Design Of Inhibitors Research Articles

Discovery of glycosidated glycyrrhetinic acid derivatives: Natural product-based soluble epoxide hydrolase inhibitors

There are few reports on soluble epoxide hydrolase (sEH) structure-activity relationship studies using natural product-based scaffolds. In this study, we discovered that C-30 urea derivatives of glycyrrhetinic acid such as 33, rather than C-20/C-3 urea derivatives, possess in vitro sEH inhibitory capabilities. Furthermore, we explored the impact of stereoconfigurations at C-3 and C-18 positions, and glycosidic bonds at the 3-OH on the compound's activity. Consequently, a glycoside of 33, specifically 49Cα containing alpha-oriented mannose, exhibited promising in vivo efficacy in alleviating carrageenan-induced paw edema and acetic acid-induced writhing. Meanwhile, 49Cα demonstrated potential in mitigating acute pancreatitis by modulating the ratios of anti-inflammatory epoxyeicosatrienoic acids (EETs) to pro-inflammatory dihydroxyeicosatrienoic acids (DHETs). The co-crystal structure of sEH in complex with 49Cα revealed that the N-tetrahydropyranylmethylene urea hydrogen bonded with the residues within the sEH tunnel, contrasting with the mannose component that extended beyond the tunnel's confines. Our findings highlight 49Cα (coded LQ-38) as a promising candidate for anti-inflammatory and analgesic effects, and pave the way for the future rational design of triterpenoid-based sEH inhibitors.

Inhibition of HCN1 currents by norquetiapine, an active metabolite of the atypical anti-psychotic drug quetiapine.

Quetiapine is a second-generation atypical antipsychotic drug that has been commonly prescribed for the treatment of schizophrenia, major depressive disorder (depression), and other psychological disorders. Targeted inhibition of hyperpolarization-activated cyclic-nucleotide gated (HCN) channels, which generate Ih, may provide effective resistance against schizophrenia and depression. We investigated if HCN channels could contribute to the therapeutic effect of quetiapine, and its major active metabolite norquetiapine. Two-electrode voltage clamp recordings were used to assess the effects of quetiapine and its active metabolites 7-hydroxyquetiapine and norquetiapine on currents from HCN1 channels expressed in Xenopus laevis oocytes. Norquetiapine, but not quetiapine nor 7-hydroxyquetiapine, has an inhibitory effect on HCN1 channels. Norquetiapine selectively inhibited HCN1 currents by shifting the voltage-dependence of activation to more hyperpolarized potentials in a concentration-dependent manner with an IC50 of 13.9 ± 0.8μM for HCN1 and slowing channel opening, without changing the kinetics of closing. Inhibition by norquetiapine primarily occurs from in the closed state. Norquetiapine inhibition is not sensitive to the external potassium concentration, and therefore, likely does not block the pore. Norquetiapine inhibition also does not dependent on the cyclic-nucleotide binding domain. Norquetiapine also inhibited HCN4 channels with reduced efficacy than HCN1 and had no effect on HCN2 channels. Therefore, HCN channels are key targets of norquetiapine, the primary active metabolite of quetiapine. These data help to explain the therapeutic mechanisms by which quetiapine aids in the treatment of anxiety, major depressive disorder, bipolar disorder, and schizophrenia, and may represent a novel structure for future drug design of HCN inhibitors.

Rational design, synthesis, and biophysical characterization of a peptidic MDM2-MDM4 interaction inhibitor

In recent years, the restoration of p53 physiological functions has become an attractive therapeutic approach to develop novel and efficacious cancer therapies. Among other mechanisms, the oncosuppressor protein p53 is functionally regulated by MDM2 through its E3 ligase function. MDM2 promotes p53 ubiquitination and degradation following homodimerization or heterodimerization with MDM4. Recently, we discovered Pep3 (1, Pellegrino et al., 2015), a novel peptidic inhibitor of MDM2 dimerization able to restore p53 oncosuppressive functions both in vitro and in vivo. In this work, we were able to identify the key interactions between peptide 1 and MDM2 RING domain and to design peptide 2, a truncated version of 1 that is still able to bind MDM2. Integrating both computational and biophysical techniques, we show that peptide 2 maintains the conserved peptide 1-MDM2 interactions and is still able to bind to full-length MDM2.

