QSPR/QSAR Analyses by Means of the CORAL Software

Author:

Toropov Andrey A.1ORCID,Toropova Alla P.1ORCID,Benfenati Emilio1,Nicolotti Orazio2ORCID,Carotti Angelo2,Nesmerak Karel3,Veselinović Aleksandar M.4,Veselinović Jovana B.4,Duchowicz Pablo R.5ORCID,Bacelo Daniel6,Castro Eduardo A.5,Rasulev Bakhtiyor F.7ORCID,Leszczynska Danuta7,Leszczynski Jerzy7

Affiliation:

1. IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Italy

2. Università degli Studi di Bari “Aldo Moro”, Italy

3. Charles University in Prague, Czech Republic

4. University of Niš, Serbia

5. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas INIFTA (UNLP, CCT La Plata-CONICET), Argentina

6. Universidad de Belgrano, Argentina

7. Jackson State University, USA

Abstract

In this chapter, the methodology of building up quantitative structure—property/activity relationships (QSPRs/QSARs)—by means of the CORAL software is described. The Monte Carlo method is the basis of this approach. Simplified Molecular Input-Line Entry System (SMILES) is used as the representation of the molecular structure. The conversion of SMILES into the molecular graph is available for QSPR/QSAR analysis using the CORAL software. The model for an endpoint is a mathematical function of the correlation weights for various features of the molecular structure. Hybrid models that are based on features extracted from both SMILES and a graph also can be built up by the CORAL software. The conceptually new ideas collected and revealed through the CORAL software are: (1) any QSPR/QSAR model is a random event; and (2) optimal descriptor can be a translator of eclectic information into an endpoint prediction.

Publisher

IGI Global

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