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 …

FAM72, glioblastoma multiforme (GBM) and beyond

NTT Ho, CS Rahane, S Pramanik, PS Kim, A Kutzner… - Cancers, 2021 - mdpi.com
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 …

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 …

Toxicity of binary mixtures of pesticides and pharmaceuticals toward Vibrio fischeri: Assessment by quantitative structure-activity relationships

MS Bureš, Š Ukić, M Cvetnić, V Prevarić, M Markić… - Environmental …, 2021 - Elsevier
Pollutants in real aquatic systems commonly occur as chemical mixtures. Yet, the
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 …

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 …

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 …

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 …

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 …

[PDF][PDF] FAM72, Glioblastoma Multiforme (GBM) and Beyond. Cancers 2021, 13, 1025

NTT Ho, CS Rahane, S Pramanik, PS Kim, A Kutzner… - 2021 - academia.edu
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 …