SAR and QSAR in Environmental Research

Papers
(The median citation count of SAR and QSAR in Environmental Research is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Novel molecular hybrid geometric-harmonic-Zagreb degree based descriptors and their efficacy in QSPR studies of polycyclic aromatic hydrocarbons33
Optimizing cardio, hepato and phospholipidosis toxicity of the Bedaquiline by chemoinformatics and molecular modelling approach29
A Monte Carlo method based QSPR model for prediction of reaction rate constants of hydrated electrons with organic contaminants24
Prediction of power conversion efficiency of phenothiazine-based dye-sensitized solar cells using Monte Carlo method with index of ideality of correlation22
Application of cross-validation strategies to avoid overestimation of performance of 2D-QSAR models for the prediction of aquatic toxicity of chemical mixtures21
The index of ideality of correlation: QSAR studies of hepatitis C virus NS3/4A protease inhibitors using SMILES descriptors17
QSAR and molecular docking modelling of anti-leishmanial activities of organic selenium and tellurium compounds17
CORAL: Monte Carlo based global QSAR modelling of Bruton tyrosine kinase inhibitors using hybrid descriptors17
Structure-based discovery of interleukin-33 inhibitors: a pharmacophore modelling, molecular docking, and molecular dynamics simulation approach17
Molecular mechanism concerning conformational changes of CDK2 mediated by binding of inhibitors using molecular dynamics simulations and principal component analysis15
Sample-size dependence of validation parameters in linear regression models and in QSAR13
Monte Carlo technique to study the adsorption affinity of azo dyes by applying new statistical criteria of the predictive potential13
QSAR modelling of organic dyes for their acute toxicity in Daphnia magna using 2D-descriptors13
Cross-validation strategies in QSPR modelling of chemical reactions12
Discovery of Zafirlukast as a novel SARS-CoV-2 helicase inhibitor using in silico modelling and a FRET-based assay12
SAR and QSAR research on tyrosinase inhibitors using machine learning methods12
Identifications of good and bad structural fragments of hydrazone/2,5-disubstituted-1,3,4-oxadiazole hybrids with correlation intensity index and consensus modelling using Monte Carlo based QSAR studi11
Binding modes of GDP, GTP and GNP to NRAS deciphered by using Gaussian accelerated molecular dynamics simulations11
Identification of potential antivirals against 3CLpro enzyme for the treatment of SARS-CoV-2: A multi-step virtual screening study11
Robust classification-based molecular modelling of diverse chemical entities as potential SARS-CoV-2 3CLpro inhibitors: theoretical justification in light of experimental evidences11
Design of phosphoryl containing podands with Li+/Na+ selectivity using machine learning10
Molecular modelling on SARS-CoV-2 papain-like protease: an integrated study with homology modelling, molecular docking, and molecular dynamics simulations10
Prediction of No Observed Adverse Effect Concentration for inhalation toxicity using Monte Carlo approach9
Insights into interaction mechanism of inhibitors E3T, E3H and E3B with CREB binding protein by using molecular dynamics simulations and MM-GBSA calculations9
Using in silico modelling and FRET-based assays in the discovery of novel FDA-approved drugs as inhibitors of MERS-CoV helicase9
Insight into the structural requirement of aryl sulphonamide based gelatinases (MMP-2 and MMP-9) inhibitors – Part I: 2D-QSAR, 3D-QSAR topomer CoMFA and Naïve Bayes studies – First report of 3D-QSAR T8
Applying comparative molecular modelling techniques on diverse hydroxamate-based HDAC2 inhibitors: an attempt to identify promising structural features for potent HDAC2 inhibition8
Assessing structural insights into in-house arylsulfonyl L-(+) glutamine MMP-2 inhibitors as promising anticancer agents through structure-based computational modelling approaches8
Synthesis and molecular modelling of thiadizole based hydrazone derivatives as acetylcholinesterase and butyrylcholinesterase inhibitory activities8
Discovery of benzothiazole-based thiazolidinones as potential anti-inflammatory agents: anti-inflammatory activity, soybean lipoxygenase inhibition effect and molecular docking studies8
