Evidence map›Paper›PMID 41145653›Full record

ArticleScientific reports2025

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

Sepideh Kalhor, Amin Mohammad Shapouri, Alireza Fattahi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sepideh KalhorDepartment of Chemistry, Institute for Convergence Science and Technology, Sharif University of Technology, Tehran, Iran.
Amin Mohammad ShapouriDepartment of Chemistry, Institute for Convergence Science and Technology, Sharif University of Technology, Tehran, Iran.
Alireza FattahiDepartment of Chemistry, Institute for Convergence Science and Technology, Sharif University of Technology, Tehran, Iran. fattahi@sharif.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biological ProductsDrug DesignFolic Acid AntagonistsMolecular Dynamics SimulationTetrahydrofolate DehydrogenaseHumansQuantum TheoryBiological ProductsFolic Acid AntagonistsTetrahydrofolate DehydrogenaseCombinatorial studiesDHFRMolecular dynamics (MD) simulationsQuantum mechanics (QM)Tumor cell inhibitors

Identifiers

PMID41145653
PMCPMC12559759

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.