SAR and QSAR in Environmental Research

Papers
(The median citation count of SAR and QSAR in Environmental Research is 2. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Molecular docking-based interaction studies on imidazo[1,2-a] pyridine ethers and squaramides as anti-tubercular agents40
Predicting cytotoxicity of engineered nanoparticles using regularized regression models: an in silico approach29
Classification models and SAR analysis on thromboxane A2 synthase inhibitors by machine learning methods24
Structure-based drug design of pre-clinical candidate nanopiperine: a direct target for CYP1A1 protein to mitigate hyperglycaemia and associated microbes22
Classification and QSAR models of leukotriene A4 hydrolase (LTA4H) inhibitors by machine learning methods17
A modified binary particle swarm optimization with a machine learning algorithm and molecular docking for QSAR modelling of cholinesterase inhibitors17
Discovery of dual-target natural inhibitors of meprins α and β metalloproteases for inflammation regulation: pharmacophore modelling, molecular docking, ADME prediction, and molecular dynamics studies15
Quantitative structure-property relationship modelling for predicting retention indices of essential oils based on an improved horse herd optimization algorithm13
QSAR analysis and experimental evaluation of new quinazoline-containing hydroxamic acids as histone deacetylase 6 inhibitors13
Computational studies with flavonoids and terpenoids as BRPF1 inhibitors: in silico biological activity prediction, molecular docking, molecular dynamics simulations, MM/PBSA calculations13
Predicting mosquito repellents for clothing application from molecular fingerprint-based artificial neural network SAR models12
QSAR analysis of sodium glucose co–transporter 2 (SGLT2) inhibitors for anti-hyperglycaemic lead development12
Unsupervised machine learning, QSAR modelling and web tool development for streamlining the lead identification process of antimalarial flavonoids12
Monte Carlo technique to study the adsorption affinity of azo dyes by applying new statistical criteria of the predictive potential12
Design and experimental validation of the oxazole and thiazole derivatives as potential antivirals against of human cytomegalovirus11
In silico guided design of non-covalent inhibitors of DprE1: synthesis and biological evaluation11
Analysis of oral and inhalation toxicity of per- and polyfluoroalkylated organic compounds in rats and mice using multivariate QSAR11
The Monte Carlo method to build up models of the hydrolysis half-lives of organic compounds11
Classification-based QSARs for predicting dietary biomagnification in fish11
BC CLC-Pred: a freely available web-application for quantitative and qualitative predictions of substance cytotoxicity in relation to human breast cancer cell lines10
Modelling lethality and teratogenicity of zebrafish ( Danio rerio ) due to β-lactam antibiotics employing the QSTR approach10
Computational investigations of flavonoids as ALDH isoform inhibitors for treatment of cancer10
Prediction of acute toxicity to Daphnia magna and interspecific correlation: a global QSAR model and a Daphnia-minnow QTTR model9
First report on pesticide sub-chronic and chronic toxicities against dogs using QSAR and chemical read-across8
Synthesis, biological evaluation and in silico studies of novel thiadiazole-hydrazone derivatives for carbonic anhydrase inhibitory and anticancer activities8
Correction8
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 b7
A robust classification-dependent multi-molecular modelling study on some biphenyl sulphonamide based MMP-8 inhibitors7
Robustaflavone as a novel scaffold for inhibitors of native and auto-proteolysed human neutrophil elastase7
Ligand and structure-based discovery of phosphorus-containing compounds as potential metalloproteinase inhibitors7
Applying comparative molecular modelling techniques on diverse hydroxamate-based HDAC2 inhibitors: an attempt to identify promising structural features for potent HDAC2 inhibition7
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 calculations7
Targeting human arginyltransferase and post-translational protein arginylation: a pharmacophore-based multilayer screening and molecular dynamics approach to discover novel inhibitors with therapeutic7
Carcinogenicity prediction using the index of ideality of correlation7
Study of two combined series of triketones with HPPD inhibitory activity by molecular modelling6
Exploring chemical space, scaffold diversity, and activity landscape of spleen tyrosine kinase active inhibitors6
