Results 171 to 180 of about 3,102,311 (207)

coral Software: QSAR for Anticancer Agents

Chemical Biology & Drug Design, 2011
CORrelations And Logic (coral at http://www.insilico.eu/coral) is freeware aimed at establishing a quantitative structure – property/activity relationships (QSPR/QSAR). Simplified molecular input line entry system (SMILES) is used to represent the molecular structure.
E. Benfenati, A. Toropov, A. Toropova, A. Manganaro, R. Gonella Diaza   +4 more
semanticscholar   +3 more sources

How the CORAL software can be used to select compounds for efficient treatment of neurodegenerative diseases?

Toxicology and Applied Pharmacology, 2020
Recommendations on the efficient application of CORAL software (http://www.insilico.eu/coral) to establish quantitative structure-property/activity relationships (QSPRs/QSARs) are provided.
A. Toropova, A. Toropov, D. Leszczyńska, J. Leszczynski   +3 more
semanticscholar   +3 more sources

Prediction of Biochemical Endpoints by the CORAL Software: Prejudices, Paradoxes, and Results.

Methods in molecular biology, 2018
Quantitative structure-activity relationships (QSARs) for prediction of toxicological endpoints built up with the CORAL software are discussed. Prejudices related to these QSAR models are listed. Possible ways to improve the software are discussed.
A. Toropov, A. Toropova, A. Roncaglioni, E. Benfenati   +3 more
semanticscholar   +3 more sources

Coral-software to help operate and manage advanced university laboratories

Proceedings of the 15th Biennial University/Government/ Industry Microelectronics Symposium (Cat. No.03CH37488), 2003
This paper describes the Coral software package. Coral is a Java application designed specifically for use in advanced university research laboratories with numerous pieces of equipment. Wherever possible, Coral has been based on widely accepted standards and makes use of public domain or open-source software.
B. Murray, I. Lin, T. Lohman, M. Bell, J. Shott   +4 more
semanticscholar   +2 more sources

Coral - Software to Help Operate and Manage Advanced University Laboratories

2008 17th Biennial University/Government/Industry Micro/Nano Symposium, 2008
Coral is a software package designed to assist in the operation and management of university micro- and nanofabrication shared facilities that was originally described at UGIM 2003. It is being developed primarily by Stanford with help from MIT and is in "production" use at the Stanford Nanofabrication Facility and the MIT Microsystems Technology ...
B. Murray, M. Murray, J. Shott, I. Lin
semanticscholar   +2 more sources

The CORAL Software as a Tool to Develop Models for Nanomaterials’ Endpoints

Challenges and Advances in Computational Chemistry and Physics, 2023
Alla P Toropova, Andrey A Toropov
exaly   +2 more sources

Simulation of polydimethylsiloxane-water partition coefficients for organic compounds using the CORAL software

Structural Chemistry
A. Toropov, A. Toropova, Simonella Stefano, A. Roncaglioni, Emilio Benfenati   +4 more
semanticscholar   +2 more sources

Evaluation of Coral Reef Health Status in the Fish Sanctuary of San Esteban, Ilocos Sur

Vector, 2023
Studies on corals are lacking in Ilocos Sur’s marine protected areas (MPAs), hindering management effort development. This study evaluated the health status of coral reefs in the San Esteban Fish Sanctuary. Hard coral cover, hard coral diversity in terms
Jericho A. Mendoza, Ash Lee, R. Verzosa, Antonio N. Ayop   +3 more
semanticscholar   +1 more source

CORAL: Development of A hybrid descriptor based QSTR model to predict the toxicity of Dioxins and Dioxin-like Compounds with Correlation Intensity Index and Consensus Modelling.

Environmental Toxicology and Pharmacology, 2022
In the present study, ninety-five halogenated dioxins and related chemicals (dibenzo-p-dioxins, dibenzofurans, biphenyls, and naphthalene) with endpoint pEC50 were used to develop twelve quantitative structure toxicity relationship (QSTR) models using ...
Parvin Kumar, Ashwani Kumar, Devender Singh   +2 more
semanticscholar   +1 more source

Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural networka).

Journal of the Acoustical Society of America
The quantity of passive acoustic data collected in marine environments is rapidly expanding; however, the software developments required to meaningfully process large volumes of soundscape data have lagged behind. A significant bottleneck in the analysis
Seth McCammon, N. Formel, Sierra D. Jarriel, T. A. Mooney   +3 more
semanticscholar   +1 more source