The Monte Carlo method to build up models of the hydrolysis half-lives of organic compounds8
QSAR analysis of the acute toxicity of avermectins towards Tetrahymena pyriformis7
In silico guided design of non-covalent inhibitors of DprE1: synthesis and biological evaluation7
Insights from computational studies on the potential of natural compounds as inhibitors against SARS-CoV-2 spike omicron variant7
Turning down PI3K/AKT/mTOR signalling pathway by natural products: an in silico multi-target approach7
QSPR modelling for intrinsic viscosity in polymer–solvent combinations based on density functional theory7
iORI-ENST: identifying origin of replication sites based on elastic net and stacking learning7
Insight into the structural requirements of gelatinases (MMP-2 and MMP-9) inhibitors by multiple validated molecular modelling approaches: Part II6
First molecular modelling report on tri-substituted pyrazolines as phosphodiesterase 5 (PDE5) inhibitors through classical and machine learning based multi-QSAR analysis6
Fish early life stage toxicity prediction from acute daphnid toxicity and quantum chemistry6
Classification and QSAR models of leukotriene A4 hydrolase (LTA4H) inhibitors by machine learning methods6
Molecular docking-based interactions in QSAR studies on Mycobacterium tuberculosis ATP synthase inhibitors6
Identification of novel inhibitors targeting TIRAP interactions with BTK and PKCδ in inflammation through an in silico approach6
Investigating potency of TMC-126 against wild-type and mutant variants of HIV-1 protease: a molecular dynamics and free energy study6
The QSAR-search of effective agents towards coronaviruses applying the Monte Carlo method6
9-Arylimino noscapinoids as potent tubulin binding anticancer agent: chemical synthesis and cellular evaluation against breast tumour cells6
Modelling of antiproliferative activity measured in HeLa cervical cancer cells in a series of xanthene derivatives6
Synthesis of new benzimidazole derivatives containing 1,3,4-thiadiazole: their in vitro antimicrobial, in silico molecular docking and molecular dynamic simulations studies6
A comparative quantitative structural assessment of benzothiazine-derived HDAC8 inhibitors by predictive ligand-based drug designing approaches6
Decoding molecular mechanism underlying binding of drugs to HIV-1 protease with molecular dynamics simulations and MM-GBSA calculations6
Microwave-assisted organic synthesis, antimycobacterial activity, structure–activity relationship and molecular docking studies of some novel indole-oxadiazole hybrids6
Prediction of acute toxicity to Daphnia magna and interspecific correlation: a global QSAR model and a Daphnia-minnow QTTR model6
A quantitative structural analysis of AR-42 derivatives as HDAC1 inhibitors for the identification of promising structural contributors6
3D-QSAR-based design, synthesis and biological evaluation of 2,4-disubstituted quinoline derivatives as antimalarial agents6
Computer-aided discovery of pleiotropic effects: Anti-inflammatory action of dithioloquinolinethiones as a case study5
In silico prediction of mosquito repellents for clothing application5
A robust classification-dependent multi-molecular modelling study on some biphenyl sulphonamide based MMP-8 inhibitors5
QSAR analysis and experimental evaluation of new quinazoline-containing hydroxamic acids as histone deacetylase 6 inhibitors5
Molecular modelling on multiepitope-based vaccine against SARS-CoV-2 using immunoinformatics, molecular docking, and molecular dynamics simulation5
Hybrid consensus and k-nearest neighbours (kNN) strategies to classify dual BRD4/PLK1 inhibitors5
Synthesis, biological evaluation and in silico studies of novel thiadiazole-hydrazone derivatives for carbonic anhydrase inhibitory and anticancer activities5
Design of 2-amino-6-methyl-pyrimidine benzoic acids as ATP competitive casein kinase-2 (CK2) inhibitors using structure- and fragment-based design, docking and molecular dynamic simulation studies5
Carcinogenicity prediction using the index of ideality of correlation5
Classification-based QSARs for predicting dietary biomagnification in fish5
Endocrine disruption: the noise in available data adversely impacts the models’ performance4
Double focus in the modelling of anti-influenza properties of 2-iminobenzimidazolines: pharmacology and toxicology4
