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      Gating mechanism of elongating β-ketoacyl-ACP synthases

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          Abstract

          Carbon-carbon bond forming reactions are essential transformations in natural product biosynthesis. During de novo fatty acid and polyketide biosynthesis, β-ketoacyl-acyl carrier protein (ACP) synthases (KS), catalyze this process via a decarboxylative Claisen-like condensation reaction. KSs must recognize multiple chemically distinct ACPs and choreograph a ping-pong mechanism, often in an iterative fashion. Here, we report crystal structures of substrate mimetic bearing ACPs in complex with the elongating KSs from Escherichia coli, FabF and FabB, in order to better understand the stereochemical features governing substrate discrimination by KSs. Complemented by molecular dynamics (MD) simulations and mutagenesis studies, these structures reveal conformational states accessed during KS catalysis. These data taken together support a gating mechanism that regulates acyl-ACP binding and substrate delivery to the KS active site. Two active site loops undergo large conformational excursions during this dynamic gating mechanism and are likely evolutionarily conserved features in elongating KSs.

          Abstract

          The formation of C-C bonds in fatty acid and polyketide biosynthesis depends on β-ketoacyl-acyl carrier protein (ACP) synthases (KSs). Here, the authors present structures of E.coli KSs bound to substrate mimetic bearing ACPs, providing insights into the catalytic mechanism underlying C-C bond forming reactions.

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          Most cited references61

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          H++ 3.0: automating pK prediction and the preparation of biomolecular structures for atomistic molecular modeling and simulations

          The accuracy of atomistic biomolecular modeling and simulation studies depend on the accuracy of the input structures. Preparing these structures for an atomistic modeling task, such as molecular dynamics (MD) simulation, can involve the use of a variety of different tools for: correcting errors, adding missing atoms, filling valences with hydrogens, predicting pK values for titratable amino acids, assigning predefined partial charges and radii to all atoms, and generating force field parameter/topology files for MD. Identifying, installing and effectively using the appropriate tools for each of these tasks can be difficult for novice and time-consuming for experienced users. H++ (http://biophysics.cs.vt.edu/) is a free open-source web server that automates the above key steps in the preparation of biomolecular structures for molecular modeling and simulations. H++ also performs extensive error and consistency checking, providing error/warning messages together with the suggested corrections. In addition to numerous minor improvements, the latest version of H++ includes several new capabilities and options: fix erroneous (flipped) side chain conformations for HIS, GLN and ASN, include a ligand in the input structure, process nucleic acid structures and generate a solvent box with specified number of common ions for explicit solvent MD.
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            H++: a server for estimating pKas and adding missing hydrogens to macromolecules

            The structure and function of macromolecules depend critically on the ionization (protonation) states of their acidic and basic groups. A number of existing practical methods predict protonation equilibrium pK constants of macromolecules based upon their atomic resolution Protein Data Bank (PDB) structures; the calculations are often performed within the framework of the continuum electrostatics model. Unfortunately, these methodologies are complex, involve multiple steps and require considerable investment of effort. Our web server provides access to a tool that automates this process, allowing both experts and novices to quickly obtain estimates of pKs as well as other related characteristics of biomolecules such as isoelectric points, titration curves and energies of protonation microstates. Protons are added to the input structure according to the calculated ionization states of its titratable groups at the user-specified pH; the output is in the PQR (PDB + charges + radii) format. In addition, corresponding coordinate and topology files are generated in the format supported by the molecular modeling package AMBER. The server is intended for a broad community of biochemists, molecular modelers, structural biologists and drug designers; it can also be used as an educational tool in biochemistry courses.
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              Polyketide biosynthesis: a millennium review.

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                Author and article information

                Contributors
                noel@salk.edu
                mburkart@ucsd.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                7 April 2020
                7 April 2020
                2020
                : 11
                : 1727
                Affiliations
                [1 ]Department of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0358 USA
                [2 ]ISNI 0000 0001 0662 7144, GRID grid.250671.7, Jack H. Skirball Center for Chemical Biology and Proteomics, Salk Institute for Biological Studies, ; La Jolla, CA 92037 USA
                [3 ]Department of Pharmacology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
                [4 ]ISNI 0000 0001 0662 7144, GRID grid.250671.7, Howard Hughes Medical Institute, Salk Institute for Biological Studies, ; La Jolla, CA 92037 USA
                Author information
                http://orcid.org/0000-0001-5629-7075
                http://orcid.org/0000-0002-9143-7392
                http://orcid.org/0000-0002-1277-0331
                http://orcid.org/0000-0002-4472-2254
                Article
                15455
                10.1038/s41467-020-15455-x
                7138838
                32265440
                98e1936d-d8ab-4395-a4b8-431efd288028
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 May 2019
                : 6 March 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000057, U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS);
                Award ID: GM095970
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                enzyme mechanisms,fatty acids,multienzyme complexes,x-ray crystallography
                Uncategorized
                enzyme mechanisms, fatty acids, multienzyme complexes, x-ray crystallography

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