Design and Synthesis of Benzimidazole Carboxamide Cysteine Protease Inhibitors as Promising Anti-leishmanial Agents.

More than 20 protozoan species of Leishmania are responsible for causing Leishmaniasis, an infection spread by blood-feeding phlebotomine sandflies. A narrow pool of drugs is currently available rendering the current drug stratagem to treat this infection . Development of novel, less toxic, and more effective regimens is thus a need of the hour. Design and synthesis of benzo[d]imidazole carboxamides as agents to combat Leishmaniasis are also required. 14 benzo[d]imidazole carboxamides were synthesized and gauged against L. donovani promastigotes and intramacrophage amastigote forms. All of the tested compounds exhibited significant anti-promastigote properties with IC50 well below 10 uM. Compounds 4a, 4b, and 4d, showing the highest anti-parasitic activity against promastigote forms (IC50 0.91- 1.33 μM), were also found to be associated with better anti-leishmanial potential (IC50 0.78- 1.67 μM) against the intramacrophage amastigotes comparable to Amphotericin-B (0.13 μM), a drug used for Leishmaniasis. Compound (4a), namely N-(2-(trifluoromethyl)-1Hbenzo[ d]imidazol-5-yl)benzo[d][1,3]-5-carboxamide-dioxole, was found to be most potent against L. donovani amastigotes among all the tested compounds, and demonstrated better antileishmanial properties (IC50 0.78 μM) when compared to the standard. Compound 4a was also assessed for its toxicity profile against THP-1 human monocytic cells. To establish the molecular target(s) in silico, molecular docking studies were performed against cysteine protease, a putative virulence factor of Leishmania parasites, and nucleoside diphosphate kinase, an enzyme with a critical role in nucleotide recycling, also associated with resistance in Leishmania strains. Compound 4a showed better binding affinity than the standard to these targets; furthermore, the molecular dynamic simulation studies further affirmed the stability of compound 4a, within the active site of the targets. In vitro, cysteine protease inhibitory activity (IC50 8.53 μM) using Bz-Arg-AMC hydrochloride fluorogenic peptide substrate established the promising potential of 4a as a cysteine protease inhibitor. Computational ADMET analysis indicated appropriate pharmacokinetic profile and physicochemical characteristics for all members of the synthesized library. Both in vitro and in silico studies indicate that the synthesized imidazole carboxamides can act as potent hits and that N-(2-(trifluoromethyl)-1H-benzo[d]imidazol-5- yl)benzo[d][1,3]-5-carboxamide-dioxole 4a can be an effective hit molecule which can be further developed into potent lead molecule (s) to fight Leishmania donovani.

How ATP and dATP Act as Molecular Switches to Regulate Enzymatic Activity in the Prototypical Bacterial Class Ia Ribonucleotide Reductase.

Class Ia ribonucleotide reductases (RNRs) are allosterically regulated by ATP and dATP to maintain the appropriate deoxyribonucleotide levels inside the cell for DNA biosynthesis and repair. RNR activity requires precise positioning of the β2 and α2 subunits for the transfer of a catalytically essential radical species. Excess dATP inhibits RNR through the creation of an α-β interface that restricts the ability of β2 to obtain a position that is capable of radical transfer. ATP breaks the α-β interface, freeing β2 and restoring enzyme activity. Here, we investigate the molecular basis for allosteric activity regulation in the well-studied Escherichia coli class Ia RNR through the determination of six crystal structures and accompanying biochemical and mutagenesis studies. We find that when dATP is bound to the N-terminal regulatory cone domain in α, a helix unwinds, creating a binding surface for β. When ATP displaces dATP, the helix rewinds, dismantling the α-β interface. This reversal of enzyme inhibition requires that two ATP molecules are bound in the cone domain: one in the canonical nucleotide-binding site (site 1) and one in a site (site 2) that is blocked by phenylalanine-87 and tryptophan-28 unless ATP is bound in site 1. When ATP binds to site 1, histidine-59 rearranges, prompting the movement of phenylalanine-87 and trytophan-28, and creating site 2. dATP hydrogen bonds to histidine-59, preventing its movement. The importance of site 2 in the restoration of RNR activity by ATP is confirmed by mutagenesis. These findings have implications for the design of bacterial RNR inhibitors.