Discovery of dual-target natural antimalarial agents against DHODH and PMT of Plasmodium falciparum : pharmacophore modelling, molecular docking, quantum mechanics, and 6
q-RASTR modelling for prediction of diverse toxic chemicals towards T. pyriformis6
Discovery of novel pyrrolo[2,3-d]pyrimidine derivatives as anticancer agents: virtual screening and molecular dynamic studies6
Pteridine reductase (PTR1): initial structure-activity relationships studies of potential leishmanicidal arylindole derivatives compounds6
In silico prediction of mosquito repellents for clothing application6
Optimal selection of learning data for highly accurate QSAR prediction of chemical biodegradability: a machine learning-based approach6
Binding modes of GDP, GTP and GNP to NRAS deciphered by using Gaussian accelerated molecular dynamics simulations6
Molecular mechanism concerning conformational changes of CDK2 mediated by binding of inhibitors using molecular dynamics simulations and principal component analysis6
LY3041658/ interleukin-8 complex structure as targets for IL-8 small molecule inhibitors discovery using a combination of in silico methods6
Fish early life stage toxicity prediction from acute daphnid toxicity and quantum chemistry6
QSAR modelling of organic dyes for their acute toxicity in Daphnia magna using 2D-descriptors6
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 studies6
A deep learning model based on the BERT pre-trained model to predict the antiproliferative activity of anti-cancer chemical compounds6
Hybrid consensus and k-nearest neighbours (kNN) strategies to classify dual BRD4/PLK1 inhibitors6
Development of a standardized methodology for transfer learning with QSAR models: a purely data-driven approach for source task selection5
Synthesis, biological activity, and four-dimensional quantitative structure–activity analysis of 2-arylidene indan-1,3-dione derivatives tested against Daphnia magna5
In silico package models for deriving values of solute parameters in linear solvation energy relationships5
Molecular modelling on SARS-CoV-2 papain-like protease: an integrated study with homology modelling, molecular docking, and molecular dynamics simulations5
Microwave-assisted organic synthesis, antimycobacterial activity, structure–activity relationship and molecular docking studies of some novel indole-oxadiazole hybrids5
Resveratrol analogues and metabolites selectively inhibit human and rat 11β-hydroxysteroid dehydrogenase 1 as the therapeutic drugs: structure–activity relationship and molecular dynamics analysis5
Prediction of power conversion efficiency of phenothiazine-based dye-sensitized solar cells using Monte Carlo method with index of ideality of correlation5
Sample-size dependence of validation parameters in linear regression models and in QSAR5
Molecular mechanisms of inhibitor bindings to A-FABP deciphered by using molecular dynamics simulations and calculations of MM-GBSA5
What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques5
First molecular modelling report on tri-substituted pyrazolines as phosphodiesterase 5 (PDE5) inhibitors through classical and machine learning based multi-QSAR analysis4
Priority list of potential endocrine-disrupting chemicals in food chemical contaminants: a docking study and in vitro/epidemiological evidence integration4
Prioritizing pharmaceutically active compounds (PhACs) based on occurrence-persistency-mobility-toxicity (OPMT) criteria: an application to the Brazilian scenario4
Exploration of structural alerts and fingerprints for novel anticancer therapeutics: a robust classification-QSAR dependent structural analysis of drug-like MMP-9 inhibitors4
iORI-ENST: identifying origin of replication sites based on elastic net and stacking learning4
9-Arylimino noscapinoids as potent tubulin binding anticancer agent: chemical synthesis and cellular evaluation against breast tumour cells4
CORAL: Monte Carlo based global QSAR modelling of Bruton tyrosine kinase inhibitors using hybrid descriptors4
Two QSAR models for predicting the toxicity of chemicals towards Tetrahymena pyriformis based on topological-norm descriptors and spatial-norm descriptors4
Machine learning-based predictive models for identifying high active compounds against HIV-1 integrase4
HT_PREDICT: a machine learning-based computational open-source tool for screening HDAC6 inhibitors4
Robust classification-based molecular modelling of diverse chemical entities as potential SARS-CoV-2 3CLpro inhibitors: theoretical justification in light of experimental evidences4
Correction4
Utilizing machine learning techniques to predict the blood-brain barrier permeability of compounds detected using LCQTOF-MS in Malaysian Kelulut honey4
