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 2022-01-01 to 2026-01-01.)
ArticleCitations
Identification of potential inhibitors of hypoxanthine-guanine phosphoribosyl transferase for cancer treatment by molecular docking, dynamics simulation and in vitro studies80
Quantitative structure-property relationship modelling for predicting retention indices of essential oils based on an improved horse herd optimization algorithm43
Computational investigations of flavonoids as ALDH isoform inhibitors for treatment of cancer32
Monte Carlo technique to study the adsorption affinity of azo dyes by applying new statistical criteria of the predictive potential29
Metrics for estimating vapour pressure deviation from ideality in binary mixtures17
In silico package models for deriving values of solute parameters in linear solvation energy relationships17
Classification of ULK1 inhibitors and SAR analysis by machine learning methods17
Discovery of dual-target natural antimalarial agents against DHODH and PMT of Plasmodium falciparum : pharmacophore modelling, molecular docking, quantum mechanics, and 17
In silico insights into design of novel VEGFR-2 inhibitors: SMILES-based QSAR modelling, and docking studies on substituted benzo-fused heteronuclear derivatives16
Predicting repurposed drugs targeting the NS3 protease of dengue virus using machine learning-based QSAR, molecular docking, and molecular dynamics simulations15
Utilizing machine learning techniques to predict the blood-brain barrier permeability of compounds detected using LCQTOF-MS in Malaysian Kelulut honey15
First report on q-RASTR modelling of hazardous dose (HD 5 ) for acute toxicity of pesticides: an efficient and reliable approach towards safeguarding the sensitive a15
Machine learning-based predictive models for identifying high active compounds against HIV-1 integrase15
Two QSAR models for predicting the toxicity of chemicals towards Tetrahymena pyriformis based on topological-norm descriptors and spatial-norm descriptors14
Identifying SARS-CoV-2 main protease inhibitors by applying the computer screening of a large database of molecules11
MDM-Pred: a freely available web application for predicting the metabolism of drug-like compounds by the gut microbiota11
Assessing the adsorption coefficient of diverse chemicals on polyethylene microplastics through a QSPR approach10
QSPR models to predict the physical hazards of mixtures: a state of art10
Integrated theoretical and experimental analysis of 4-amino-N-methylphthalimide: structural, spectroscopic, and anti-breast cancer potential10
Prediction of soil ecotoxicity against Folsomia candida using acute and chronic endpoints10
Development of 3D-QSAR and pharmacophoric models to design new anti-Trypanosoma cruzi agents based on 2-aryloxynaphthoquinone scaffold10
Identification of inhibitors for neurodegenerative diseases targeting dual leucine zipper kinase through virtual screening and molecular dynamics simulations10
Molecular mechanism underlying effect of D93 and D289 protonation states on inhibitor-BACE1 binding: exploration from multiple independent Gaussian accelerated molecular dynamics and deep learning10
Synthesis of new benzimidazole derivatives containing 1,3,4-thiadiazole: their in vitro antimicrobial, in silico molecular docking and molecular dynamic simulations studies10
A SAR and QSAR study on 3CLpro inhibitors of SARS-CoV-2 using machine learning methods10
iACP-GE: accurate identification of anticancer peptides by using gradient boosting decision tree and extra tree10
Insights from computational studies on the potential of natural compounds as inhibitors against SARS-CoV-2 spike omicron variant9
Classification-based QSARs for predicting dietary biomagnification in fish9
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 b9
Exploring molecular interactions of potential inhibitors against the spleen tyrosine kinase implicated in autoimmune disorders via virtual screening and molecular dynamics simulations9
Correction9
Multi-epitope vaccine construct against Staphylococcus aureus : insights from immunoinformatics and molecular dynamics simulations9
Optimizing cardio, hepato and phospholipidosis toxicity of the Bedaquiline by chemoinformatics and molecular modelling approach9
Analysis of oral and inhalation toxicity of per- and polyfluoroalkylated organic compounds in rats and mice using multivariate QSAR9
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 studies8
Structural characterization of length-varying peptide sequences for peptide quantitative structure-activity relationship7
Correction7
Microwave-assisted organic synthesis, antimycobacterial activity, structure–activity relationship and molecular docking studies of some novel indole-oxadiazole hybrids7
HT_PREDICT: a machine learning-based computational open-source tool for screening HDAC6 inhibitors7
Identification, experimental validation, and computational evaluation of potential ALK inhibitors through hierarchical virtual screening7
Structural insights and molecular profiling of a large set of diverse compounds targeting PPARγ: from comprehensive cheminformatics approach to tool development7
Hybrid consensus and k-nearest neighbours (kNN) strategies to classify dual BRD4/PLK1 inhibitors7
QSAR assessment of aquatic toxicity potential of diverse agrochemicals7
Unveiling the potential of Hamigeran-B from marine sponges as a probable inhibitor of Nipah virus RDRP through molecular modelling and dynamics simulation studies7