Design, synthesis, and pharmacological characterization of sulfonylurea-based NLRP3 inhibitors: Towards an effective therapeutic strategy for Alzheimer's disease

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that severely diminishes the quality of life for millions. The NLRP3 inflammasome, a critical mediator of inflammation, has emerged as a promising therapeutic target for AD. In this study, we report the development and optimization of a novel series of sulfonylurea-based NLRP3 inhibitors, with a focus on compound MC1 for the treatment of AD. Utilizing the co-crystal structure of MCC950 in complex with NLRP3 as a guide, we employed a hybrid approach of computer-aided drug design and traditional medicinal chemistry to perform two iterative optimization cycles. This strategy led to the synthesis and evaluation of 40 sulfonylurea derivatives, culminating in the identification of MC1 as the lead candidate. MC1 exhibited enhanced NLRP3 inhibitory activity and demonstrated high binding affinity to NLRP3, effectively blocking NLRP3 activation induced by diverse stimuli such as ATP and Nigericin, without perturbing upstream processes like reactive oxygen species (ROS) generation. In vivo experiments in AD mouse models revealed that MC1 significantly ameliorated cognitive deficits, surpassing the performance of MCC950. Importantly, MC1 showed no signs of hepatotoxicity or adverse effects on the central nervous system. These findings suggest that MC1 holds strong potential as a lead compound for further development in AD therapy, providing a new scaffold for NLRP3 inhibition with improved safety and efficacy profiles.

Exploring the binding mode of phenyl and vinyl boronic acids to human carbonic anhydrases

Boronic acids are an interesting but still poorly studied class of carbonic anhydrase inhibitors. Previous investigations proved that derivatives incorporating aromatic, arylalkyl, and arylalkenyl moieties are low micromolar to millimolar inhibitors for several α- and β-CAs involved in pathologic states.Here we report a high-resolution X-ray study on two classes of boronic acids (phenyl and vinyl) in complex with hCA II. Our results unambiguously clarify the binding mode of these molecules to the human carbonic anhydrase active site, which occurs through their tetrahedral anionic form, regardless of the nature of the organic scaffold. Data here presented contribute to the understanding of the inhibition mechanism of boronic acids that can be fruitfully used for the rational design of novel and effective isozyme-specific carbonic anhydrase inhibitors.

Towards novel small-molecule inhibitors blocking PD-1/PD-L1 pathway: From explainable machine learning models to molecular dynamics simulation

Molecular design of small-molecule inhibitors targeting programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) pathway has been recognized as an active research area by the clinical success of cancer immunotherapy. In recent years, using machine learning (ML) methods to accelerate drug design have been confirmed. However, the black box character of ML methods makes model interpretation and ligands optimization obscured. Herein, five explainable ML models were constructed by integrating five ML models with the SHAP method, where these ML models were pretrained with >4000 molecules and their R2 ranged from 0.835 to 0.86 on test set. Subsequently, the explainable ML models were employed to identify the relationship between fragments and bio-activity of a small molecule inhibitor BMS-1166, leading to the modification of BMS-1166 into 60 novel compounds. After consensus docking and ADMET test, 3 small molecules (C27, C52 and C54) with better docking scores and lower toxicity than BMS-1166 were screened out further. Finally, the improved binding affinity of C27, C52 to the PD-L1 dimer was validated by the MD simulation. Overall, this work proposed an efficient protocol on the basis of explainable ML models for designing small-molecule inhibitors targeting PD-1/PD-L1 pathway in a rational way.

Novel Synthesized Benzophenone Thiazole Hybrids Exhibited ExVivo and In Silico Anti-Inflammatory Activity.

