Evidence map›Paper›PMID 41152995›Full record

ArticleBMC pharmacology & toxicology2025

Identification of potential natural BCL-2 inhibitors for leukemia through an integrated virtual screening approach.

Uddalak Das, Arnab Mukherjee, K S Mukunthan, Jitendra Kumar

Abstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Uddalak DasDepartment of Plant Biotechnology, University of Agricultural Sciences, Bengaluru, Karnataka, 560065, India.
Arnab MukherjeeDepartment of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
K S MukunthanDepartment of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. mukunthan.ks@manipal.edu.
Jitendra KumarBiotechnology Industry Research Assistance Council (BIRAC), Department of Biotechnology (DBT), Ministry of Science and Technology, Government of India, Lodhi Road, New Delhi, 110020, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leukemia, a hematologic malignancy, frequently involves the overexpression of BCL-2 proteins, contributing to cell survival and apoptosis resistance. Although current BCL-2 inhibitors, including Venetoclax, have shown efficacy, they are limited by adverse side effects and restricted bioavailability. This study employs an integrated computational approach to identify natural BCL-2 inhibitors by screening 407,270 natural compounds. Using ligand- and structure-based virtual screening, we identified two promising compounds, CNP0237679 and CNP0420384, demonstrating strong binding affinities, favorable electronic properties, and stability in dynamic aqueous environments. Both compounds exhibited promising toxicity and pharmacokinetic profiles, indicating the possibility of low toxicity and high bioavailability. They are potential candidates for developing selective BCL-2 inhibitors because of these characteristics. The findings represent a positive step in developing new, naturally derived BCL-2 inhibitors and support additional in vitro and in vivo studies to validate their therapeutic efficacy and safety characteristics.

Indexed as

Antineoplastic AgentsBiological ProductsLeukemiaProto-Oncogene Proteins c-bcl-2AnimalsCell Line, TumorHumansMiceMolecular Docking SimulationAntineoplastic AgentsBCL2 protein, humanBiological ProductsProto-Oncogene Proteins c-bcl-2DockingDrug discoveryLeukemiaMolecular dynamics simulationPharmacokineticsPharmacophore

Identifiers

PMID41152995
PMCPMC12570718

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Registered trials

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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.