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Drug Discovery: Design, Synthesis and Activity Evaluation

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pharmacology".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 2876

Special Issue Editors


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Guest Editor
LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: heterocyclic compounds

E-Mail Website
Guest Editor
LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: organic chemistry; green synthetic organic chemistry; synthesis of heterocyclic compounds; natural products; NMR techniques; synthesis of new compounds with biocidal and antioxidant activities
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue “Drug Discovery: Design, Synthesis and Activity Evaluation” aims at publishing studies within the medicinal chemistry field. In particular, it intends to cover the early stage of preclinical research in the drug discovery pipeline, including target identification and validation; hit discovery; assay development and screening; high-throughput screening; hit to lead; lead optimization; in vivo, in vitro and ex vivo assays; absorption, distribution, metabolism, and excretion (ADME); and drug delivery. Moreover, it welcomes not only original research papers, but also comprehensive reviews.

The original research papers should comprise the design (with or without computational support), organic synthesis, characterization, and biological activity evaluation of novel potent lead compounds, considering small to large biologically active molecules.

Dr. Joana L. C. Sousa
Prof. Dr. Artur M. S. Silva
Guest Editors

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • drug design
  • organic synthesis
  • biological activity evaluation
  • biologically active compounds
  • diagnostic/therapeutic agents
  • labeled ligands
  • structure–activity relationships (SARs)
  • structural biological studies
  • computational studies
  • pharmacokinetics/pharmacodynamics
  • drug delivery

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Published Papers (3 papers)

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Research

Jump to: Review

29 pages, 5961 KiB  
Article
Synthesis of Ethyl Pyrimidine-Quinolincarboxylates Selected from Virtual Screening as Enhanced Lactate Dehydrogenase (LDH) Inhibitors
by Iván Díaz, Sofía Salido, Manuel Nogueras and Justo Cobo
Int. J. Mol. Sci. 2024, 25(17), 9744; https://doi.org/10.3390/ijms25179744 - 9 Sep 2024
Viewed by 763
Abstract
The inhibition of the hLDHA (human lactate dehydrogenase A) enzyme has been demonstrated to be of great importance in the treatment of cancer and other diseases, such as primary hyperoxalurias. In that regard, we have designed, using virtual docking screening, a novel family [...] Read more.
The inhibition of the hLDHA (human lactate dehydrogenase A) enzyme has been demonstrated to be of great importance in the treatment of cancer and other diseases, such as primary hyperoxalurias. In that regard, we have designed, using virtual docking screening, a novel family of ethyl pyrimidine-quinolinecarboxylate derivatives (1318)(ad) as enhanced hLDHA inhibitors. These inhibitors were synthesised through a convergent pathway by coupling the key ethyl 2-aminophenylquinoline-4-carboxylate scaffolds (712), which were prepared by Pfitzinger synthesis followed by a further esterification, to the different 4-aryl-2-chloropyrimidines (VIII(ad)) under microwave irradiation at 150–170 °C in a green solvent. The values obtained from the hLDHA inhibition were in line with the preliminary of the preliminary docking results, the most potent ones being those with U-shaped disposition. Thirteen of them showed IC50 values lower than 5 μM, and for four of them (16a, 18b, 18c and 18d), IC50 ≈ 1 μM. Additionally, all compounds with IC50 < 10 μM were also tested against the hLDHB isoenzyme, resulting in three of them (15c, 15d and 16d) being selective to the A isoform, with their hLDHB IC50 > 100 μM, and the other thirteen behaving as double inhibitors. Full article
(This article belongs to the Special Issue Drug Discovery: Design, Synthesis and Activity Evaluation)
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Figure 1

