IChemSpace, Interactive Visualization of Chemical Space

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What is Chemical Space?


picture from discovermoab.com

Chemical space — which encompasses all possible small organic molecules, including those present in biological systems — is vast

NATURE 2004, 432: 824–828

Chemical space is a concept in cheminformatics referring to the property space spanned by all possible molecules and chemical compounds adhering to a given set of construction principles and boundary conditions

WIKIPEDIA

Chemical space is the space spanned by all possible molecules and chemical compounds – that is, all stoichiometric combinations of electrons and atomic nuclei, in all possible topology isomers. Chemical reactions allow us to move in chemical space. The mapping between chemical space and molecular properties is often not unique, meaning that there can be multiple molecules which exhibit the same properties. Material design and drug discovery both involve the exploration of chemical space.

DEFINITIONS.NET


How to Visualise Chemical Space?


Chemicals can be characterized by a wide range of ‘descriptors’, such as their molecular mass, lipophilicity (their affinity for a lipid environment) and topological features. ‘Chemical space’ is a term often used in place of ‘multi-dimensional descriptor space’: it is a region defined by a particular choice of descriptors and the limits placed on them.


NATURE 2004, 432, 824–828

There have been several analyses of the chemical space covered by drug molecules, chemical libraries and natural products. Two basic methods have been used: the first visualises chemical property space based on physicochemical properties; the second is based on chemical structure.

Drug discovery today, 2013, 18(5-6): 298-304.

Systematic exploration of chemical space is possible by creating in silico databases of virtual molecules, which can be visualized by projecting multidimentional property space of molecules in lower dimensions.

DEFINITIONS.NET


Ready to get started? Read the user guide and try some examples or analysis your own datasets from scratch.

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