Influence of damping on the excitation of the double giant resonance

We study the effect of the spreading widths on the excitation probabilities of the double giant dipole resonance. We solve the coupled-channels equations for the excitation of the giant dipole resonance and the double giant dipole resonance. Taking Pb+Pb collisions as example, we study the resulting effect on the excitation amplitudes, and cross sections as a function of the width of the states and of the bombarding energy.Comment: 8 pages, 3 figures, corrected typo

A multi-detector array for high energy nuclear e+e- pair spectrosocopy

A multi-detector array has been constructed for the simultaneous measurement of energy- and angular correlation of electron-positron pairs produced in internal pair conversion (IPC) of nuclear transitions up to 18 MeV. The response functions of the individual detectors have been measured with mono-energetic beams of electrons. Experimental results obtained with 1.6 MeV protons on targets containing $^{11}$B and $^{19}$F show clear IPC over a wide angular range. A comparison with GEANT simulations demonstrates that angular correlations of $e^+e^-$ pairs of transitions in the energy range between 6 and 18 MeV can be determined with sufficient resolution and efficiency to search for deviations from IPC due to the creation and subsequent decay into $e^+e^-$ of a hypothetical short-lived neutral boson.Comment: 20 pages, 8 figure

In silico prediction of human serum albumin binding for drug leads

Introduction: Binding of drugs to human serum albumin (HSA) strongly influences their pharmacokinetic behavior and is associated with drug safety issues, low clearance, low brain penetration, as well as drug-drug interactions. Thus, in silico prediction of HSA binding contributes significantly to the discovery of new drug candidates. Areas covered: The authors provide a short overview on the principles of HSA binding and the crystal structure of HSA, as well as discussing and analyzing the recent structure- and ligand-based HSA binding models. The authors also present the advantages and limitations of each methodology to construct efficient local or global models and outline the critical structural features contributing to HSA. Expert opinion: The in silico estimation of drug binding to HSA in early drug discovery contributes to the lead optimization process. Local models are useful for the design of new compounds with reduced HSA binding for a particular target receptor, while real-time quantitative structure-activity relationships or global models combining structure- and ligand-based approaches serve for compound libraries screening. However, research efforts on other important plasma proteins should be strengthened in the perspective to enable predictions of total plasma protein binding for clinical candidates. © Informa UK, Ltd

Novel carbamοyloxy analogues of tamoxifen: Synthesis, molecular docking and bioactivity evaluation

Background: Tamoxifen (TAM), a non-steroidal antiestrogen, constitutes the endocrine treatment of choice against breast cancer. Since its inauguration, substantial effort has been devoted towards the design and synthesis of TAM’s analogues aiming to improve its bioactivity and reveal their structure-activity relationship. Objective: One of the most studied synthetic features of TAM’s structure is the ether side chain, which is strongly related to its positioning into the active site of the Estrogen Receptors (ERα and ERβ). Herein, we present the application of a straightforward route for the efficient synthesis of selected novel carbamoyloxy analogues of TAM and the evaluation of their respective binding affinities to the Estrogen Receptors α and β. Methods: A one-pot reaction was applied for the construction of TAM’s triarylethylene core moiety, which subsequently was derivatized to provide efficiently the target carbamoyloxy analogues of TAM. The Z and E isomers of the latter were separated using RP-HPLC-UV and their binding affinities to ERα and ERβ were measured. Results: Among all compounds synthesized, the dimethyl derivative was determined as the most potent for both receptors, displaying binding affinity values comparable to TAM, though the Z-diethyl analogue maintained substantial affinity to both ERs. The aforementioned results were further studied by theoretical calculations and molecular modelling to delineate a concordance among calculations and biological activity. Conclusion: Approach applied herein permitted the extraction of a useful structure-activity relationship correlation pattern highlighting the importance of a chemically stabilized tamoxifen side chain. © 2021 Bentham Science Publishers

Identification of the substrate recognition and transport pathway in a eukaryotic member of the nucleobase-ascorbate transporter (NAT) family

Using the crystal structure of the uracil transporter UraA of Escherichia coli, we constructed a 3D model of the Aspergillus nidulans uric acid-xanthine/H+ symporter UapA, which is a prototype member of the Nucleobase-Ascorbate Transporter (NAT) family. The model consists of 14 transmembrane segments (TMSs) divided into a core and a gate domain, the later being distinctly different from that of UraA. By implementing Molecular Mechanics (MM) simulations and quantitative structure-activity relationship (SAR) approaches, we propose a model for the xanthine-UapA complex where the substrate binding site is formed by the polar side chains of residues E356 (TMS8) and Q408 (TMS10) and the backbones of A407 (TMS10) and F155 (TMS3). In addition, our model shows several polar interactions between TMS1-TMS10, TMS1-TMS3, TMS8-TMS10, which seem critical for UapA transport activity. Using extensive docking calculations we identify a cytoplasm-facing substrate trajectory (D360, A363, G411, T416, R417, V463 and A469) connecting the proposed substrate binding site with the cytoplasm, as well as, a possible outward-facing gate leading towards the substrate major binding site. Most importantly, re-evaluation of the plethora of available and analysis of a number of herein constructed UapA mutations strongly supports the UapA structural model. Furthermore, modeling and docking approaches with mammalian NAT homologues provided a molecular rationale on how specificity in this family of carriers might be determined, and further support the importance of selectivity gates acting independently from the major central substrate binding site. © 2012 Kosti et al