Título del libro: Foodinformatics: Applications Of Chemical Information To Food Chemistry
Título del capítulo: Chemoinformatics analysis and structural similarity studies of food-related databases
KARINA MARTINEZ MAYORGA; JOSE LUIS MEDINA FRANCO;
Autores externos:
Idioma:
Inglés
Año de publicación:
2014
Palabras clave:
Bioactivity; Chemical industry; Database systems; Problem solving; Anti oxidative activity; Molecular fingerprint; Molecular representations; Pharmaceutical industry; Similarity Searching; Structural similarity; Structure property relationships; Structure/activity relationship; Chemical analysis
Resumen:
Chemoinformatics approaches to problem solving are commonly used in both academia and industry, and while a major focus is the pharmaceutical industry, many other sectors of the chemical industry lend themselves to it equally well. The chemoinformatic concepts, thoroughly discussed in Chap. 1 of this book, are general and can also be applied to address problems frequently encountered in food chemistry. A general strategy when applying these computational methods is to replace biological activity by a food-related property, for instance, flavor character or antioxidative activity. In many cases, the representation of the chemical structure remains the same (using, for example, molecular fingerprints, physicochemical and/or structure/substructure representations). In other words, structure/activity relationships (SAR) studies commonly conducted in medicinal chemistry for the purpose of drug discovery can be generalized to the study of structure-property relationships (SPR) for virtually any chemistry-related project. Herein, we discuss representative and specific applications of methods used in chemoinformatics to mine data and characterize SPR information relevant to food chemistry. The chapter is organized into two major sections. First, we discuss exemplary applications of chemoinformatic analyses and characterization of the chemical space of compound databases. In this section, we cover major related concepts such as chemical space and molecular representation. The second section is focused on the application of similarity searching to food chemical databases. © 2014 Springer International Publishing Switzerland. All rights are reserved.
Entidades citadas de la UNAM:
ISBN:
9783319102269
Editorial:
Springer International Publishing Nombre de la publicación:
Chemoinformatics analysis and structural similarity studies of food-related databases
Página inicial:
97
Página final:
110
