The physical interaction of proteins which lead to compiling them into large densely
connected networks is a noticeable subject to investigation. Protein interaction networks are …

Availability of large-scale experimental data for cell biology is enabling computational
methods to systematically model the behaviour of cellular networks. This review surveys the …

Proteins do not function in isolation; it is their interactions with one another and also with
other molecules (eg DNA, RNA) that mediate metabolic and signaling pathways, cellular …

Abstract Background The Coronavirus disease 2019 pneumonia broke out in 2019 (COVID-
19) and spread rapidly, which causes serious harm to the health of people and a huge …

The emerging field of network science deals with the tasks of modeling, comparing, and
summarizing large data sets that describe complex interactions. Because pairwise affinity …

By determining protein-protein interactions in normal, diseased and infected cells, we can
improve our understanding of cellular systems and their reaction to various perturbations. In …

Protein-protein interaction (PPI) networks are viable tools to understand cell functions,
disease machinery, and drug design/repositioning. Interpreting a PPI, however, it is a …

Varios elementos epistemológicos y metodológicos han sido propuestos como tendencia
alternativa a la ciencia contemporánea, agrupados bajo el rótulo de" nuevo paradigma" y …

The genomic era has been characterised by vast amounts of data from diverse sources,
creating a need for new tools to extract biologically meaningful information. Bioinformatics is …

Glycemic traits are critical indicators of maternal and fetal health during pregnancy. We
performed genetic analysis for five glycemic traits in 14,744 Chinese pregnant women. Our …