Results 111 to 120 of about 20,098 (148)

Grounds, Beds, and Reefs of the Endangered Coral <i>Cladocora caespitosa</i> With Description of the Tremiti Reef. [PDF]

Ecol Evol
Chimienti G, Tursi A, Logrieco A, De Giosa F, Mastrototaro F.   +4 more
europepmc   +1 more source

A draft genome assembly of the mushroom coral Podabacia crustacea (Pallas, 1766). [PDF]

Sci Data
Tang C, Chen X, Ke S, Han W, Chang X, Li X, Wang Z, Chen K, Bao L, Hu J, Wang S, Bao Z.   +11 more
europepmc   +1 more source

Adiponectin 1 receptor is increased but not adiponectin levels in the tumour microenvironment of postmenopausal women with breast cancer. [PDF]

Mol Biol Rep
García-Mata D, Tenorio-Torres A, Coral-Vázquez RM, Dávalos-Herrera A, Bautista-Piña V, Canto P.   +5 more
europepmc   +1 more source

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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.
Emilio, Benfenati, Andrey A, Toropov, Alla P, Toropova, Alberto, Manganaro, Rodolfo, Gonella Diaza   +4 more
openaire   +2 more sources

CORAL-SDN: A software-defined networking solution for the Internet of Things

2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2017
Recent proposals enhances Wireless Sensor Networks (WSNs) with Software Defined Networking (SDN) practices, introducing new innovative network control strategies and protocols based on a central control logic, i.e., enabling WSNs as crucial facilities for the Internet of Things (IoT).
Tryfon Theodorou, Lefteris Mamatas
openaire   +1 more source

Coral-software to help operate and manage advanced university laboratories

Proceedings of the 15th Biennial University/Government/ Industry Microelectronics Symposium (Cat. No.03CH37488), 2004
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
openaire   +1 more source

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. The predictive potential of the approach has been demonstrated for QSAR models developed for inhibitor concentrations (negative decimal logarithm of IC50) of ...
Alla P, Toropova, Andrey A, Toropov, Danuta, Leszczynska, Jerzy, Leszczynski   +3 more
openaire   +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 ...
Bill Murray, Mike Murray, John Shott, Ike Lin   +3 more
openaire   +1 more source

Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli

Chemosphere, 2012
Convenient to apply and available on the Internet software CORAL (http://www.insilico.eu/CORAL) has been used to build up quantitative structure-activity relationships (QSAR) for prediction of cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli (minus logarithm of concentration for 50% effect pEC50).
A. A. Toropov, A. P. Toropova, E. Benfenati, GINI, GIUSEPPINA, T. Puzyn, D. Leszczynska, J. Leszczynski   +6 more
openaire   +3 more sources

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

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.
Andrey A, Toropov, Alla P, Toropova, Alessandra, Roncaglioni, Emilio, Benfenati   +3 more
openaire   +2 more sources