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      Cross-Linking Effects Dictate the Preference of Galectins to Bind LacNAc-Decorated HPMA Copolymers

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          Abstract

          The interaction of multi-LacNAc (Galβ1-4GlcNAc)-containing N-(2-hydroxypropyl) methacrylamide (HPMA) copolymers with human galectin-1 (Gal-1) and the carbohydrate recognition domain (CRD) of human galectin-3 (Gal-3) was analyzed using NMR methods in addition to cryo-electron-microscopy and dynamic light scattering (DLS) experiments. The interaction with individual LacNAc-containing components of the polymer was studied for comparison purposes. For Gal-3 CRD, the NMR data suggest a canonical interaction of the individual small-molecule bi- and trivalent ligands with the lectin binding site and better affinity for the trivalent arrangement due to statistical effects. For the glycopolymers, the interaction was stronger, although no evidence for forming a large supramolecule was obtained. In contrast, for Gal-1, the results indicate the formation of large cross-linked supramolecules in the presence of multivalent LacNAc entities for both the individual building blocks and the polymers. Interestingly, the bivalent and trivalent presentation of LacNAc in the polymer did not produce such an increase, indicating that the multivalency provided by the polymer is sufficient for triggering an efficient binding between the glycopolymer and Gal-1. This hypothesis was further demonstrated by electron microscopy and DLS methods.

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          Targeted Drug Delivery with Polymers and Magnetic Nanoparticles: Covalent and Noncovalent Approaches, Release Control, and Clinical Studies.

          Targeted delivery combined with controlled drug release has a pivotal role in the future of personalized medicine. This review covers the principles, advantages, and drawbacks of passive and active targeting based on various polymer and magnetic iron oxide nanoparticle carriers with drug attached by both covalent and noncovalent pathways. Attention is devoted to the tailored conjugation of targeting ligands (e.g., enzymes, antibodies, peptides) to drug carrier systems. Similarly, the approaches toward controlled drug release are discussed. Various polymer-drug conjugates based, for example, on polyethylene glycol (PEG), N-(2-hydroxypropyl)methacrylamide (HPMA), polymeric micelles, and nanoparticle carriers are explored with respect to absorption, distribution, metabolism, and excretion (ADME scheme) of administrated drug. Design and structure of superparamagnetic iron oxide nanoparticles (SPION) and condensed magnetic clusters are classified according to the mechanism of noncovalent drug loading involving hydrophobic and electrostatic interactions, coordination chemistry, and encapsulation in porous materials. Principles of covalent conjugation of drugs with SPIONs including thermo- and pH-degradable bonds, amide linkage, redox-cleavable bonds, and enzymatically-cleavable bonds are also thoroughly described. Finally, results of clinical trials obtained with polymeric and magnetic carriers are analyzed highlighting the potential advantages and future directions in targeted anticancer therapy.
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            Using chemical shift perturbation to characterise ligand binding.

            Chemical shift perturbation (CSP, chemical shift mapping or complexation-induced changes in chemical shift, CIS) follows changes in the chemical shifts of a protein when a ligand is added, and uses these to determine the location of the binding site, the affinity of the ligand, and/or possibly the structure of the complex. A key factor in determining the appearance of spectra during a titration is the exchange rate between free and bound, or more specifically the off-rate koff. When koff is greater than the chemical shift difference between free and bound, which typically equates to an affinity Kd weaker than about 3μM, then exchange is fast on the chemical shift timescale. Under these circumstances, the observed shift is the population-weighted average of free and bound, which allows Kd to be determined from measurement of peak positions, provided the measurements are made appropriately. (1)H shifts are influenced to a large extent by through-space interactions, whereas (13)Cα and (13)Cβ shifts are influenced more by through-bond effects. (15)N and (13)C' shifts are influenced both by through-bond and by through-space (hydrogen bonding) interactions. For determining the location of a bound ligand on the basis of shift change, the most appropriate method is therefore usually to measure (15)N HSQC spectra, calculate the geometrical distance moved by the peak, weighting (15)N shifts by a factor of about 0.14 compared to (1)H shifts, and select those residues for which the weighted shift change is larger than the standard deviation of the shift for all residues. Other methods are discussed, in particular the measurement of (13)CH3 signals. Slow to intermediate exchange rates lead to line broadening, and make Kd values very difficult to obtain. There is no good way to distinguish changes in chemical shift due to direct binding of the ligand from changes in chemical shift due to allosteric change. Ligand binding at multiple sites can often be characterised, by simultaneous fitting of many measured shift changes, or more simply by adding substoichiometric amounts of ligand. The chemical shift changes can be used as restraints for docking ligand onto protein. By use of quantitative calculations of ligand-induced chemical shift changes, it is becoming possible to determine not just the position but also the orientation of ligands. Copyright © 2013 Elsevier B.V. All rights reserved.
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              NMR spectroscopy techniques for screening and identifying ligand binding to protein receptors.

