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Genomic data analysis refers to the collection of methods and tools used to interpret the massive amount of data generated by next-generation sequencing (NGS) technologies, which have revolutionized biological research. Genomic data encompass a wide range of information, including DNA sequences, RNA transcripts, metagenomic samples, and epigenetic modifications.

SwissTargetPrediction is a web-based tool, available online since 2014, designed to predict the most probable protein targets of small molecules. The predictions are based on the principle of similarity through reverse screening.

One of the ultimate goals of modern quantum chemistry is to solve the Schrödinger equation, which describes the electronic structure and properties of atoms and molecules based on fundamental physical principles. This ab initio approach provides the ability to make theoretical predictions without relying on experimental data.

Molecular docking is an in silico method used to predict how and how strongly a ligand binds to the binding site of a target protein. It is widely used in drug discovery and drug design.

The genome is the fundamental structure underlying heredity in organisms. Genomic information serves as a kind of library about the organism. In addition to directing essential biological functions of cells such as growth, development, and metabolism, the genome also contains non-coding DNA regions, regulatory regions, and repetitive sequences. The definition of a genome is not limited to DNA alone. In some organisms, genetic material exists in the form of RNA for example, in