Green synthesis of 2-benzylidene-1-benzofuran-3-ones and in vitro neuraminidase study using molecular docking4
The QSAR-search of effective agents towards coronaviruses applying the Monte Carlo method4
Finding inhibitors and deciphering inhibitor-induced conformational plasticity in the Janus kinase via multiscale simulations4
Synthesis and molecular modelling of thiadizole based hydrazone derivatives as acetylcholinesterase and butyrylcholinesterase inhibitory activities4
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 T3
Selective inhibition mechanism of three inhibitors to BRD4 uncovered by molecular docking and molecular dynamics simulations3
Metrics for estimating vapour pressure deviation from ideality in binary mixtures3
In silico insights into design of novel VEGFR-2 inhibitors: SMILES-based QSAR modelling, and docking studies on substituted benzo-fused heteronuclear derivatives3
Uncovering blood–brain barrier permeability: a comparative study of machine learning models using molecular fingerprints, and SHAP explainability3
Combining QSAR and SSD to predict aquatic toxicity and species sensitivity of pyrethroid and organophosphate pesticides3
QSAR assessment of aquatic toxicity potential of diverse agrochemicals3
Quantitative structure-insecticidal activity of essential oils on the human head louse ( Pediculus humanus capitis )3
Correction3
Structure-based pharmacophore modelling for ErbB4-kinase inhibition: a systematic computational approach for small molecule drug discovery for breast cancer3
iACP-GE: accurate identification of anticancer peptides by using gradient boosting decision tree and extra tree3
Potent inhibition of human and rat 17β-hydroxysteroid dehydrogenase 1 by curcuminoids and the metabolites: 3D QSAR and in silico docking analysis3
Predicting repurposed drugs targeting the NS3 protease of dengue virus using machine learning-based QSAR, molecular docking, and molecular dynamics simulations3
Anti-inflammatory action of new hybrid N -acyl-[1,2]dithiolo-[3,4- c ]quinoline-1-thione3
Identification of novel inhibitors targeting TIRAP interactions with BTK and PKCδ in inflammation through an in silico approach2
Development of binary classification models for grouping hydroxylated polychlorinated biphenyls into active and inactive thyroid hormone receptor agonists2
A holistic molecular modelling approach to design novel indole-2-carboxamide derivatives as potential inhibitors of MmpL32
Investigating potency of TMC-126 against wild-type and mutant variants of HIV-1 protease: a molecular dynamics and free energy study2
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 simu2
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 calculations2
Molecular mechanism underlying effect of D93 and D289 protonation states on inhibitor-BACE1 binding: exploration from multiple independent Gaussian accelerated molecular dynamics and deep learning2
Ligand-based discovery of new potential acetylcholinesterase inhibitors for Alzheimer’s disease treatment2
Computational study on subfamilies of piperidine derivatives: QSAR modelling, model external verification, the inter-subset similarity determination, and structure-based drug designing2
Decoding molecular mechanism underlying binding of drugs to HIV-1 protease with molecular dynamics simulations and MM-GBSA calculations2
Experimental evaluation and structure–activity relationship analysis of bridged-ring terpenoid derivatives as novel Blattella germanica repellent2
MDM-Pred: a freely available web application for predicting the metabolism of drug-like compounds by the gut microbiota2
Insights into interaction mechanism of inhibitors E3T, E3H and E3B with CREB binding protein by using molecular dynamics simulations and MM-GBSA calculations2
Identification of potential antivirals against 3CLpro enzyme for the treatment of SARS-CoV-2: A multi-step virtual screening study2
Insight into the structural requirements of gelatinases (MMP-2 and MMP-9) inhibitors by multiple validated molecular modelling approaches: Part II2
A comparative quantitative structural assessment of benzothiazine-derived HDAC8 inhibitors by predictive ligand-based drug designing approaches2
Synthesis, antiproliferative and 4D-QSAR studies of thiadiazole derivatives bearing acrylamide moiety as EGFR inhibitors2
Discovery of Zafirlukast as a novel SARS-CoV-2 helicase inhibitor using in silico modelling and a FRET-based assay2
Identifying SARS-CoV-2 main protease inhibitors by applying the computer screening of a large database of molecules2
SAR based on self consistent classifier2
0.17677903175354