              Binding events of ligands to receptors are the key for an understanding of biological processes. Gaining insight into protein-protein and protein-ligand interactions in solution has recently become possible on an atomic level by new NMR spectroscopic techniques. These experiments identify binding events either by looking at the resonance signals of the ligand or the protein. Ideally, both techniques together deliver a complete picture of ligand binding to a receptor. The approaches discussed in this review allow screening of compound libraries as well as a detailed identification of the groups involved in the binding events. Also, characterization of the binding strength and kinetics is possible, competitive binding as well as allosteric effects can be identified, and it has even been possible to identify ligand binding to intact viruses and membrane-bound proteins.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                01 June 2021
                June 2021
                : 22
                : 11
                : 6000
                Affiliations
                [1 ]CIC bioGUNE, Basque Research and Technology Alliance, BRTA, Bizkaia Technology Park, 48162 Derio, Bizkaia, Spain; sbertuzzi@ 123456cicbiogune.es (S.B.); a.m.gimenocardells@ 123456uu.nl (A.G.); amcastillo@ 123456cicbiogune.es (A.M.-C.); mgutierrez@ 123456cicbiogune.es (M.G.L.); sdelgado@ 123456cicbiogune.es (S.D.); nabrescia@ 123456cicbiogune.es (N.G.A.A.); aarda@ 123456cicbiogune.es (A.A.)
                [2 ]BioOrgNMR Lab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy; cristina.airoldi@ 123456unimib.it
                [3 ]Institute of Macromolecular Chemistry of the Czech Academy of Sciences, Heyrovského Nám. 2, 16206 Prague, Czech Republic; tavares@ 123456imc.cas.cz (M.R.T.); mblahova@ 123456imc.cas.cz (M.B.); chytil@ 123456imc.cas.cz (P.C.)
                [4 ]Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, 14220 Prague, Czech Republic; kren@ 123456biomed.cas.cz
                [5 ]Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Bizkaia, Spain
                [6 ]Department of Health Care Disciplines and Population Protection, Faculty of Biomedical Engineering, Czech Technical University in Prague, Nám. Sítná, 27201 Kladno, Czech Republic
                [7 ]Department of Organic Chemistry II, University of the Basque Country UPV/EHU, 48940 Leioa, Bizkaia, Spain
                Author notes
                Author information
                https://orcid.org/0000-0002-4242-7067
                https://orcid.org/0000-0001-9668-2605
                https://orcid.org/0000-0002-3670-6262
                https://orcid.org/0000-0002-8099-4820
                https://orcid.org/0000-0002-6141-4309
                https://orcid.org/0000-0002-7135-9796
                https://orcid.org/0000-0002-1091-4020
                https://orcid.org/0000-0003-3027-7417
                https://orcid.org/0000-0001-7069-0973
                https://orcid.org/0000-0001-5421-8513
                Article
                ijms-22-06000
                10.3390/ijms22116000
                8199549
                34206141
                9908f2bc-9d3f-4144-ae27-d50b70553265
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 14 May 2021
                : 29 May 2021
                Categories
                Article

                Molecular biology
                galectin,multivalency,glycomimetic,molecular recognition,hpma copolymer,inhibition,glycopolymer

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