Novel benzophenone-thiazole hybrids with different substituents were synthesized and evaluated for anti-inflammatory activity using an exvivo human whole-blood assay. All hybrids (3c and 5a-h) showed significant anti-inflammatory activity via prostaglandin E2 (PGE2) release inhibition. Moreover, 5c (82.8% of PGE2 inhibition), 5e (83.1% of PGE2 inhibition), and 5h (82.1% of PGE2 inhibition) were comparable to the reference drugs. Molecular docking revealed potential preferable binding to the active sites of cyclooxygenase 2 (COX-2) and microsomal prostaglandin E synthase-1 (mPGES-1) enzymes. This study provides the first evidence that benzophenone-thiazole hybrids may also dock in mPGES-1, a new attractive anti-inflammatory drug target, besides providing promising exvivo anti-inflammatory activity. Thus, the novel hybrids are promising anti-inflammatory lead compounds and highlight the significance of optimal substituent selection in the design of potent PGE2 inhibitors.

How does the integration of amino acids enhance the bonding ability of triazine-based inhibitors with iron surfaces: Insights from SCC-DFTB, COSMO-RS and molecular dynamics simulations

Theoretical investigations into the adsorption of molecules on metal surfaces play a pivotal role in the development of more efficient corrosion inhibitors. This study offers a novel approach by combining Density Functional Tight Binding (DFTB), Molecular Dynamics (MD) simulations, and conductor-like screening model for realistic solvation (COSMO-RS) calculations to comprehensively assess the interaction and diffusion properties of glycine (Gly), 2,2′-azanediyldiacetic acid (IDA), and 5-aminopentanoic acid (5-APA) with two 1,3,5-triazine (Tris) derivatives (Tris-Gly and Tris-IDA) for corrosion protection of carbon steel in acidic medium. The solvation properties of these molecules were evaluated alongside their interaction strength with the Fe(1 1 0) surface, considering both neutral and protonated forms. DFTB simulations revealed a clear trend in interaction energies, following the order: Tris-IDA > Tris-Gly > 5-APA > IDA > Gly. It ranges from −1.191 eV to −1.853 eV, with the highest stability observed for protonated Tris-IDA (−1.853 eV), while neutral Glycine exhibits the lowest interaction energy (−1.263 eV). While these theoretical results diverged slightly from experimental observations, with Tris-Gly outperforming Tris-IDA, this discrepancy was attributed to steric effects and solvent interactions. The DFTB results also indicated strong covalent interactions, particularly involving acetic groups, between the inhibitors’ orbitals and the iron’s 3d orbitals. MD simulations further demonstrated the impact of protonation on inhibitor mobility, with reduced diffusion coefficients due to enhanced electrostatic interactions and hydrogen bonding. COSMO-RS solvation analysis confirmed the strong hydrogen bonding capabilities of these molecules with water. Overall, this study elucidates the mechanisms of corrosion inhibition by integrating multiple simulation techniques, providing key molecular insights that can guide the design of more effective corrosion inhibitors. The findings emphasize the significance of electronic interactions and molecular structure in enhancing inhibitor performance, making this a valuable contribution to corrosion science.

Utilization of an optimized AlphaFold protein model for structure-based design of a selective HDAC11 inhibitor with anti-neuroblastoma activity.

AlphaFold is an artificial intelligence approach for predicting the three-dimensional (3D) structures of proteins with atomic accuracy. One challenge that limits the use of AlphaFold models for drug discovery is the correct prediction of folding in the absence of ligands and cofactors, which compromises their direct use. We have previously described the optimization and use of the histone deacetylase 11 (HDAC11) AlphaFold model for the docking of selective inhibitors such as FT895 and SIS17. Based on the predicted binding mode of FT895 in the optimized HDAC11 AlphaFold model, a new scaffold for HDAC11 inhibitors was designed, and the resulting compounds were tested in vitro against various HDAC isoforms. Compound 5a proved to be the most active compound with an IC50 of 365 nM and was able to selectively inhibit HDAC11. Furthermore, docking of 5a showed a binding mode comparable to FT895 but could not adopt any reasonable poses in other HDAC isoforms. We further supported the docking results with molecular dynamics simulations that confirmed the predicted binding mode. 5a also showed promising activity with an EC50 of 3.6 µM on neuroblastoma cells.

Substrate selectivity and inhibition of the human lysyl hydroxylase JMJD7.