Figure 1
<p>Examples of some reported double hLDHA and hLDHB, hLDHA selective, and hLDHB selective inhibitors with their corresponding IC<sub>50</sub> values.</p>
Full article ">Figure 2
<p>Overview of the previous pyrimidine-quinolones and current optimized ethyl pyrimidine-quinoline carboxylates.</p>
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<p>Structural combination of the novel pyrimidine-quinoline hybrids for virtual screening selection.</p>
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<p>Selected ethyl pyrimidine-quinolinecarboxylates for their synthesis.</p>
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<p>Molecular structure of compound <b>16d</b>, showing intramolecular hydrogen bonding.</p>
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<p>Comparison of the poses of esters <b>13b</b> (yellow), <b>14b</b> (pink), <b>15b</b> (blue), and reference <b>W31</b> (black) in the hLDHA active site. The molecular surface around receptor atoms in the enzyme pocket has been represented in grey with green and red colors showing lipophilic and hydrophilic sites, respectively. Main amino acid residues have been labelled in yellow.</p>
Full article ">Figure 7
<p>(<b>a</b>) Placement of compound <b>18c</b> (yellow) and reference <b>W31</b> (black) in the hLDHA active site. The molecular surface around receptor atoms in the enzyme pocket is represented in grey with green and red colors indicating lipophilic and hydrophilic sites, respectively. Main amino acid residues have been labelled in yellow. (<b>b</b>) 2D diagram of the ligand-protein interaction of compound <b>18c</b> in the hLDHA active site.</p>
Full article ">Figure 8
<p>2D diagram of the ligand-protein interaction of compounds <b>15b</b> (<b>a</b>), <b>16c</b> (<b>b</b>), <b>17c</b> (<b>c</b>), and <b>18a</b> (<b>d</b>) in the hLDHA active site. The hLDHA pocket has been represented with a grey dashed line.</p>
Full article ">Figure 9
<p>Superposition of hLDHA <b>4R68</b> complex (ligand: <b>W31</b>, light red) and hLDHB <b>1I0Z</b> complex (ligand: <b>OXM</b>, cyan). Arg<sup>106</sup> residue of <b>1I0Z</b> is labelled in purple. Arg<sup>105</sup> residue of <b>4R68</b> is labelled blue. The other <b>4R68</b> and <b>1I0Z</b> amino acid residues have been labelled in red and cyan, respectively.</p>
Full article ">Figure 10
<p>(<b>a</b>) Placement of hybrids <b>15c</b> (red), <b>15d</b> (blue), and <b>16d</b> (green) in the allosteric <b>H1U</b> site between chains A-C in <b>1I0Z</b>. Amino acid chains have been represented with white sticks save for Glu<sup>214</sup> and Lys<sup>310</sup>, which are represented in orange and have been labelled. (<b>b</b>) Placement of hybrids <b>15a</b> (black) and <b>16a</b> (yellow). Amino acid chains have been represented in orange (chain A) and blue (chain C). Amino acid residues of Glu<sup>214</sup> and Lys<sup>310</sup> have been labelled.</p>
Full article ">Scheme 1
<p>Synthesis of aminophenylquinolin-4-carboxylic acids <b>1</b>–<b>6</b> as intermediates to pyrimidine-quinoline hybrids.</p>
Full article ">Scheme 2
<p>Aminolysis reaction attempt to get pyrimidine-quinoline hybrid <b>A</b> by reaction of amino-phenylquinolin-4-carboxylic acid <b>1</b> and <b>VIIIa</b>.</p>
Full article ">Scheme 3
<p>Esterification of aminophenylquinolin-4-carboxylic acids <b>1</b>–<b>6</b> to obtain the corresponding ethyl esters <b>7</b>–<b>12</b>.</p>
Full article ">Scheme 4
<p>Synthesis of pyrimidine-quinoline hybrids (<b>13</b>–<b>15</b>)<b>a</b> by aminolysis of <b>7</b>–<b>9</b> and <b>VIIIa</b>.</p>
Full article ">Scheme 5
<p>General synthetic pathway to obtain the desired ethyl pyrimidine-quinolincarboxylates (<b>13</b>–<b>18</b>)(<b>a</b>–<b>d</b>) from isatins <b>I</b>–<b>IV</b>.</p>
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15 pages, 4622 KiB  
Article
Computational Design of Novel Cyclic Peptides Endowed with Autophagy-Inhibiting Activity on Cancer Cell Lines
by Marco Albani, Enrico Mario Alessandro Fassi, Roberta Manuela Moretti, Mariangela Garofalo, Marina Montagnani Marelli, Gabriella Roda, Jacopo Sgrignani, Andrea Cavalli and Giovanni Grazioso
Int. J. Mol. Sci. 2024, 25(9), 4622; https://doi.org/10.3390/ijms25094622 - 24 Apr 2024
Viewed by 1267
Abstract
(1) Autophagy plays a significant role in development and cell proliferation. This process is mainly accomplished by the LC3 protein, which, after maturation, builds the nascent autophagosomes. The inhibition of LC3 maturation results in the interference of autophagy activation. (2) In this study, [...] Read more.
(1) Autophagy plays a significant role in development and cell proliferation. This process is mainly accomplished by the LC3 protein, which, after maturation, builds the nascent autophagosomes. The inhibition of LC3 maturation results in the interference of autophagy activation. (2) In this study, starting from the structure of a known LC3B binder (LIR2-RavZ peptide), we identified new LC3B ligands by applying an in silico drug design strategy. The most promising peptides were synthesized, biophysically assayed, and biologically evaluated to ascertain their potential antiproliferative activity on five humans cell lines. (3) A cyclic peptide (named Pep6), endowed with high conformational stability (due to the presence of a disulfide bridge), displayed a Kd value on LC3B in the nanomolar range. Assays accomplished on PC3, MCF-7, and A549 cancer cell lines proved that Pep6 exhibited cytotoxic effects comparable to those of the peptide LIR2-RavZ, a reference LC3B ligand. Furthermore, it was ineffective on both normal prostatic epithelium PNT2 and autophagy-defective prostate cancer DU145 cells. (4) Pep6 can be considered a new autophagy inhibitor that can be employed as a pharmacological tool or even as a template for the rational design of new small molecules endowed with autophagy inhibitory activity. Full article
