Quantitative structure-activity relationships of aquatic narcosis: a review
C Adhikari, B Mishra - Current computer-aided drug design, 2018 - benthamdirect.com
Background: Prior estimation of toxicity of each and every, existing and yet to be synthesized
chemicals is a must to elude their adverse effect on the environment. Experimental …
chemicals is a must to elude their adverse effect on the environment. Experimental …
FAM72, glioblastoma multiforme (GBM) and beyond
Simple Summary Glioblastoma multiforme (GBM) is a serious and aggressive cancer
disease that has not allowed scientists to rest for decades. In this review, we consider the …
disease that has not allowed scientists to rest for decades. In this review, we consider the …
ARKA: a framework of dimensionality reduction for machine-learning classification modeling, risk assessment, and data gap-filling of sparse environmental toxicity …
A Banerjee, K Roy - Environmental Science: Processes & Impacts, 2024 - pubs.rsc.org
Due to the lack of experimental toxicity data for environmental chemicals, there arises a
need to fill data gaps by in silico approaches. One of the most commonly used in silico …
need to fill data gaps by in silico approaches. One of the most commonly used in silico …
Toxicity of binary mixtures of pesticides and pharmaceuticals toward Vibrio fischeri: Assessment by quantitative structure-activity relationships
Pollutants in real aquatic systems commonly occur as chemical mixtures. Yet, the
corresponding risk assessment is still mostly based on information on single-pollutant …
corresponding risk assessment is still mostly based on information on single-pollutant …
Modeling the toxicity of chemical pesticides in multiple test species using local and global QSTR approaches
N Basant, S Gupta, KP Singh - Toxicology research, 2016 - academic.oup.com
The safety assessment processes require the toxicity data of chemicals in multiple test
species and thus, emphasize the need for computational methods capable of toxicity …
species and thus, emphasize the need for computational methods capable of toxicity …
Predicting aquatic toxicities of chemical pesticides in multiple test species using nonlinear QSTR modeling approaches
N Basant, S Gupta, KP Singh - Chemosphere, 2015 - Elsevier
In this study, we established nonlinear quantitative-structure toxicity relationship (QSTR)
models for predicting the toxicities of chemical pesticides in multiple aquatic test species …
models for predicting the toxicities of chemical pesticides in multiple aquatic test species …
q-RASTR modelling for prediction of diverse toxic chemicals towards T. pyriformis
V Ghosh, A Bhattacharjee, A Kumar… - SAR and QSAR in …, 2024 - Taylor & Francis
ABSTRACT A series of diverse organic compounds impose serious detrimental effects on
the health of living organisms and the environment. Determination of the structural aspects …
the health of living organisms and the environment. Determination of the structural aspects …
Predicting aquatic toxicities of benzene derivatives in multiple test species using local, global and interspecies QSTR modeling approaches
S Gupta, N Basant, KP Singh - RSC advances, 2015 - pubs.rsc.org
Benzene derivatives (BDs) are widely used industrial chemicals and their toxic effects are
well documented. The experimental toxicology being cost and time intensive, this …
well documented. The experimental toxicology being cost and time intensive, this …
Positional isomeric effect on the crystallization of chlorine-substituted N-phenyl-2-phthalimidoethanesulfonamide derivatives
S Köktaş Koca, R Sevinçek, Ö Akgül… - … Section C: Structural …, 2015 - journals.iucr.org
The ortho-, para-and meta-chloro-substituted N-chlorophenyl-2-
phthalimidoethanesulfonamide derivatives, C16H13ClN2O4S, have been structurally …
phthalimidoethanesulfonamide derivatives, C16H13ClN2O4S, have been structurally …
[PDF][PDF] FAM72, Glioblastoma Multiforme (GBM) and Beyond. Cancers 2021, 13, 1025
Neural stem cells (NSCs) offer great potential for regenerative medicine due to their
excellent ability to differentiate into various specialized cell types of the brain. In the central …
excellent ability to differentiate into various specialized cell types of the brain. In the central …