Neural networks are a machine learning method that excel in solving classification and
forecasting problems. They have also been shown to be a useful tool for working with big …

Bionformatics models describe that structure-property relationships of systems may play an
important role to reduce costs in terms of time, human resources, material resources, as well …

Graph and Complex Network theory is expanding its application to different levels of matter
organization such as molecular, biological, technological, and social networks. A network is …

The spatial distribution of genes in chromosomes seems not to be random. For instance,
only 10% of genes are transcribed from bidirectional promoters in humans, and many more …

The use of numerical parameters in Complex Network analysis is expanding to new fields of
application. At a molecular level, we can use them to describe the molecular structure of …

The Randic index is a well known topological index (TI) used in QSAR/QSPR studies to
quantify the molecular structure represented by a graph. In this work we review some …

Complex systems and networks appear in almost all areas of reality. We find then from
proteins residue networks to Protein Interaction Networks (PINs). Chemical reactions form …

La teoría de redes complejas permite estudiar sistemas biomoleculares. Dado que los
grafos pueden representar redes, en una red de proteína, como ejemplo, los nodos son los …

Los modelos computacionales, conocidos por su acrónimo en idioma Inglés como QSPR
(Quantitative Structure-Property Relationships) pueden usarse para predecir propiedades …

D./Dña. SERGIO ÁL V AREZ SÁNCHEZ estudiante en el Programa de Doctorado COM.
AUDIOVISUAL, PUBLICIDAD y RR. PP. de la Facultad de Ciencias de la Infonnación G de …