025-10-27
DOI
https://doi.org/10.1038/s41598-025-21262-5
Primary Topic
Carbohydrate Chemistry and Synthesis
Type
article
Field-Weighted Citation Impact
0.00

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article

Combinatorial QM and MD in silico design of natural product-based DHFR inhibitors

Alireza Fattahi, Sepideh Kalhor, Amin Mohammad Shapouri
Scientific Reports
Carbohydrate Chemistry and Synthesis
article

Combinatorial QM and MD in silico design of natural product-based DHFR inhibitors

Alireza Fattahi, Sepideh Kalhor, Amin Mohammad Shapouri
article en

Abstract

Cancer cells are distinguished from normal cells by their rapid rate of division. This high division rate can be explained by various factors, including unregulated cell cycle progression, which occurs when cancer cells bypass checkpoints; activation of growth signals in cancer cells; and override of growth suppressor factors, which generally regulate cell growth and division within physiological thresholds. Cancer cells bypass these controls due to genetic mutations or epigenetic changes. Additionally, changes in the tumor microenvironment (TME) can contribute to the accelerated growth and division of cancer cells. It is well established that cancer cells accumulate mutations more frequently than normal cells. This accumulation can, in part, explain their rapid rate of division. The cell cycle consists of four phases: G1, S, G2, and mitosis, with the first three phases categorized as interphase. When cancer cells experience division stress, their demand for nucleotide synthesis increases, which is essential for RNA and DNA synthesis. RNA synthesis primarily occurs during interphase, while DNA replication occurs in the S phase. One of the conserved enzymes involved in nucleotide synthesis is dihydrofolate reductase (DHFR). This enzyme's role in purine and thymidylate synthesis is crucial in cancerous cells under conditions of division stress. Methotrexate, a well-known DHFR inhibitor, has been introduced for the treatment of cancers such as meningeal leukemia, lymphoma, and breast cancer. While effective in alleviating cancer symptoms, methotrexate can cause adverse effects, including hepatotoxicity, pulmonary complications, and renal impairment. Based on these considerations, we applied combinatorial studies, including molecular dynamics simulations alongside quantum mechanics, to design novel DHFR inhibitors for cancer cells using carbohydrate- and amino acid-based scaffolds. Additionally, our studies suggest that the designed inhibitors may exhibit fewer side effects than methotrexate.

Scientific ReportsVol. 15(1)
Sharif University of Technology (IR)
National Science Foundation, Iran National Science Foundation
Openalex Percentile: Top 76%
Carbohydrate Chemistry and Synthesis
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