(This article belongs to the Special Issue Drug Discovery: Design, Synthesis and Activity Evaluation)
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Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>(<b>A</b>) LIR2-RavZ Cα atom RMSF plot (orange line). (<b>B</b>) Predicted binding mode of LIR2-RavZ (orange sticks) in complex with LC3B resulting at the end of MD simulations. The protein surface is colored depending on the atomic partial charges of the protein residues: blue for positive and red for negative charges, respectively. The H-bonds are represented as yellow dotted lines.</p>
Full article ">Figure 2
<p>(<b>A</b>) Pep3 Cα atom RMSF plot (pink line) compared to LIR2-RavZ (orange line). Asterisks indicate the residues involved in the disulfide bond. (<b>B</b>) Predicted binding mode of Pep3 (pink sticks) in complex with LC3B resulting at the end of MD simulations. The protein surface is colored depending on the atomic partial charges of the protein residues: blue for positive and red for negative charges, respectively. The H-bonds are represented as yellow dotted lines.</p>
Full article ">Figure 3
<p>(<b>A</b>) Effect of Pep3 on PC3 cell viability. Cell viability was determined using MTT assay after 24 h, 48 h, and 72 h. Six independent biological samples for each condition were analyzed (<span class="html-italic">n</span> = 6). Statistical analysis was performed using one-way ANOVA followed by Dunnett’s test (* <span class="html-italic">p</span> &lt; 0.05 vs. CTRL; *** <span class="html-italic">p</span> &lt; 0.001 vs. CTRL). (<b>B</b>) Western blot analysis of the LC3-II/LC3-I ratio in the PC3 cells treated with Pep3 (5 µM) or 3-methyladenine (3-MA) (1 mM).</p>
Full article ">Figure 4
<p>(<b>A</b>) Pep6 Cα atom RMSF plot (red line) compared to LIR2-RavZ (orange line) and Pep3 (pink line). Asterisks indicate the residues involved in the disulfide bond. The D-amino acids of the Pep6 sequence are reported as lowercase letters. (<b>B</b>) Predicted binding mode of Pep6 (magenta sticks) in complex with LC3B resulting at the end of MD simulations. The protein surface is colored depending on the atomic partial charges of the protein residues: blue for positive and red for negative charges, respectively. The H-bonds are represented as yellow dotted lines.</p>
Full article ">Figure 5
<p>(<b>A</b>) Effect of LIR2-RavZ and Pep6 on PC3 cell viability. Cell viability was determined using MTT assay after 72 h. Six independent biological samples for each condition were analyzed (<span class="html-italic">n</span> = 6). Statistical analysis was performed using one-way ANOVA followed by Dunnett’s test (** <span class="html-italic">p</span> &lt; 0.01 vs. CTRL; *** <span class="html-italic">p</span> &lt; 0.001 vs. CTRL). (<b>B</b>) Effect of LIR2-RavZ and Pep6 on DU145 cell viability. Cell viability was determined using MTT assay after 72 h. Six independent biological samples for each condition were analyzed (<span class="html-italic">n</span> = 6). Statistical analysis was performed using one-way ANOVA followed by Dunnett’s test. (<b>C</b>) Western blot analysis of LC3-II/LC3-I ratio and p62 in PC3 cells treated with LIR2-RavZ and Pep6. The relative optical density of LC3-I/tubulin, LC3-II/tubulin, and p62/tubulin was quantified using ImageJ software. The bar graph represents the mean ± SD calculated from three independent experiments. Statistical analysis was performed using one-way ANOVA followed by Dunnett’s post-test (*** <span class="html-italic">p</span> &lt; 0.001 vs. CTRL). (<b>D</b>) Western blot analysis of LC3-II/LC3-I ratio in PC3 cells treated with Pep6 (5 µM) and trehalose (100 mM) for 48 h. The relative optical density of LC3-II/LC3-I was quantified using ImageJ software (version 1.50i). The bar graph represents the mean ± SD calculated from three independent experiments. Statistical analysis was performed using one-way ANOVA followed by Bonferroni’s post test (* <span class="html-italic">p</span> &lt; 0.05 vs. CTRL).</p>
Full article ">Figure 6
<p>Effect of LIR2-RavZ and Pep6 on cell viability. Cell viability was determined using MTS assay on PNT2 (<b>A</b>), A549 (<b>B</b>), and MCF-7 (<b>C</b>) 96 h post-treatment. Absorbance was measured with a 96-well plate spectrophotometer (Varioskan Flash Multimode Reader) at 490 nm (* <span class="html-italic">p</span> &lt; 0.05 vs. CTRL; ** <span class="html-italic">p</span> &lt; 0.01 vs. CTRL).</p>
Full article ">Figure 7
<p>MST curves acquired using human recombinant His-tagged LC3B protein incubated with different concentrations of the control peptide LIR2-RavZ (<b>A</b>) and Pep6 (<b>B</b>), using the Monolith NT.115<sup>Pico</sup> instrument. Two independent experiments were performed to compute the K<sub>d</sub> curve.</p>
Full article ">