SAR based on self consistent classifier7
What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques7
Prioritizing pharmaceutically active compounds (PhACs) based on occurrence-persistency-mobility-toxicity (OPMT) criteria: an application to the Brazilian scenario7
Deciphering Cathepsin K inhibitors: a combined QSAR, docking and MD simulation based machine learning approaches for drug design6
Steroidal hydrazones as antimicrobial agents: biological evaluation and molecular docking studies6
Machine learning-based models for accessing thermal conductivity of liquids at different temperature conditions6
Combining QSAR and SSD to predict aquatic toxicity and species sensitivity of pyrethroid and organophosphate pesticides6
Enhanced in silico QSAR-based screening of butyrylcholinesterase inhibitors using multi-feature selection and machine learning6
Enhanced prediction of beta-secretase inhibitory compounds with mol2vec technique and machine learning algorithms6
Experimental evaluation and structure–activity relationship analysis of bridged-ring terpenoid derivatives as novel Blattella germanica repellent6
First report on machine learning based multiclass classification of Caco-2 permeability using different balancing strategies6
Modelling enzyme inhibition toxicity of ionic liquid from molecular structure via convolutional neural network model6
A computational perception of BBOX1-IP3R3 interaction uncovers inhibitors for dysregulated calcium signalling in triple negative breast cancer6
Exploring molecular fragments for fraction unbound in human plasma of chemicals: a fragment-based cheminformatics approach5
Synthesis, biological evaluation and in silico studies of novel thiadiazole-hydrazone derivatives for carbonic anhydrase inhibitory and anticancer activities5
Unveiling the biophysical basis of DYRK kinase family isoform selectivity mechanism of Abemaciclib using computational approaches5
QSAR modelling of organic dyes for their acute toxicity in Daphnia magna using 2D-descriptors5
Synthesis and molecular modelling of thiadizole based hydrazone derivatives as acetylcholinesterase and butyrylcholinesterase inhibitory activities5
Discovery of dual-target natural inhibitors of meprins α and β metalloproteases for inflammation regulation: pharmacophore modelling, molecular docking, ADME prediction, and molecular dynamics studies5
Structure-based drug design of pre-clinical candidate nanopiperine: a direct target for CYP1A1 protein to mitigate hyperglycaemia and associated microbes5
Network-based clustering and statistical evaluation to elucidate structure-activity relationships of EZH2 inhibitors5
q-RASTR modelling for prediction of diverse toxic chemicals towards T. pyriformis5
Selective inhibition mechanism of three inhibitors to BRD4 uncovered by molecular docking and molecular dynamics simulations5
Molecular mechanism of interactions of SPIN1 with novel inhibitors through molecular docking and molecular dynamics simulations5
HDAC1 PREDICTOR: a simple and transparent application for virtual screening of histone deacetylase 1 inhibitors5
Modelling lethality and teratogenicity of zebrafish ( Danio rerio ) due to β-lactam antibiotics employing the QSTR approach5
Development of a standardized methodology for transfer learning with QSAR models: a purely data-driven approach for source task selection5
A deep learning model based on the BERT pre-trained model to predict the antiproliferative activity of anti-cancer chemical compounds5
Potent inhibition of human and rat 17β-hydroxysteroid dehydrogenase 1 by curcuminoids and the metabolites: 3D QSAR and in silico docking analysis5
Priority list of potential endocrine-disrupting chemicals in food chemical contaminants: a docking study and in vitro/epidemiological evidence integration4
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 calculations4
Development of binary classification models for grouping hydroxylated polychlorinated biphenyls into active and inactive thyroid hormone receptor agonists4
Harnessing the potential of phytochemicals to design anti-filarial molecules targeting the MurE enzyme of Brugia malayi : a hierarchical virtual screening and molecular 4
Predicting acute toxicity of pesticides towards Daphnia magna with random forest algorithm4
Insight into the structural requirements of gelatinases (MMP-2 and MMP-9) inhibitors by multiple validated molecular modelling approaches: Part II4
ToxAI_assistant: a web platform for a comprehensive study of the acute toxicity of xenobiotics following oral and intravenous administration in rats4
Targeting drug-resistant Mycobacterium tuberculosis : an integrated computational approach to identify DprE2 inhibitors4
An effective machine learning model for rat acute oral toxicity prediction of emerging chemicals: multi-domain applications and structure-activity relationships4
QSAR modelling of enzyme inhibition toxicity of ionic liquid based on chaotic spotted hyena optimization algorithm3
Prediction of critical micelle concentration for per- and polyfluoroalkyl substances3
Warfarin derivatives as free radical scavengers: a coumarin scaffold-based linear regression model with in vitro validation3
Ligand-based discovery of new potential acetylcholinesterase inhibitors for Alzheimer’s disease treatment3
Molecular modelling on multiepitope-based vaccine against SARS-CoV-2 using immunoinformatics, molecular docking, and molecular dynamics simulation3
