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      Chemical space: limits, evolution and modelling of an object bigger than our universal library

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      Digital Discovery
      Royal Society of Chemistry (RSC)

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          Abstract

          Chemical space as a directed hypergraph network of chemical reactions and its upper bounds (equations). Inside the world different anthropogenic, social and technological factors influencing it.

          Abstract

          Chemical space entails substances endowed with a notion of nearness that comes in two flavours: similarity and synthetic reachability. What is the maximum size for the chemical space? Is there an upper bound for its classes of similar substances? How many substances and reactions can it house? Can we store these features of the chemical space? Here I address these questions and show that the physical universe does not suffice to store the chemical one embodied in the chemical space. By analysing the historical evolution of the space as recorded by chemists over the centuries, I show that it has been mainly expanded by synthesis of organic compounds and unfolds at an exponential rate doubling its substances each 16 years. At the turn of the 20th century it left behind an expansion period driven by reactions and entered the current era ruled by substance discovery, which often relies on some few starting materials and reaction classes. Extrapolating from these historical trends, synthesising a large set of affordable chemicals in the foreseeable future would require trebling the historical stable speed rate of discovery of new chemicals. Likewise, creating a database of failed reactions accounting for 25% of the known chemical space to assist the artificial intelligence expansion of the space could be afforded if the synthetic efforts of the coming five years are entirely dedicated to this task. Finally, I discuss hypergraph reaction models to estimate the future shape of the network underlying the chemical space.

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          Global mapping of pharmacological space.

          We present the global mapping of pharmacological space by the integration of several vast sources of medicinal chemistry structure-activity relationships (SAR) data. Our comprehensive mapping of pharmacological space enables us to identify confidently the human targets for which chemical tools and drugs have been discovered to date. The integration of SAR data from diverse sources by unique canonical chemical structure, protein sequence and disease indication enables the construction of a ligand-target matrix to explore the global relationships between chemical structure and biological targets. Using the data matrix, we are able to catalog the links between proteins in chemical space as a polypharmacology interaction network. We demonstrate that probabilistic models can be used to predict pharmacology from a large knowledge base. The relationships between proteins, chemical structures and drug-like properties provide a framework for developing a probabilistic approach to drug discovery that can be exploited to increase research productivity.
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            Little Science, Big Science

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              Higher-order multicomponent reactions: beyond four reactants.

              Multicomponent reactions (MCRs) are by far the most successful class of reactions leading to high structural diversity and molecular complexity through a single transformation. As part of the ongoing search for pharmacologically active lead structures, the obtained structural diversity allows for the fast exploration of a large chemical space. Not surprisingly, the development of MCRs, leading to new structural frameworks or serving as key transformations in the total synthesis of natural products, has expanded rapidly over the last few decades. To date a multitude of new three- and four-component reactions have already been described; however, examples of "higher-order" MCRs where five or even more components are combined in a single reaction vessel are remarkably scarce. This tutorial review aims to critically describe the developments achieved in recent years, charting the ideas, challenges, and milestone reactions that were essential for the progress of this field.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                DDIIAI
                Digital Discovery
                Digital Discovery
                Royal Society of Chemistry (RSC)
                2635-098X
                October 10 2022
                2022
                : 1
                : 5
                : 568-585
                Affiliations
                [1 ]Max Planck Institute for Mathematics in the Sciences, Inselstraße 22, 04103 Leipzig, Germany
                Article
                10.1039/D2DD00030J
                6f9c7323-51f3-4226-aaaf-b9c0dbbea8f7
                © 2022

                http://creativecommons.org/licenses/by/3.0/

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