Jumonji-C (JmjC) domain-containing protein 7 (JMJD7) is a human Fe(II) and 2-oxoglutarate dependent oxygenase that catalyzes stereospecific C3-hydroxylation of lysyl-residues in developmentally regulated GTP binding proteins 1 and 2 (DRG1/2). We report studies exploring a diverse set of lysine derivatives incorporated into the DRG1 peptides as potential human JMJD7 substrates and inhibitors. The results indicate that human JMJD7 has a relatively narrow substrate scope beyond lysine compared to some other JmjC hydroxylases and lysine-modifying enzymes. The geometrically constrained (E)-dehydrolysine is an efficient alternative to lysine for JMJD7-catalyzed C3-hydroxylation. γ-Thialysine and γ-azalysine undergo C3-hydroxylation, followed by degradation to formylglycine. JMJD7 also catalyzes the S-oxidation of DRG1-derived peptides possessing methionine and homomethionine residues in place of lysine. Inhibition assays show that DRG1 variants possessing cysteine/selenocysteine instead of the lysine residue efficiently inhibit JMJD7 via cross-linking. The overall results inform on the substrate selectivity and inhibition of human JMJD7, which will help enable the rational design of selective small-molecule and peptidomimetic inhibitors of JMJD7.

Molecular Docking and Molecular Dynamics Simulations of the Urease Inhibitory Activity of 2,3‐Dihydroxybenzohydrazide Derivatives

AbstractThis investigation focuses on a suite of 2,3‐dihydroxybenzoyl hydrazine derivative ligands, examining their viability as urease activity inhibitors and delving into their operative mechanisms. Utilizing molecular docking approaches, the binding patterns and interactive loci of 2,3‐dihydroxybenzoyl hydrazine derivatives with urease were elucidated. The origin of the binding forces between the ligands and urease, along with pertinent descriptors, were scrutinized through an amalgamation of density functional theory calculations and molecular dynamics simulations. The findings indicate that the HOMO‐LUMO energy gap, the dipole moment, and the electrostatic potential serve as robust descriptors of the inhibitory activity exhibited by 2,3‐dihydroxybenzoyl hydrazine derivative ligands against urease. The ligand designated BH‐k emerged as the most efficacious urease inhibitor, with critical hydrogen bonds forming between it and the residues His409, Ala636, and Asp633, in addition to hydrophobic interactions with Arg439. The design of ligands capable of establishing additional hydrogen bonds constitutes an effective strategy to amplify inhibitory efficacy. The results of this research aspire to lay a theoretical foundation for the advancement of novel urease inhibitor designs to counteract health issues emanating from aberrant urease activity.

Capturing Autoinhibited PDK1 Reveals the Linker's Regulatory Role, Informing Innovative Inhibitor Design.

PDK1 is crucial for PI3K/AKT/mTOR and Ras/MAPK cancer signaling. It phosphorylates AKT in a PIP3-dependent but S6K, SGK, and RSK kinases in a PIP3-independent manner. Unlike its substrates, its autoinhibited monomeric state has been unclear, likely due to its low population time, and phosphorylation in the absence of PIP3 has been puzzling too. Here, guided by experimental data, we constructed models and performed all-atom molecular dynamics simulations. In the autoinhibited PDK1 conformation that resembles autoinhibited AKT, binding of the linker between the kinase and PH domains to the PIF-binding pocket promotes the formation of the Glu130-Lys111 salt bridge and weakens the association of the kinase domain with the PH domain, shifting the population from the autoinhibited state to states accessible to the membrane and its kinase substrates. The interaction of the substrates' hydrophobic motif and the PDK1 PIF-binding pocket facilitates the release of the autoinhibition even in the absence of PIP3. Phosphorylation of the serine-rich motif within the linker further attenuates the association of the PH domain with the kinase domain. These suggest that while the monomeric autoinhibited state is relatively stable, it can readily shift to its active, catalysis-prone state to phosphorylate its diverse substrates. Our findings reveal the PDK1 activation mechanism and discover the regulatory role of PDK1's linker, which lead to two innovative linker-based inhibitor strategies: (i) locking the autoinhibited PDK1 through optimization of the interactions of AKT inhibitors with the PH domain of PDK1 and (ii) analogs (small molecules or peptidomimetics) that mimic the linker interactions with the PIF-binding pocket.