Review

Jump to: Research

16 pages, 1626 KiB  
Review
Comparison of Orthogonal Determination Methods of Acid/Base Constants with Meta-Analysis
by Tamás Pálla, Károly Mazák, Dania Mohammed Alkhazragee, György Tibor Balogh, Béla Noszál and Arash Mirzahosseini
Int. J. Mol. Sci. 2024, 25(23), 12727; https://doi.org/10.3390/ijms252312727 - 27 Nov 2024
Viewed by 244
Abstract
The accurate determination of acid/base constants (proton dissociation constants—pKa, or equivalently protonation constants—logK) is essential for the physicochemical characterization of new molecules, especially in drug design and development, as these parameters thoroughly influence the pharmacokinetics and pharmacodynamics of [...] Read more.
The accurate determination of acid/base constants (proton dissociation constants—pKa, or equivalently protonation constants—logK) is essential for the physicochemical characterization of new molecules, especially in drug design and development, as these parameters thoroughly influence the pharmacokinetics and pharmacodynamics of drug action. While pH/potentiometric titration remains the gold standard method for determining acid/base constants, spectroscopic techniques—particularly nuclear magnetic resonance spectroscopy (as NMR/pH titrations)—have emerged as powerful alternatives for specific challenges in analytical chemistry, providing also information on the structure and site of protonation. In this study, we performed a comprehensive meta-analysis of protonation constants reported in the literature, measured using both potentiometry and NMR titrations. Our analysis compiled the available literature data and assessed the agreement between the two methods, taking into consideration various experimental conditions, such as temperature and ionic strength. The results provide insights into the reliability and applicability of NMR titrations compared with potentiometry, offering guidance for selecting appropriate methodologies in drug design. Full article
(This article belongs to the Special Issue Drug Discovery: Design, Synthesis and Activity Evaluation)
Show Figures

