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      Design, synthesis, and characterization of protein origami based on self-assembly of a brick and staple artificial protein pair

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          Significance

          Spontaneous building of bio-inspired organization with both accurate morphologies and well-defined functions is still highly challenging. We illustrate a versatile approach to control assemblies of complementary “staple” and “brick” proteins into supramolecular accurate architectures by characterizing de novo superhelixcrystals. For this purpose, we exploit the highly selective binding surfaces of repeat proteins to generate robust close contacts. We design the brick protein with a semi-lock washer shape by splitting and appending the sequence of the partner protein to its terminal modules. Equimolar mixture results in sequential growth generating long tubular superhelices. This strategy paves the way to chimeric proteins able to organize functions on designed structures by origami processes.

          Abstract

          A versatile strategy to create an inducible protein assembly with predefined geometry is demonstrated. The assembly is triggered by a binding protein that staples two identical protein bricks together in a predictable spatial conformation. The brick and staple proteins are designed for mutual directional affinity and engineered by directed evolution from a synthetic modular repeat protein library. As a proof of concept, this article reports on the spontaneous, extremely fast and quantitative self-assembly of two designed alpha-repeat (αRep) brick and staple proteins into macroscopic tubular superhelices at room temperature. Small-angle X-ray scattering (SAXS) and transmission electron microscopy (TEM with staining agent and cryoTEM) elucidate the resulting superhelical arrangement that precisely matches the a priori intended 3D assembly. The highly ordered, macroscopic biomolecular construction sustains temperatures as high as 75 °C thanks to the robust αRep building blocks. Since the α-helices of the brick and staple proteins are highly programmable, their design allows encoding the geometry and chemical surfaces of the final supramolecular protein architecture. This work opens routes toward the design and fabrication of multiscale protein origami with arbitrarily programmed shapes and chemical functions.

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          MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy

          MotionCor2 software corrects for beam-induced sample motion, improving the resolution of cryo-EM reconstructions.
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            Computer visualization of three-dimensional image data using IMOD.

            We have developed a computer software package, IMOD, as a tool for analyzing and viewing three-dimensional biological image data. IMOD is useful for studying and modeling data from tomographic, serial section, and optical section reconstructions. The software allows image data to be visualized by several different methods. Models of the image data can be visualized by volume or contour surface rendering and can yield quantitative information.
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              Improvements to the APBS biomolecular solvation software suite.

              The Adaptive Poisson-Boltzmann Solver (APBS) software was developed to solve the equations of continuum electrostatics for large biomolecular assemblages that have provided impact in the study of a broad range of chemical, biological, and biomedical applications. APBS addresses the three key technology challenges for understanding solvation and electrostatics in biomedical applications: accurate and efficient models for biomolecular solvation and electrostatics, robust and scalable software for applying those theories to biomolecular systems, and mechanisms for sharing and analyzing biomolecular electrostatics data in the scientific community. To address new research applications and advancing computational capabilities, we have continually updated APBS and its suite of accompanying software since its release in 2001. In this article, we discuss the models and capabilities that have recently been implemented within the APBS software package including a Poisson-Boltzmann analytical and a semi-analytical solver, an optimized boundary element solver, a geometry-based geometric flow solvation model, a graph theory-based algorithm for determining pKavalues, and an improved web-based visualization tool for viewing electrostatics.
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                Author and article information

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                9 March 2023
                14 March 2023
                9 September 2023
                : 120
                : 11
                : e2218428120
                Affiliations
                [1] aCentre d’Elaboration des Matériaux et d’Etudes Structurales, CNRS UPR8011 F-31055, Toulouse, France
                [2] bCEA, CNRS, Institute for Integrative Biology of the Cell, Université Paris-Saclay 91198, Gif-sur-Yvette, France
                [3] cDepartment of Chemistry, Emory University , Atlanta, GA 30322
                [4] dMicroscopie Electronique Intégrative Toulouse, Centre de Biologie Intégrative, Université de Toulouse, CNRS , 31062, Toulouse, France
                [5] eInstitut de Physique de Rennes, CNRS, UMR6251, Université de Rennes 1 F-35042, Rennes, France
                [6] fLaboratoire Interdisciplinaire Carnot de Bourgogne, CNRS, UMR6303, Université de Bourgogne Franche-Comté 21000, Dijon, France
                Author notes
                2To whom correspondence may be addressed. Email: erik.dujardin@ 123456cnrs.fr or philippe.minard@ 123456i2bc.paris-saclay.fr .

