Los receptores para el reconocimiento de patrones moleculares: aportaciones de la química computacional para el diseño de fármacos y la modulación de la inmunidad innata

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Farmacia, Departamento de Química Orgánica y Farmacéutica, leída el 18/11/2019In this Thesis we have aimed the study of the molecular recognition processes of receptors involved in the innate immunity. More concretely, we have focused in two different types of lectins, Galectins and DC-SIGN, and in Toll-like receptor 4. We have made use of computational techniques, including docking and virtual screening, molecular dynamics simulations, conformational analysis and quantum mechanics calculations. The work has been organized into several chapters that are summarized as follows: Chapter 1 corresponds to the current knowledge and perspectives about receptors related to immunity, in particular: galectins, DC-SIGN, and Toll-like receptor 4, corresponding to the molecular recognition events and modulation by small molecules. Chapter 2 describes the state-of-the-art methods in molecular modeling and computational chemistry applied to the study of molecular recognition processes and drug design...En esta tesis hemos estudiado los procesos reconocimiento molecular de receptores involucrados en la inmunidad innata. Más concretamente, nos hemos centrado en dos tipos diferentes de lectinas, Galectinas y DC-SIGN, y en el receptor Toll-like 4 (TLR4). Hemos utilizado técnicas computacionales, incluyendo docking y cribado virtual, simulaciones de dinámica molecular, análisis conformacional y cálculos de mecánica cuántica. El trabajo se ha organizado en diferentes capítulos que se resumen como sigue: El capítulo 1 corresponde al estado del arte y las perspectivas relacionadas con los estudios de reconocimiento molecular proteína-carbohidrato y diseño de nuevos moduladores con actividad biológica en receptores de la inmunidad, en particular galectinas, DC-SIGN y el receptor Toll-like 4. El capítulo 2 describe el estado actual de los métodos en modelado molecular y química computacional aplicados al estudio de los procesos de reconocimiento molecular y diseño de fármacos...Fac. de FarmaciaTRUEunpu

Unveiling Molecular Recognition of Sialoglycans by Human Siglec-10

29 p.-6 fig.-2 tab.-7 fig. supl.-2 tab. supl.-1 graph. abst.Siglec-10 is an inhibitory I-type lectin selectively recognizing sialoglycans exposed on cell surfaces, involved in several patho-physiological processes. The key role Siglec-10 plays in the regulation of immune cell functions has made it a potential target for the development of immunotherapeutics against a broad range of diseases. However, the crystal structure of the protein has not been resolved for the time being and the atomic description of Siglec-10 interactions with complex glycans has not been previously unraveled. We present here the first insights of the molecular mechanisms regulating the interaction between Siglec-10 and naturally occurring sialoglycans. We used combined spectroscopic, computational and biophysical approaches to dissect glycans' epitope mapping and conformation upon binding in order to afford a description of the 3D complexes. Our outcomes provide a structural perspective for the rational design and development of high-affinity ligands to control the receptor functionality.This study was supported by the project ‘‘GLYTUNES’’ funded by MIUR Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN 2017) (2017XZ2ZBK, 2019–2022) to A.S.; by progetto POR SATIN and Progetto POR CampaniaOncoterapia to A.M.; by the European Commission (H2020-MSCA- 814102-SWEET CROSSTALK project) to A.M., R.M., and A.S.. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under grant agreement No 851356 to R.M. FSE,PON Ricerca e Innovazione 2014–2020, Azione I.1 ‘‘Dottorati Innovativi con caratterizzazione Industriale’’ is acknowledged for funding the PhD grant to R.E.F. Grants by the Spanish Ministry of Science MICINN (CTQ2017-88353-R and fellowship BES 2015–071588 to J.G.-C.) and Wellcome Trust 103744/Z/14/Z to P.R.C. are acknowledged.Peer reviewe

Full-atom model of the agonist LPS-bound toll-like receptor 4 dimer in a membrane environment

21 p.-14 fig. In Memoriam Prof. Kilian Muñiz (R.I.P.). Excellent person, great heart.The innate immunity TLR4/MD-2 system is a membrane receptor of paramount importance as therapeutic target. Its assembly, upon binding of Gram-negative bacteria lipopolysaccharide (LPS), and also dependent on the membrane composition, finally triggers the immune response cascade. We here combine ab-initio calculations, molecular docking, all-atom molecular dynamics simulations, and thermodynamics calculations to provide the most realistic and complete 3D models of the active full TLR4 complex embedded into a realistic membrane to date. Our studies reveal functional and structural insights into the transmembrane domain behavior in different membrane environments, the ectodomain bouncing movement, and the dimerization patterns of the intracellular TIR domain. Our work provides TLR4 models as reasonable 3D structures for the (TLR4/MD-2/LPS) 2 architecture accounting for the active (agonist) state of the TLR4, and pointing to a signal transduction mechanism across cell membrane. These observations unveil relevant molecular aspects involved in the TLR4 innate immune pathways and will promote the discovery of new TLR4 modulators.This work was financially supported by the Spanish Ministry for Science and Innovation (grants CTQ2014-57141-R, CTQ2017-88353-R, and PID2020-113588RB-I00; grants BES-2012-053653 for L.P.R., BES-2015-071588 for J.G.C. and PRE2018-086249 for A.M.R.), and the European Commission Marie Sklodowska-Curie actions (H2020-MSCA-ITN 642157 “TOLLerant”).Peer reviewe