Chemical basis of interactions between engineered nanoparticles and biological systems

Q Mu, G Jiang, L Chen, H Zhou, D Fourches… - Chemical …, 2014 - ACS Publications
As defined by the European Commission, a nanomaterial is a natural, an incidental, or a
manufactured material containing particles in an unbound state or as an aggregate or …

[HTML][HTML] Machine learning for CO2 capture and conversion: A review

SE Jerng, YJ Park, J Li - Energy and AI, 2024 - Elsevier
Coupled electrochemical systems for the direct capture and conversion of CO 2 have
garnered significant attention owing to their potential to enhance energy-and cost-efficiency …

Universal fragment descriptors for predicting properties of inorganic crystals

O Isayev, C Oses, C Toher, E Gossett… - Nature …, 2017 - nature.com
Although historically materials discovery has been driven by a laborious trial-and-error
process, knowledge-driven materials design can now be enabled by the rational …

QSAR modeling: where have you been? Where are you going to?

A Cherkasov, EN Muratov, D Fourches… - Journal of medicinal …, 2014 - ACS Publications
Quantitative structure–activity relationship modeling is one of the major computational tools
employed in medicinal chemistry. However, throughout its entire history it has drawn both …

CATMoS: collaborative acute toxicity modeling suite

K Mansouri, AL Karmaus, J Fitzpatrick… - Environmental …, 2021 - ehp.niehs.nih.gov
Background: Humans are exposed to tens of thousands of chemical substances that need to
be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for …

CERAPP: collaborative estrogen receptor activity prediction project

K Mansouri, A Abdelaziz, A Rybacka… - Environmental …, 2016 - ehp.niehs.nih.gov
Background: Humans are exposed to thousands of man-made chemicals in the
environment. Some chemicals mimic natural endocrine hormones and, thus, have the …

Trust, but verify II: a practical guide to chemogenomics data curation

D Fourches, E Muratov, A Tropsha - Journal of chemical …, 2016 - ACS Publications
There is a growing public concern about the lack of reproducibility of experimental data
published in peer-reviewed scientific literature. Herein, we review the most recent alerts …

Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

I Sushko, S Novotarskyi, R Körner, AK Pandey… - Journal of computer …, 2011 - Springer
Abstract The Online Chemical Modeling Environment is a web-based platform that aims to
automate and simplify the typical steps required for QSAR modeling. The platform consists of …

Quantitative nanostructure− activity relationship modeling

D Fourches, D Pu, C Tassa, R Weissleder, SY Shaw… - ACS …, 2010 - ACS Publications
Evaluation of biological effects, both desired and undesired, caused by manufactured
nanoparticles (MNPs) is of critical importance for nanotechnology. Experimental studies …

Critical Assessment of QSAR Models of Environmental Toxicity against Tetrahymena pyriformis: Focusing on Applicability Domain and Overfitting by Variable …

IV Tetko, I Sushko, AK Pandey, H Zhu… - Journal of chemical …, 2008 - ACS Publications
The estimation of the accuracy of predictions is a critical problem in QSAR modeling. The
“distance to model” can be defined as a metric that defines the similarity between the …