Opportunities for Riboswitch Inhibition by Targeting Co-Transcriptional RNA Folding Events

Antibiotic resistance is a critical global health concern, causing millions of prolonged bacterial infections every year and straining our healthcare systems. Novel antibiotic strategies are essential to combating this health crisis and bacterial non-coding RNAs are promising targets for new antibiotics. In particular, a class of bacterial non-coding RNAs called riboswitches has attracted significant interest as antibiotic targets. Riboswitches reside in the 5′-untranslated region of an mRNA transcript and tune gene expression levels in cis by binding to a small-molecule ligand. Riboswitches often control expression of essential genes for bacterial survival, making riboswitch inhibitors an exciting prospect for new antibacterials. Synthetic ligand mimics have predominated the search for new riboswitch inhibitors, which are designed based on static structures of a riboswitch’s ligand-sensing aptamer domain or identified by screening a small-molecule library. However, many small-molecule inhibitors that bind an isolated riboswitch aptamer domain with high affinity in vitro lack potency in vivo. Importantly, riboswitches fold and respond to the ligand during active transcription in vivo. This co-transcriptional folding is often not considered during inhibitor design, and may explain the discrepancy between a low Kd in vitro and poor inhibition in vivo. In this review, we cover advances in riboswitch co-transcriptional folding and illustrate how intermediate structures can be targeted by antisense oligonucleotides—an exciting new strategy for riboswitch inhibitor design.

Determination of Potential Lead Compound from Magnolia officinalis for Alzheimer’s Disease through Pharmacokinetic Prediction, Molecular Docking, Dynamic Simulation, and Experimental Validation

Amyloid β protein (Aβ) deposition has been implicated as the molecular driver of Alzheimer’s disease (AD) progression. The modulation of the formation of abnormal aggregates and their post-translational modification is strongly suggested as the most effective approach to anti-AD. Beta-site APP-cleaving enzyme 1 (BACE1) acts upstream in amyloidogenic processing to generate Aβ, which rapidly aggregates alone or in combination with acetylcholinesterase (AChE) to form fibrils. Accumulated Aβ promotes BACE1 activation via glycogen synthase kinase-3β (GSK-3β) and is post-translationally modified by glutaminyl cyclase (QC), resulting in increased neurotoxicity. A novel multi-target inhibitor as a potential AD agent was identified using an in silico approach and experimental validation. Magnolia officinalis, which showed the best anti-AD activity in our preliminary study, was subjected to analysis, and 82 compounds were studied. Among 23 compounds with drug-likeness, blood–brain barrier penetration, and safety, honokiol emerged as a lead structure for the inhibition of BACE1, AChE, QC, and GSK-3β in docking and molecular dynamics (MD) simulations. Furthermore, honokiol was found to be an excellent multi-target inhibitor of these enzymes with an IC50 of 6–90 μM, even when compared to other natural single-target inhibitors. Taken together, the present study is the first to demonstrate that honokiol acts as a multiple enzyme inhibitor with an excellent pharmacokinetic and safety profile which may provide inhibitory effects in broad-range areas including the overproduction, aggregation, and post-translational modification of Aβ. It also provides insight into novel structural features for the design and discovery of multi-target inhibitors for anti-AD.

Structural Basis for Long Residence Time c-Src Antagonist: Insights from Molecular Dynamics Simulations.

c-Src is involved in multiple signaling pathways and serves as a critical target in various cancers. Growing evidence suggests that prolonging a drug's residence time (RT) can enhance its efficacy and selectivity. Thus, the development of c-Src antagonists with longer residence time could potentially improve therapeutic outcomes. In this study, we employed molecular dynamics simulations to explore the binding modes and dissociation processes of c-Src with antagonists characterized by either long or short RTs. Our results reveal that the long RT compound DAS-DFGO-I (DFGO) occupies an allosteric site, forming hydrogen bonds with residues E310 and D404 and engaging in hydrophobic interactions with residues such as L322 and V377. These interactions significantly contribute to the long RT of DFGO. However, the hydrogen bonds between the amide group of DFGO and residues E310 and D404 are unstable. Substituting the amide group with a sulfonamide yielded a new compound, DFOGS, which exhibited more stable hydrogen bonds with E310 and D404, thereby increasing its binding stability with c-Src. These results provide theoretical guidance for the rational design of long residence time c-Src inhibitors to improve selectivity and efficacy.

