Evidence map›Paper›PMID 35897936›Full record

ArticleMolecules (Basel, Switzerland)2022

QSAR Evaluations to Unravel the Structural Features in Lysine-Specific Histone Demethylase 1A Inhibitors for Novel Anticancer Lead Development Supported by Molecular Docking, MD Simulation and MMGBSA.

Rahul D Jawarkar, Ravindra L Bakal, Nobendu Mukherjee, Arabinda Ghosh, Magdi E A Zaki, Sami A Al-Hussain, Aamal A Al-Mutairi, Abdul Samad, Ajaykumar Gandhi, Vijay H Masand

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Rahul D JawarkarDepartment of Medicinal Chemistry and Drug Discovery, Dr Rajendra Gode Institute of Pharmacy, University Mardi Road, Amravati 444603, India.ORCID 0000-0003-3563-6642
Ravindra L BakalDepartment of Medicinal Chemistry and Drug Discovery, Dr Rajendra Gode Institute of Pharmacy, University Mardi Road, Amravati 444603, India.
Nobendu MukherjeeDepartment of Microbiology, Ramakrishna Mission Vivekananda Centenary College, Kolkata 700118, India.ORCID 0000-0002-7129-7003
Arabinda GhoshMicrobiology Division, Department of Botany, Gauhati University, Guwahati 781014, India.ORCID 0000-0002-3891-5949
Magdi E A ZakiDepartment of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh 13318, Saudi Arabia.
Sami A Al-HussainDepartment of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh 13318, Saudi Arabia.
Aamal A Al-MutairiDepartment of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh 13318, Saudi Arabia.
Abdul SamadDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Tishk International University, Erbil 44001, Iraq.ORCID 0000-0001-6518-6131
Ajaykumar GandhiDepartment of Chemistry, Government Arts and Science College, Karur 639005, India.ORCID 0000-0002-2125-6596
Vijay H MasandDepartment of Chemistry, Vidyabharati Mahavidyalalya, Camp, Amravati 444602, India.

Funding

the Deanship of Scientific Re-search at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, KSA the Research Group No. 21-09-77
6 · The paper itself

Abstract

Using 84 structurally diverse and experimentally validated LSD1/KDM1A inhibitors, quantitative structure-activity relationship (QSAR) models were built by OECD requirements. In the QSAR analysis, certainly significant and understated pharmacophoric features were identified as critical for LSD1 inhibition, such as a ring Carbon atom with exactly six bonds from a Nitrogen atom, partial charges of lipophilic atoms within eight bonds from a ring Sulphur atom, a non-ring Oxygen atom exactly nine bonds from the amide Nitrogen, etc. The genetic algorithm-multi-linear regression (GA-MLR) and double cross-validation criteria were used to create robust QSAR models with high predictability. In this study, two QSAR models were developed, with fitting parameters like R

Indexed as

LysineQuantitative Structure-Activity RelationshipHistone DemethylasesMolecular Docking SimulationMolecular Dynamics SimulationNitrogenHistone DemethylasesLysineNitrogenanticancergenetic algorithm–multi linear regressionKDM1ALSD1MD simulationMMGBSAmolecular dockingQSAR

Identifiers

PMID35897936
PMCPMC9332886

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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.