                Edited by William DeGrado, University of California San Francisco, San Francisco, CA; received October 28, 2022; accepted February 3, 2023

                1L.M. and S.V. contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-4092-5983
                https://orcid.org/0000-0001-7791-5928
                https://orcid.org/0000-0002-6077-859X
                https://orcid.org/0000-0003-2770-7439
                https://orcid.org/0000-0002-7601-6397
                https://orcid.org/0000-0002-1562-6802
                https://orcid.org/0000-0002-5613-576X
                https://orcid.org/0000-0001-7242-9250
                https://orcid.org/0000-0002-3256-528X
                Article
                202218428
                10.1073/pnas.2218428120
                10089216
                36893280
                66790d53-6db4-4513-9083-938c60871907
                Copyright © 2023 the Author(s). Published by PNAS.

                This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 28 October 2022
                : 03 February 2023
                Page count
                Pages: 11, Words: 7153
                Funding
                Funded by: Agence Nationale de la Recherche (ANR), FundRef 501100001665;
                Award ID: ANR-14-CE08-0004-ARTEMIS
                Award Recipient : Laureen Moreaud Award Recipient : Sébastien Viollet Award Recipient : Agathe Urvoas Award Recipient : Marie Valerio-Lepiniec Award Recipient : Agnès Mesneau Award Recipient : Stephanie Balor Award Recipient : Vanessa Soldan Award Recipient : Cristelle Meriadec Award Recipient : Franck Artzner Award Recipient : Erik Dujardin Award Recipient : Philippe Minard
                Funded by: Agence Nationale de la Recherche (ANR), FundRef 501100001665;
                Award ID: ANR-16CE09-0027-HYBNAP
                Award Recipient : Laureen Moreaud Award Recipient : Sébastien Viollet Award Recipient : Agathe Urvoas Award Recipient : Marie Valerio-Lepiniec Award Recipient : Agnès Mesneau Award Recipient : Stephanie Balor Award Recipient : Vanessa Soldan Award Recipient : Cristelle Meriadec Award Recipient : Franck Artzner Award Recipient : Erik Dujardin Award Recipient : Philippe Minard
                Funded by: Agence Nationale de la Recherche (ANR), FundRef 501100001665;
                Award ID: ANR-18-CE44-0013-Scaffold-Art
                Award Recipient : Laureen Moreaud Award Recipient : Sébastien Viollet Award Recipient : Agathe Urvoas Award Recipient : Marie Valerio-Lepiniec Award Recipient : Agnès Mesneau Award Recipient : Stephanie Balor Award Recipient : Vanessa Soldan Award Recipient : Cristelle Meriadec Award Recipient : Franck Artzner Award Recipient : Erik Dujardin Award Recipient : Philippe Minard
                Funded by: Agence Nationale de la Recherche (ANR), FundRef 501100001665;
                Award ID: ANR-21-CE09-0045-ProteOrigami
                Award Recipient : Laureen Moreaud Award Recipient : Sébastien Viollet Award Recipient : Agathe Urvoas Award Recipient : Marie Valerio-Lepiniec Award Recipient : Agnès Mesneau Award Recipient : Stephanie Balor Award Recipient : Vanessa Soldan Award Recipient : Cristelle Meriadec Award Recipient : Franck Artzner Award Recipient : Erik Dujardin Award Recipient : Philippe Minard
                Funded by: Office of science and technology, French Embassy in the United States;
                Award ID: Chateaubriand Fellowship
                Award Recipient : Jessalyn Miller
                Funded by: French Infrastructure for Integrated Structural Biology (FRISBI), FundRef 501100011658;
                Award ID: ANR-10-INBS-05
                Award Recipient : Sébastien Viollet Award Recipient : Agathe Urvoas Award Recipient : Marie Valerio-Lepiniec Award Recipient : Agnès Mesneau Award Recipient : Malika Ouldali Award Recipient : Philippe Minard
                Categories
                video, Video
                research-article, Research Article
                biophys-bio, Biophysics and Computational Biology
                408
                Biological Sciences
                Biophysics and Computational Biology

                repeat proteins,protein origami,supramolecular assembly,directed evolution

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