Evidence map›Paper›PMID 40524132›Full record

ArticleMolecular diversity2026

Chemometric modeling, inverse docking, and molecular simulations-driven design for multilayered prioritization of novel leishmanicidal agents based on a 2-aminobenzimidazole scaffold.

Arpita Biswas, Arnab Bhattacharjee, Supratik Kar, Probir Kumar Ojha

Abstract read
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Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

4 authors.

Arpita BiswasDrug Discovery and Development Laboratory (DDD Lab), Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032, India.
Arnab BhattacharjeeDrug Discovery and Development Laboratory (DDD Lab), Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032, India.
Supratik KarChemometrics and Molecular Modeling Laboratory, Department of Chemistry and Physics, Kean University, 1000 Morris Avenue, Union, NJ, 07083, USA.
Probir Kumar OjhaDrug Discovery and Development Laboratory (DDD Lab), Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032, India. probirojha@yahoo.co.in.ORCID http://orcid.org/0000-0003-4796-3915

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leishmaniasis, a major neglected tropical disease (NTD), affects millions of people globally. Current treatments are plagued by infection relapse, high toxicity, and lengthy regimens. A contemporary study investigated the 2-aminobenzimidazole scaffold for leishmanicidal activity but it was found to be associated with poor exposure and lack of efficacy in vivo. This inspired us to develop a QSAR model of leishmanicidal activity leveraging the reported in vivo leishmanicidal activity data toward Leishmania infantum. Interpretable 2D molecular descriptors were employed so that the key leishmanicidal structural features could be utilized to develop the novel molecules. The QSAR model highlighted key structural features associated with leishmanicidal activity, including hydrophobicity, aromatic ring, hydrogen bond acceptor/donor, as well as hetero-atoms (nitrogen, fluorine, etc.) that enhance activity. Various categories of drugs from DrugBank were screened using the developed QSAR model, followed by inverse docking against the putative protein targets for leishmaniasis, to identify the plausible target of the parent leads. QSAR-guided structural modifications were undertaken to generate potential analogs of the top five parent leads. The analogs were checked for their ADMET profiles, and the protein-ligand interactions stability of the top candidates (DB03231-A6 and DB12269-A4) was assessed by 300 ns molecular dynamics simulation. Free energy landscapes (FEL) of the apo and bound target receptor were constructed to further streamline the prioritized analogs. Upon cumulative retrospection, an analog of DB12269 (N-{5-[2-amino-4-fluro-7-(1-hydroxy-2-methylpropan-2-yl)-7H-pyrrolo[2,3-d]pyrimidine-5-carbonyl]-4,6-difluoropyrid-3yl}-2-(5-chloropyrazin-2-yl)acetamide) is proposed for further wet lab validation studies for prospective application against leishmaniasis.

Indexed as

Antiprotozoal AgentsBenzimidazolesDrug DesignMolecular Docking SimulationLeishmania infantumLeishmaniasisMolecular Dynamics SimulationQuantitative Structure-Activity Relationship2-aminobenzimidazoleAntiprotozoal AgentsBenzimidazoles2-aminobenzimidazoleInhibitor designInverse dockingLeishmaniasisMolecular dynamics simulationQSAR

Identifiers

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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.