Evidence map›Paper›PMID 41755014›Full record

ReviewPharmaceutics2026

Current Computational Approaches for the Discovery of Novel Anticancer Agents Targeting VEGFR and SIRT Signaling Pathways.

Aleksandra Ilic, Selma Zukic, Slavica Oljacic, Uko Maran, Katarina Nikolic, Marija Popovic-Nikolic

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Aleksandra IlicDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe, 450, 11221 Belgrade, Serbia.ORCID 0009-0003-2466-0580
Selma ZukicInstitute of Chemistry, University of Tartu, Ravila Street 14a, 50411 Tartu, Estonia.ORCID 0009-0005-5416-0231
Slavica OljacicDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe, 450, 11221 Belgrade, Serbia.ORCID 0000-0001-9128-6072
Uko MaranInstitute of Chemistry, University of Tartu, Ravila Street 14a, 50411 Tartu, Estonia.ORCID 0000-0003-2506-0934
Katarina NikolicDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe, 450, 11221 Belgrade, Serbia.ORCID 0000-0002-3656-9245
Marija Popovic-NikolicDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe, 450, 11221 Belgrade, Serbia.ORCID 0000-0002-8902-3211

Funding

Eesti Teadusagentuur (Estonian Research Council) PRG1509Ministry of Science, Technological Development and Innovation, Republic of Serbia through two Grant Agreements with University of Belgrade-Faculty of Pharmacy No 451-03-136/2025-03/ 200161 and No 451-03-137/2025-03/ 200161
6 · The paper itself

Abstract

Numerous scientific studies highlight the crucial role of common genetic and epigenetic factors in the development and progression of cancer. To deepen our understanding of how different VEGFR and epigenetic pathways interact in carcinogenesis, the current review examines novel therapeutic agents that target various molecular mechanisms involved in this complex disease. Growing evidence from scientific studies suggests that VEGFR and epigenetic signaling pathways contribute to complex pathophysiological changes in cancer. Therefore, simultaneously targeting VEGFR and epigenetic factors, such as sirtuins, by developing dual inhibitors could provide more individualized therapeutic approaches with safer and more effective outcomes. In this context, Computer-Aided Drug Design (CADD) offers a comprehensive suite of bioinformatic, chemoinformatic, and chemometric approaches to design novel chemotypes of epigenetic dual-target inhibitors. This facilitates the efficient discovery of new drug candidates, enabling innovative treatments for these multifactorial diseases. The review also explores the detailed anticancer mechanisms by which VEGFR, SIRT, and dual-target inhibitors modify metastatic and tumorigenic properties, affect the tumor microenvironment, and regulate the immune response.

Indexed as

dual-inhibitorsmachine learningmultifactorial diseasesQSARSBDDSIRTVEGFR

Identifiers

PMID41755014
PMCPMC12944635

What OpenQuestion holds

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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 OpenQuestion graph.