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      De novo design of protein minibinder agonists of TLR3

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          Abstract

          Toll-like Receptor 3 (TLR3) is a pattern recognition receptor that initiates antiviral immune responses upon binding double-stranded RNA (dsRNA). Several nucleic acid-based TLR3 agonists have been explored clinically as vaccine adjuvants in cancer and infectious disease, but present substantial manufacturing and formulation challenges. Here, we use computational protein design to create novel miniproteins that bind to human TLR3 with nanomolar affinities. Cryo-EM structures of two minibinders in complex with TLR3 reveal that they bind the target as designed, although one partially unfolds due to steric competition with a nearby N-linked glycan. Multimeric forms of both minibinders induce NF-κB signaling in TLR3-expressing cell lines, demonstrating that they may have therapeutically relevant biological activity. Our work provides a foundation for the development of specific, stable, and easy-to-formulate protein-based agonists of TLRs and other pattern recognition receptors.

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          cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination

          A software tool, cryoSPARC, addresses the speed bottleneck in cryo-EM image processing, enabling automated macromolecular structure determination in hours on a desktop computer without requiring a starting model.
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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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              CTFFIND4: Fast and accurate defocus estimation from electron micrographs.

              CTFFIND is a widely-used program for the estimation of objective lens defocus parameters from transmission electron micrographs. Defocus parameters are estimated by fitting a model of the microscope's contrast transfer function (CTF) to an image's amplitude spectrum. Here we describe modifications to the algorithm which make it significantly faster and more suitable for use with images collected using modern technologies such as dose fractionation and phase plates. We show that this new version preserves the accuracy of the original algorithm while allowing for higher throughput. We also describe a measure of the quality of the fit as a function of spatial frequency and suggest this can be used to define the highest resolution at which CTF oscillations were successfully modeled.
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                18 April 2024
                : 2024.04.17.589973
                Affiliations
                [1 ]Institute for Protein Design, University of Washington, Seattle, WA, 98195 USA
                [2 ]Department of Biochemistry, University of Washington, Seattle, WA, 98195 USA
                [3 ]Center for Biomolecular & Cellular Structure, Institute for Basic Science (IBS), Daejeon 34126, South Korea
                [4 ]Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea
                Author notes

                Author Contributions

                C.S.A. and B.C. designed minibinders. C.S.A. and C.C. performed computational analysis of designs. C.S.A. and A.E.B. screened designs and carried out biochemical characterization. C.S.A. and C.D. performed cell-based assays. H.K., D.S.L., and H.M.K. designed and carried out electron microscopy experiments. N.P.K. and H.M.K. supervised research. C.S.A., H.K., H.M.K., and N.P.K. wrote the paper.

                [* ]Correspondence to Ho Min Kim and Neil P. King. hm_kim@ 123456kaist.ac.kr , neilking@ 123456uw.edu
                Author information
                http://orcid.org/0009-0006-4164-1949
                http://orcid.org/0000-0002-2401-2044
                http://orcid.org/0000-0002-9385-6136
                http://orcid.org/0009-0003-8660-6571
                http://orcid.org/0009-0006-2853-3847
                http://orcid.org/0000-0002-6910-6255
                http://orcid.org/0000-0003-0029-3643
                http://orcid.org/0000-0002-2978-4692
                Article
                10.1101/2024.04.17.589973
                11042314
                38659926
                ed7852bd-4750-463e-a18b-362fd05f1219

                This work is licensed under a Creative Commons Attribution 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.

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