Comparison of predictions of developmental toxicity for compounds of solvent data set3
Machine learning-based q-RASAR modelling for the in silico identification of novel α7nAChR agonists for anti-Alzheimer’s drug discovery3
Discovery of novel 1,3,4-oxadiazole derivatives as anticancer agents targeting thymidine phosphorylase: pharmacophore modelling, virtual screening, molecular docking, ADMET and DFT analysis3
QSAR analysis and experimental evaluation of new quinazoline-containing hydroxamic acids as histone deacetylase 6 inhibitors3
HDAC6 detector: online application for evaluating compounds as potential histone deacetylase 6 inhibitors3
Descriptor generation from Morgan fingerprint using persistent homology3
Fragment-based QSAR study to explore the structural requirements of DPP-4 inhibitors: a stepping stone towards better type 2 diabetes mellitus management3
Hybrid descriptors–conjoint indices: a case study on imidazole-thiourea containing glutaminyl cyclase inhibitors for design of novel anti-Alzheimer’s candidates3
Predicting cytotoxicity of engineered nanoparticles using regularized regression models: an in silico approach3
Development of terpenoid repellents against Aedes albopictus : a combined study of biological activity evaluation and computational modelling3
Understanding mechanism governing the inflammatory potential of metal oxide nanoparticles using periodic table-based descriptors: a nano-QSAR approach3
Functionally substituted 2-aminothiazoles as antimicrobial agents: in vitro and in silico evaluation3
Pinpointing prime structural attributes of potential MMP-2 inhibitors comprising alkyl/arylsulfonyl pyrrolidine scaffold: a ligand-based molecular modelling approach validated by molecular dynamics si3
Novel molecular hybrid geometric-harmonic-Zagreb degree based descriptors and their efficacy in QSPR studies of polycyclic aromatic hydrocarbons3
Binding modes of GDP, GTP and GNP to NRAS deciphered by using Gaussian accelerated molecular dynamics simulations2
Towards eco-friendly and biodegradable pesticides: intelligent consensus modelling and read-across for predicting soil half-life2
First report on retention time prediction of pesticides and veterinary drugs in cow milk using read-across and intelligent consensus prediction: an alternative for hazard assessment employing food-inf2
Search for acetylcholinesterase inhibitors by computerized screening of approved drug compounds2
Exploring different classification-dependent QSAR modelling strategies for HDAC3 inhibitors in search of meaningful structural contributors2
Essential oil components interacting with insect odorant-binding proteins: a molecular modelling approach2
Computational explorations of the interaction between laccase and bisphenol A: influence of surfactant and different organic solvents2
A holistic molecular modelling approach to design novel indole-2-carboxamide derivatives as potential inhibitors of MmpL32
Pteridine reductase (PTR1): initial structure-activity relationships studies of potential leishmanicidal arylindole derivatives compounds2
Carcinogenicity prediction using the index of ideality of correlation2
In silico prediction of mosquito repellents for clothing application2
Predictive modelling of peroxisome proliferator-activated receptor gamma (PPARγ) IC50 inhibition by emerging pollutants using light gradient boosting machine2
QSAR classification model for diverse series of antifungal agents based on binary coyote optimization algorithm2
Molecular docking-based interactions in QSAR studies on Mycobacterium tuberculosis ATP synthase inhibitors2
Unravelling the molecular recognition mechanism between odorants and PBP1 in Loxostege sticticalis by homology modelling, molecular docking, and MD simul2
Exploring crucial structural attributes of quinolinyl methoxyphenyl sulphonyl-based hydroxamate derivatives as ADAM17 inhibitors through classification-dependent molecular modelling approaches2
Correction2
Exploration of structural alerts and fingerprints for novel anticancer therapeutics: a robust classification-QSAR dependent structural analysis of drug-like MMP-9 inhibitors2
Identification of novel inhibitors targeting TIRAP interactions with BTK and PKCδ in inflammation through an in silico approach2
Thiazolidinsone derivatives bearing sulfonamide group as potential antimicrobial agents: biological and in silico evaluation2
Interpretable QSAR modelling for immunotoxicity prediction using enhanced fingerprint and SHAP-based feature selection2
A quantitative structural analysis of AR-42 derivatives as HDAC1 inhibitors for the identification of promising structural contributors2
Exploring the Traditional Chinese Medicine (TCM) database chemical space to target I7L protease from monkeypox virus using molecular screening and simulation approaches2
Exploiting the chemical diversity space of phosphopeptide binding to nasopharyngeal carcinoma PLK1 PBD domain with unnatural amino acid building blocks by using QSAR-based genetic optimization2
Targeting MAO-B selectivity: computational screening, docking, and molecular dynamics insights2
Potential antioxidant, α-glucosidase, butyrylcholinesterase and acetylcholinesterase inhibitory activities of major constituents isolated from Alpinia officinarum hance 2
Read-across-driven binary classification for the developmental and reproductive toxicity of organic compounds tested according to the OECD test guidelines 421/4222
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