Prediction of the antibacterial activity of garlic extract on E. coli, S. aureus and B. subtilis by determining the diameter of the inhibition zones using artificial neural …
D Atsamnia, M Hamadache, S Hanini… - LWT-Food Science and …, 2017 - Elsevier
The aim of this study was to devise a model that predicts the inhibition zone diameter using
artificial neural networks. The concentration, temperature and the exposure time of our …
artificial neural networks. The concentration, temperature and the exposure time of our …
Maximal information coefficient and support vector regression based nonlinear feature selection and QSAR modeling on toxicity of alcohol compounds to tadpoles of …
Efficient evaluation of biotoxicity of organics is of vital significance to resource utilization and
environmental protection. In this study, toxicity of 110 alcohol compounds to tadpoles of …
environmental protection. In this study, toxicity of 110 alcohol compounds to tadpoles of …
Evaluation of Phenolic Compound Toxicity Using a Bioluminescent Assay with the Fungus Gerronema viridilucens
FF Ventura, LF Mendes, AG Oliveira… - Environmental …, 2020 - Wiley Online Library
Basidiomycetes (phylum Basidiomycota) are filamentous fungi characterized by the
exogenous formation of spores on a club‐shaped cell called a basidium that are often …
exogenous formation of spores on a club‐shaped cell called a basidium that are often …
QSAR—an important in-silico tool in drug design and discovery
R Veerasamy - Advances in computational modeling and simulation, 2022 - Springer
QSAR (Quantitative structure–activity relationship) study is important thirst area in drug
design and discovery via computational studies of chemistry. The hypothesis, alterations in …
design and discovery via computational studies of chemistry. The hypothesis, alterations in …
ML-based Read-Across Structure-Property Relationship (RASPR) strategy for predicting protein resistance of self-assembled monolayers (SAMs) as anti-biofouling …
Designing highly effective antifouling materials is essential in many medical applications like
implantable devices, regenerative medicine, biosensors etc. The experimental design based …
implantable devices, regenerative medicine, biosensors etc. The experimental design based …
Chi-MIC-share: A new feature selection algorithm for quantitative structure–activity relationship models
Quantitative structure–activity relationship models are used in toxicology to predict the
effects of organic compounds on aquatic organisms. Common filter feature selection …
effects of organic compounds on aquatic organisms. Common filter feature selection …
An Electronic‐structure Informatics Study on the Toxicity of Alkylphenols to Tetrahymena pyriformis
Alkylphenols (APs) dissolved in water are known to be toxic to animals including humans. In
this study, regression models describing the toxicity of the 33 AP molecules were …
this study, regression models describing the toxicity of the 33 AP molecules were …
Toxicity evaluation of five polyaromatic hydrocarbons to Escherichia coli using microcalorimetry and QASRs
X Wu, J Yao, F Wang, J Ma, J Sun, R Liu - International Biodeterioration & …, 2018 - Elsevier
The toxicity of five polyaromatic hydrocarbons (PAHs) to metabolism of Escherichia coli (E.
coli) was evaluated with key parameters, including growth constant (k) and inhibitory ratio (I) …
coli) was evaluated with key parameters, including growth constant (k) and inhibitory ratio (I) …
ANN QSAR workflow for predicting the inhibition of HIV-1 reverse transcriptase by pyridinone non-nucleoside derivatives
A Barzegar, E Zamani-Gharehchamani… - Future medicinal …, 2017 - Taylor & Francis
Aim: Pyridinone derivatives have high potency against non-nucleoside reverse transcriptase
inhibitor (NNRTI)-resistant human immunodeficiency virus type-1 strains. Quantitative …
inhibitor (NNRTI)-resistant human immunodeficiency virus type-1 strains. Quantitative …
Forecasting wildfire disease on tobacco: toward developing a high-accuracy prediction model for disease index using local climate factors and support vector …
XH Cai, T Chen, RY Wang, YJ Fan, Y Li, SN Hu… - Theoretical and Applied …, 2019 - Springer
Tobacco wildfire disease is common globally, and climate change may increase the risk of
outbreaks. Therefore, there is an urgent need to establish an effective climate model to …
outbreaks. Therefore, there is an urgent need to establish an effective climate model to …