Evidence map›Paper›PMID 42510696›Full record

ArticleBiology2026

Rational Design of Novel Isosteviol-Derived Factor Xa Inhibitors Using Integrated QSAR, Molecular Docking, Molecular Dynamics, and MM/GBSA Analyses.

Paweł Gordon, Łukasz Szeleszczuk, Małgorzata Lasota, Dariusz Maciej Pisklak, Marcin Gackowski

Abstract read
In one paragraph

Article in Biology, 2026. 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

5 authors.

Paweł GordonUniversity of Health Sciences in Bydgoszcz, Jagiellońska 4 Str., 85-067 Bydgoszcz, Poland.ORCID 0009-0007-7926-8753
Łukasz SzeleszczukDepartment of Organic and Physical Chemistry, Medical University of Warsaw, 1 Banacha Str., 02-097 Warsaw, Poland.ORCID 0000-0002-5302-3797
Małgorzata LasotaCenter for Biomedicine and Interdisciplinary Sciences, Faculty of Medicine, Jagiellonian University Medical College, 16 Grzegórzecka Str., 31-531 Krakow, Poland.ORCID 0000-0002-3293-8568
Dariusz Maciej PisklakDepartment of Organic and Physical Chemistry, Medical University of Warsaw, 1 Banacha Str., 02-097 Warsaw, Poland.ORCID 0000-0002-4648-9513
Marcin GackowskiDepartment of Toxicology and Bromatology, Faculty of Pharmacy, L. Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, A. Jurasza 2 Str., 85-089 Bydgoszcz, Poland.ORCID 0000-0001-9176-7108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Factor Xa (FXa) remains an important target in the development of anticoagulant and antithrombotic agents. In this study, twenty isosteviol-derived oxime ether analogs previously reported as FXa inhibitors were used to develop a predictive QSAR model. The compounds were geometry-optimized at the B3LYP/6-311++G(d,p) level, and Dragon molecular descriptors were calculated from the optimized structures. After descriptor filtering, Random Forest-based supervised preselection and correlation-based pruning were applied. Several models of increasing complexity were evaluated, including multiple linear regression, additive MARSplines, and constrained second-order MARSplines models. The final model employed four active basis functions involving R6p+, C-025, ATSC7e, and Mor31p and demonstrated excellent calibration and cross-validated predictive ability (R

Indexed as

ADMETanticoagulant agentsDragon descriptorsdrug-likenessfactor Xa inhibitorsisosteviolMARSplinesMM/GBSAmolecular dockingmolecular dynamicspkCSMQSARSwissADME

Identifiers

PMID42510696
PMCPMC13405604

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.