Figure 1

Figure 1
<p>Pairs plot of selected variables. Note that methods ‘1’ and ‘2’ are used to denote ‘NMR’ and ‘Pot,’ respectively.</p>
Full article ">Figure 2
<p><b>Left</b>: the smoothed frequency histogram of p<span class="html-italic">K</span><sub>a</sub> values depicted for the acid/base/amphoteric moieties, with a multimodal empirical distribution. <b>Right</b>: the density histogram of the standard error of p<span class="html-italic">K</span><sub>a</sub> values is an exponential empirical distribution; the exponential theoretical distribution calculated from the mean (red line) and standard deviation (green line) of the error values, respectively, are also shown.</p>
Full article ">Figure 3
<p>The Bland–Altman plot of p<span class="html-italic">K</span><sub>a</sub> values determined with the two methods: potentiometry and NMR; on the y-axis, the difference: NMR-determined values minus potentiometry-determined values. The outlier p<span class="html-italic">K</span><sub>a</sub> values are identified with text labels (compound and protonation step). The 95% limits of agreement are at dashed lines, while the 95% confidence interval of the bias is depicted with shaded areas. Bounds of scientifically important differences are shown with solid blue lines.</p>
Full article ">Figure 4
<p>The Bland–Altman plot of p<span class="html-italic">K</span><sub>a</sub> values with outliers removed. On the top, values from overlapping protonation are shown with red circles; two successive protonation steps were considered overlapping if their difference was below 2 p<span class="html-italic">K</span><sub>a</sub> units. The bias and 95% limits of agreement of the entire dataset are shown in red for reference, together with the bounds of scientifically important differences with solid blue lines. On the bottom left, values from the acidic/basic/amphoteric moieties are shown in color together with their bias and 95% limits of agreement. On the bottom right, values of the two pH measurement techniques during NMR titrations are shown in color together with their bias and 95% limits of agreement. The bias and 95% limits of agreement of the entire dataset are shown in red for reference.</p>
Full article ">Figure 5
<p>Left: the density histogram of p<span class="html-italic">K</span><sub>a</sub> difference values from the trimmed data of <a href="#ijms-25-12727-f004" class="html-fig">Figure 4</a>, together with the theoretical normal distribution of the same mean and variance in red. Right: the Q-Q plot of p<span class="html-italic">K</span><sub>a</sub> difference values from the trimmed data.</p>
Full article ">Figure 6
<p>Diagnostic figure of the original mixed-effects model (<b>left</b>) and the extended mixed-effects model (<b>right</b>).</p>
Full article ">Figure 7
<p>On the left: the atom frequency in the compounds of the dataset. On the right: the multi-dimensional scaling plot of the compounds after clustering using the Tanimoto distances.</p>
Full article ">Figure 8
<p>On the <b>left</b>, three representative NMR titration curves with simulated low, medium, and high pK<sub>a</sub> values; the simulated value is depicted as the ’real’ value, and after modeling the measurement uncertainties inherent to both methods, the fitted values and their difference are also depicted. On the <b>right</b>, a simulation of 300 pK<sub>a</sub> values from a uniform distribution afforded a Bland–Altman plot, in which the bias trend vs. pK<sub>a</sub> can be observed.</p>
Full article ">
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