iACP-GE: accurate identification of anticancer peptides by using gradient boosting decision tree and extra tree4
Discovery of potential competitive inhibitors against With-No-Lysine kinase 1 for treating hypertension by virtual screening, inverse pharmacophore-based lead optimization, and molecular dynamics simu4
What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques4
E-pharmacophore based screening to identify potential HIV-1 gp120 and CD4 interaction blockers for wild and mutant types4
QSAR study of tetrahydropteridin derivatives as polo-like kinase 1(PLK1) Inhibitors with molecular docking and dynamics study4
Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree4
Ligand-based discovery of new potential acetylcholinesterase inhibitors for Alzheimer’s disease treatment4
Finding inhibitors and deciphering inhibitor-induced conformational plasticity in the Janus kinase via multiscale simulations4
Prediction of tissue and urine concentrations of 2-phenoxyethanol and its metabolite 2-phenoxyacetic acid in rat and human after oral and dermal exposures via GastroPlusTM physiologically b4
QSAR models for insecticidal properties of plant essential oils on the housefly (Musca domestica L.)4
Theoretically exploring selective-binding mechanisms of BRD4 through integrative computational approaches4
An improved opposition-based crow search algorithm for biodegradable material classification4
Selection of optimal validation methods for quantitative structure–activity relationships and applicability domain4
Computational study on subfamilies of piperidine derivatives: QSAR modelling, model external verification, the inter-subset similarity determination, and structure-based drug designing4
In silico package models for deriving values of solute parameters in linear solvation energy relationships4
First report on pesticide sub-chronic and chronic toxicities against dogs using QSAR and chemical read-across4
QSPR modelling for investigation of different properties of aminoglycoside-derived polymers using 2D descriptors4
Suggestion of active 3-chymotrypsin like protease (3CLPro) inhibitors as potential anti-SARS-CoV-2 agents using predictive QSAR model based on the combination of ALASSO with an ANN model3
Computational explorations of the interaction between laccase and bisphenol A: influence of surfactant and different organic solvents3
Combined 4D-QSAR and target-based approaches for the determination of bioactive Isatin derivatives3
Exploration of structural alerts and fingerprints for novel anticancer therapeutics: a robust classification-QSAR dependent structural analysis of drug-like MMP-9 inhibitors3
Discovery of dual-target natural antimalarial agents against DHODH and PMT of Plasmodium falciparum : pharmacophore modelling, molecular docking, quantum mechanics, and 3
Unsupervised machine learning, QSAR modelling and web tool development for streamlining the lead identification process of antimalarial flavonoids3
Prediction of critical micelle concentration for per- and polyfluoroalkyl substances3
Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project3
Ranked binding energies of residues and data fusion to identify the active and selective pyrimidine-based Janus kinases 3 (JAK3) inhibitors3
Identification of selective Lyn inhibitors from the chemical databases through integrated molecular modelling approaches3
Hybrid descriptors–conjoint indices: a case study on imidazole-thiourea containing glutaminyl cyclase inhibitors for design of novel anti-Alzheimer’s candidates3
QSAR model to predict Kp,uu,brain with a small dataset, incorporating predicted values of related parameter3
Computational exploration and anti-mycobacterial activity of potential inhibitors of Mycobacterium tuberculosis acetyl coenzyme A carboxylase as anti-tubercular agents3
Insights into effect of the Asp25/Asp25ʹ protonation states on binding of inhibitors Amprenavir and MKP97 to HIV-1 protease using molecular dynamics simulations and MM-GBSA calculations3
Decoding drug resistant mechanism of V32I, I50V and I84V mutations of HIV-1 protease on amprenavir binding by using molecular dynamics simulations and MM-GBSA calculations3
Predicting mosquito repellents for clothing application from molecular fingerprint-based artificial neural network SAR models3
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