Dataset Information

Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase-1 Inhibitors by Automated De Novo Design.

ABSTRACT: The repertoire of natural products offers tremendous opportunities for chemical biology and drug discovery. Natural product-inspired synthetic molecules represent an ecologically and economically sustainable alternative to the direct utilization of natural products. De novo design with machine intelligence bridges the gap between the worlds of bioactive natural products and synthetic molecules. On employing the compound Marinopyrrole A from marine Streptomyces as a design template, the algorithm constructs innovative small molecules that can be synthesized in three steps, following the computationally suggested synthesis route. Computational activity prediction reveals cyclooxygenase (COX) as a putative target of both Marinopyrrole A and the de novo designs. The molecular designs are experimentally confirmed as selective COX-1 inhibitors with nanomolar potency. X-ray structure analysis reveals the binding of the most selective compound to COX-1. This molecular design approach provides a blueprint for natural product-inspired hit and lead identification for drug discovery with machine intelligence.

SUBMITTER: Friedrich L

PROVIDER: S-EPMC8373093 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase-1 Inhibitors by Automated De Novo Design.

Friedrich Lukas L Cingolani Gino G Ko Ying-Hui YH Iaselli Mariaclara M Miciaccia Morena M Perrone Maria Grazia MG Neukirch Konstantin K Bobinger Veronika V Merk Daniel D Hofstetter Robert Klaus RK Werz Oliver O Koeberle Andreas A Scilimati Antonio A Schneider Gisbert G

Advanced science (Weinheim, Baden-Wurttemberg, Germany) 20210627 16

The repertoire of natural products offers tremendous opportunities for chemical biology and drug discovery. Natural product-inspired synthetic molecules represent an ecologically and economically sustainable alternative to the direct utilization of natural products. De novo design with machine intelligence bridges the gap between the worlds of bioactive natural products and synthetic molecules. On employing the compound Marinopyrrole A from marine Streptomyces as a design template, the algorithm ...[more]

PMID: 34176236

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Project description:The major advances in molecular and structural biology and automated peptide and DNA synthesis of the 1970s and 1980s generated fertile conditions in the 1990s for the exploration of designed proteins as a new approach for inorganic chemists to generate biomolecular mimics of metalloproteins. This Account follows the development of the TRI peptide family of three-stranded coiled coils (3SCC) and α3D family of three-helix bundles (3HB) as scaffolds for the preparation of metal binding sites within de novo designed constructs. The 3SCC were developed using the concept of a heptad repeat (abcdefg) putting hydrophobes in the a and d positions. The TRI peptides contain four heptads with capping glycines. Via substitution of leucine hydrophobes, metal ligands can be introduced into the a or d sites in order to bind metals. First, the ability to use cysteine-substituted 3SCC aggregates to impose higher or lower coordination numbers on Hg(II) and Cd(II) or matching the coordination preferences of As(III) and Pb(II) is discussed. Then, methods to develop dual site peptides capable of discriminating metals based on their type (e.g., Cd(II) vs Pb(II)), their preference for a vs d sites, and then their coordination number is described. Once these principles of metal site differentiation are described, we shift to building dual site peptides using both cysteine and histidine metal binding sites. This approach provides a construct with both a Hg(II) structural and a Zn(II) hydrolytic center, the latter of which is capable of hydrating CO2. With these Zn(II) proteins, we consider the relative importance of the location of the catalytic center along the primary sequence of the peptide and show that only minor perturbations in catalytic efficiencies are observed based on metal location. We then assess the feasibility of preparing enzymes competent to reduce nitrite with copper centers in a histidine-rich environment. As part of this discussion, we examine the influence of surface residues on catalyst reduction potentials and catalytic efficiencies. We end describing approaches to prepare asymmetric proteins that can incorporate acid-base catalysts or water channels. In this respect, we highlight modifications of a helix-turn-helix-turn-helix motif called α3D and show how this 3HB can be modified to bind heavy metals or to make Zn(II) centers, which are active hydrolytic catalysts. A comparison is made to the comparable parallel 3SCC.

Dataset Information

Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase-1 Inhibitors by Automated De Novo Design.

Publications

Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase-1 Inhibitors by Automated De Novo Design.

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