Keywords: سم شناسی محاسباتی; AM; alveolar macrophage; cAM; alveolar macrophage count (= TCC x AM); cPMN; polymorphonuclear neutrophil count (TCC x PMN); BAL; bronchoalveolar lavage; BET; Brunauer-Emmett-Teller; BMCL; benchmark concentration lower confidence limit; GSD; geometric stan
مقالات ISI سم شناسی محاسباتی (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: سم شناسی محاسباتی; Molecular dynamics; Simulations; Computational toxicology; Nanotoxicology; Software; Biomolecule;
Keywords: سم شناسی محاسباتی; In silico; In silico toxicology; Computational toxicology; Predictive toxicology; QSAR; Expert alert; Expert review;
Keywords: سم شناسی محاسباتی; Food ingredient; Feed ingredient; Computational toxicology; In silico; Genotoxicity; Ames; Micronucleus test; Chromosomal aberration; CAb; chromosome aberration; CHO; Chinese hamster ovary; CHL; Chinese hamster lung; FP; false positive; EXP; experimental
Keywords: سم شناسی محاسباتی; Computational toxicology; In silico methods; QSAR; Carcinogenicity; Mutagenicity;
Keywords: سم شناسی محاسباتی; ICH M7; Computational toxicology; Genotoxic impurities; Structure-activity relationships;
Keywords: سم شناسی محاسباتی; In silico toxicology; In silico methods; QSAR; Computational toxicology; Drug toxicity
Keywords: سم شناسی محاسباتی; (Q)SAR; Read across; Weight of evidence; In silico methods; Computational toxicology; Packaging migrants;
Construction and application of (Q)SAR models to predict chemical-induced in vitro chromosome aberrations
Keywords: سم شناسی محاسباتی; Chromosome aberration; In vitro; Structure-activity relationship; (Q)SAR; QSAR; Computational toxicology; Genotoxicity; Genetic toxicity; Drug; Regulatory review;
Autoencoder Predicting Estrogenic Chemical Substances (APECS): An improved approach for screening potentially estrogenic chemicals using in vitro assays and deep learning
Keywords: سم شناسی محاسباتی; Deep learning; Autoencoder; Endocrine disruptor; Estrogenic; Predictive toxicology; Computational toxicology; High throughput screening;
Exploring the role of quantum chemical descriptors in modeling acute toxicity of diverse chemicals to Daphnia magna
Keywords: سم شناسی محاسباتی; Quantitative structure–activity relationships; Aquatic toxicology; Computational toxicology; Environmental toxicology; Organic contaminants
A novel QSAR model of Salmonella mutagenicity and its application in the safety assessment of drug impurities
Keywords: سم شناسی محاسباتی; Safety; Mutagenicity; QSAR; Modeling; Binned algorithms; Computational toxicology;
Chemical Safety for Sustainability (CSS): Human in vivo biomonitoring data for complementing results from in vitro toxicology—A commentary
Keywords: سم شناسی محاسباتی; Exposure science; Toxicological risk; Computational toxicology; Biomonitoring; Systems biology; High-throughput screening
SAR/QSAR methods in public health practice
Keywords: سم شناسی محاسباتی; Structure–activity relationships; SAR/QSAR; Modeling; Computational toxicology; Public health practice
Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part B. Use of (Q)SAR systems for early detection of drug-induced hepatobiliary and urinary tract toxicities
Keywords: سم شناسی محاسباتی; AERS; Computational toxicology; Drug adverse effects; Drug-induced liver injury; Drug-induced renal toxicity; In silico; Post-market reporting; Quantitative structure-activity relationships; QSAR software; SAR; SRS
Identification of structure–activity relationships for adverse effects of pharmaceuticals in humans: Part C: Use of QSAR and an expert system for the estimation of the mechanism of action of drug-induced hepatobiliary and urinary tract toxicities
Keywords: سم شناسی محاسباتی; Adverse drug effects; AERS; Clinical indication; Computational toxicology; Drug-induced kidney toxicity; Drug-induced liver toxicity; In silico; Mechanism of action; Pharmaceutical patent; Post-market reporting; Quantitative structure–activity relationshi
Summary of the workshop on the power of aggregated toxicity data
Keywords: سم شناسی محاسباتی; Computational toxicology; Data sharing; Interagency; Risk assessment
Toxicological relationships between proteins obtained from protein target predictions of large toxicity databases
Keywords: سم شناسی محاسباتی; Protein target prediction; Winnow algorithm; Computational toxicology; Toxicity
Prediction of the health effects of polychlorinated biphenyls (PCBs) and their metabolites using quantitative structure–activity relationship (QSAR)
Keywords: سم شناسی محاسباتی; QSAR; SAR; Computational toxicology; Polychlorinated biphenyls; PCBs
A comprehensive model for reproductive and developmental toxicity hazard identification: II. Construction of QSAR models to predict activities of untested chemicals
Keywords: سم شناسی محاسباتی; MC4PC; Computational toxicology; Developmental toxicity; Dysmorphogenesis; Predictive modeling; Quantitative structure activity relationships (QSAR); Reproductive toxicity; Reprotox; Teratogenicity; Weight of evidence
An analysis of genetic toxicity, reproductive and developmental toxicity, and carcinogenicity data: II. Identification of genotoxicants, reprotoxicants, and carcinogens using in silico methods
Keywords: سم شناسی محاسباتی; MC4PC; Computational toxicology; Quantitative structure–activity relationships; Predictive modeling; Genetic toxicity; Genetox; Reproductive and developmental toxicity; Reprotox; Carcinogenicity; Rodent carcinogenicity bioassay; Surrogate