Evidence map›Paper›PMID 38305404›Full record

ArticleCombinatorial chemistry & high throughput screening2025

Design, Virtual Screening, Molecular Docking, ADME and Cytotoxicity Studies of 1,3,5-Triazine Containing Heterocyclic Scaffolds as Selective BRAF Monomeric, Homo and Heterodimeric Inhibitors.

Ankit Kumar Singh, P Sreelakshmi, Prateek Pathak, Adarsh Kumar, Harshwardhan Singh, Jagat Pal Yadav, Amita Verma, Maria Grishina, Pradeep Kumar

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Article in Combinatorial chemistry & high throughput screening, 2025. 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. Citric acid based (CQDs/TiODiscover nano · 2024
    Article
  2. Article
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

9 authors.

Ankit Kumar SinghDepartment of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda, 151401, India.
P SreelakshmiDepartment of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda, 151401, India.
Prateek PathakLaboratory of Computational Modeling of Drugs, Higher Medical and Biological School, South Ural State University, Chelyabinsk, 454008, Russia.
Adarsh KumarDepartment of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda, 151401, India.
Harshwardhan SinghDepartment of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda, 151401, India.
Jagat Pal YadavBioorganic and Medicinal Chemistry Research Laboratory, Department of Pharmaceutical Sciences, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, 211007, India.
Amita VermaBioorganic and Medicinal Chemistry Research Laboratory, Department of Pharmaceutical Sciences, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, 211007, India.
Maria GrishinaLaboratory of Computational Modeling of Drugs, Higher Medical and Biological School, South Ural State University, Chelyabinsk, 454008, Russia.
Pradeep KumarDepartment of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda, 151401, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundv-RAF murine sarcoma viral homolog B1 (BRAF) is one of the most frequently mutated kinases in human cancers. BRAF exhibits three classes of mutations: Class I monomeric mutants (BRAFV600), class II BRAF homodimer mutants (non-V600), and class III BRAF heterodimers (non-V600).

methodsIn this paper, the protein-ligand interaction site of all three mutants: BRAF monomer, BRAF homodimer BRAF2:14-3-32, and BRAF heterodimer BRAF:14-3-32:MEK (Mitogen extracellular Kinase) has been discussed. FDA-approved drugs still have limitations against all three classes of mutants, especially against the second and third classes. Using the DesPot grid model, 1114 new compounds were designed. Using virtual screening, the three PDB Ids 4XV2 for monomers, 7MFF for homodimers, and 4MNE for heterodimers were used for 1114 newly designed compounds.

resultsDabrafenib, encorafenib, sorafenib and vemurafenib were included as standard drugs. The top 10 hit molecules were identified for each protein. Additional binding studies were performed using molecular docking studies on the protein-ligand site of each PDB identifier. Absorption, distribution, metabolism, excretion (ADME) and toxicity studies were also performed.

conclusionIt was identified that top-hit molecules had better binding and interaction activity than standard in all three classes of mutants.

Indexed as

Antineoplastic AgentsDrug DesignHeterocyclic CompoundsMolecular Docking SimulationProtein Kinase InhibitorsProto-Oncogene Proteins B-rafTriazinesDrug Evaluation, PreclinicalDrug Screening Assays, AntitumorHumansMolecular StructureStructure-Activity RelationshipAntineoplastic AgentsBRAF protein, humanHeterocyclic CompoundsProtein Kinase InhibitorsProto-Oncogene Proteins B-rafTriazinesactive siteBRAFcytotoxicity.heterodimerhomodimermonomer

Identifiers

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Textmetadata
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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 Socratic graph.