Evaluation of AlphaFold3 for the fatty acids docking to human fatty acid-binding proteins

Human fatty acid-binding proteins (FABPs) are involved in many aspects of lipid metabolism, such as the uptake, transport, and storage of lipophilic molecules, as well as cellular functions. Understanding how FABPs recognize fatty acids (FAs) is crucial for identifying FABP function and applications, such as in inhibitor design or biomarker development. The recently developed AlphaFold3 (AF3) demonstrates significantly higher accuracy than other prediction tools, particularly in predicting protein–ligand interactions with state-of-the-art docking tools. Studies on whether AF3 can be used to identify the FAs of FABP are lacking. To assess the accuracy of FA docking to FABPs using AF3, models of FA docked into FABP generated using AF3 were compared with experimentally determined FA-bound FABP structures. FA ligands in AF3 structures docked reliably into the FA-binding pocket of FABPs; however, the detailed binding configuration of most FA ligands docked into FABPs and the interaction between FA and FABP determined using AF3 and experimentally differed. These results will aid in understanding FA docking to FABPs and other FA-binding proteins using AF3.

Symmetrical Phosphinic Acids: Synthesis and Esterification Optimization toward Potential HIV Prodrugs.

A highly efficient method to synthesize diverse symmetrical phosphinic acids with the potential to act as pivotal candidates in the design of HIV-1 protease inhibitors has been developed. Such compounds have been designed based on the enzyme-substrate specificity, and their elongated analogues are expected to demonstrate significant inhibition against the HIV-1 protease with IC50 values in the low nanomolar range. Moreover, a highly efficient esterification protocol with carbohydrates and flavonoids has been devised to address the inherent absorption challenges associated with phosphinic-based drugs. These esters not only exhibit low toxicity but also have the potential to generate flavonoid moieties in situ, which are associated with hepatoprotective effects, or naturally occurring carbohydrate metabolites. The methodology utilizes effective peptide coupling reagents, such as aminium-based TBTU and carbodiimide-based DIC, and affords the target products in excellent to quantitative yields. This research represents a promising avenue for the development of novel HIV-1 protease inhibitors with significant therapeutic benefits.

Advances in Cysteine Protease B Inhibitors for Leishmaniasis Treatment.

The expression and release of cysteine proteases by Leishmania spp. and their virulence factors significantly influence the modulation of host immune responses and metabolism, rendering cysteine proteases intriguing targets for drug development. This review article explores the substantial role of cysteine protease B (CPB) in medicinal chemistry from 2001 to 2024, particularly concerning combatting Leishmania parasites. We delve into contemporary advancements and potential prospects associated with targeting cysteine proteases for therapeutic interventions against leishmaniasis, emphasizing drug discovery in this context. Computational analysis using the pkCSM tool assessed the physicochemical properties of compounds, providing valuable insights into their molecular characteristics and drug-like potential, enriching our understanding of the pharmacological profiles, and aiding rational inhibitor design. Our investigation highlights that while nonpeptidic compounds constitute the majority (69.2%, 36 compounds) of the dataset, peptidomimetic- based derivatives (30.8%, 16 compounds) also hold promise in medicinal chemistry. Evaluating the most promising compounds based on dissociation constant (Ki) and half maximal inhibitory concentration (IC50) values revealed notable potency, with 41.7% and 80.0% of nonpeptidic compounds exhibiting values < 1 μM, respectively. On the other hand, all peptidic compounds evaluated for Ki (43.8%) and IC50 (31.3%) obtained values < 1 μM, respectively. Further analysis identified specific compounds within both categories (nonpeptidic: 1, 2, and 4; peptidic: 48-52) as particularly promising, warranting deeper investigation into their structure-activity relationships. These findings underscore the diverse landscape of inhibitors in medicinal chemistry and highlight the potential of both nonpeptidic and peptide-based compounds as valuable assets in therapeutic development against leishmaniasis.