Lead Optimization Research Articles

Forces Driving a Magic Bullet to Its Target: Revisiting the Role of Thermodynamics in Drug Design, Development, and Optimization.

Drug discovery strategies have advanced significantly towards prioritizing target selectivity to achieve the longstanding goal of identifying “magic bullets” amongst thousands of chemical molecules screened for therapeutic efficacy. A myriad of emerging and existing health threats, including the SARS-CoV-2 pandemic, alarming increase in bacterial resistance, and potentially fatal chronic ailments, such as cancer, cardiovascular disease, and neurodegeneration, have incentivized the discovery of novel therapeutics in treatment regimens. The design, development, and optimization of lead compounds represent an arduous and time-consuming process that necessitates the assessment of specific criteria and metrics derived via multidisciplinary approaches incorporating functional, structural, and energetic properties. The present review focuses on specific methodologies and technologies aimed at advancing drug development with particular emphasis on the role of thermodynamics in elucidating the underlying forces governing ligand–target interaction selectivity and specificity. In the pursuit of novel therapeutics, isothermal titration calorimetry (ITC) has been utilized extensively over the past two decades to bolster drug discovery efforts, yielding information-rich thermodynamic binding signatures. A wealth of studies recognizes the need for mining thermodynamic databases to critically examine and evaluate prospective drug candidates on the basis of available metrics. The ultimate power and utility of thermodynamics within drug discovery strategies reside in the characterization and comparison of intrinsic binding signatures that facilitate the elucidation of structural–energetic correlations which assist in lead compound identification and optimization to improve overall therapeutic efficacy.

LC/Q-TOF MS and LC/QQQ MS based bioanalysis of a new ferrocene derivative as a potential anticancer lead with promising drug-like characteristics

Pyrazolopyrimidine ring present in various approved drugs is reported to target the tyrosine kinase receptor. A new pyrazolopyrimidine ferrocene derivative, which targets tumor pyruvate kinase M2 showed an impressive antiproliferative profile against human oral squamous cell carcinoma cell line CAL27 assessed using Alamar blue assay. In line with the lead optimization process, the molecule was studied for physicochemical properties where a bioanalytical method has been developed in plasma on liquid chromatography-mass spectrometry and validated following the USFDA bioanalytical method validation guideline. Plasma stability and plasma protein binding potential of the molecule have been evaluated. All the major metabolites of the compound have been identified through in vitro metabolite study employing rat liver microsome, human liver microsome, and human S9 fractions. The in silico toxicity profile of the metabolites was assessed using ProTox II software. Log P, Log D, and pKa of the molecule were found to be 4.5, 5, and 12, respectively. The molecule was found to be quite stable in plasma and have a moderate affinity towards plasma proteins (about 75 % binding). Four major metabolites have been identified and characterized by UHPLCQ-TOF-MS. The metabolites were found to have a moderate safety profile. The validated bioanalytical method and the metabolic pathway will be useful for future clinical studies and to assess the safety profile of the molecule. The finding of this study may also be useful in analyzing the desired drug-like properties through bioanalysis while designing new chemical entities based on metallocenes.

Are Deep Learning Structural Models Sufficiently Accurate for Free-Energy Calculations? Application of FEP+ to AlphaFold2-Predicted Structures.

The availability of AlphaFold2 has led to great excitement in the scientific community─particularly among drug hunters─due to the ability of the algorithm to predict protein structures with high accuracy. However, beyond globally accurate protein structure prediction, it remains to be determined whether ligand binding sites are predicted with sufficient accuracy in these structures to be useful in supporting computationally driven drug discovery programs. We explored this question by performing free-energy perturbation (FEP) calculations on a set of well-studied protein-ligand complexes, where AlphaFold2 predictions were performed by removing all templates with >30% identity to the target protein from the training set. We observed that in most cases, the ΔΔG values for ligand transformations calculated with FEP, using these prospective AlphaFold2 structures, were comparable in accuracy to the corresponding calculations previously carried out using crystal structures. We conclude that under the right circumstances, AlphaFold2-modeled structures are accurate enough to be used by physics-based methods such as FEP in typical lead optimization stages of a drug discovery program.

Network Analysis Guided Designing of Multi-Targeted Anti-Fungal Agents: Synthesis and Biological Evaluation

During the ongoing pandemic, there have been increasing reports of invasive fungal disease (IFD), particularly among immunocompromised populations. Candida albicans is one of the most common clinical pathogenic microorganisms which have become a serious health threat to population either infected with Covid-19 or on treatment with immunosuppressant's/broad-range antibiotics. Currently, benzothiazole is a well-explored scaffold for anti-fungal activity, especially mercapto substituted benzothiazoles. It is reported that exploring the 2nd position of benzothiazoles yield improved anti-fungal molecules. Therefore, in the current study, a lead optimization approach using a bioisosteric replacement protocol was followed to improve the anti-fungal activity of an already reported benzothiazole derivative, N-(1,3-benzothiazole-2-yl)-2-(pyridine-3-ylformohydrazido) acetamide. To rationally identify the putative anti-candida targets of this derivative, network analysis was carried out. Complexes of designed compounds and identified putative targets were further analyzed for the docking interactions and their consequent retention after the completion of exhaustive MD simulations. Top six designed compounds were synthesized and evaluated for in-vitro anti-fungal property against Candida, which indicated that compounds 1.2c and 1.2f possess improved and comparable anti-fungal activity to N-(1,3-benzothiazole-2-yl)-2-(pyridine-3-ylformohydrazido) acetamide and Nystatin, respectively.

Structure Based in Silico Screening Revealed a Potent Acinetobacter Baumannii Ftsz Inhibitor From Asinex Antibacterial Library.

The superbug Acinetobacter baumannii is an increasingly prevalent pathogen of the intensive care units where its treatment is challenging. The identification of newer drug targets and the development of propitious therapeutics against this pathogen is of utmost importance. A drug target, cell division enzyme (FtsZ), involved in A. baumannii cytokinesis is a promising avenue for antibacterial therapy. Structure based virtual screening illustrated a lead-like molecule from Asinex antibacterial library to have the best binding affinity for the FtsZ active pocket. Computational pharmacokinetics predicted the compound to have the safest pharmacokinetics profile, thus maximizing the chances of the molecule reaching the market with enhanced efficacy and lesser toxicity. Molecular dynamics simulations in an aqueous environment revealed the flexibility of protein loop regions, and upward extension followed by the backward movement of the inhibitor N, N-dimethylpyridazin-3-amine ring on its axis. The active pocket residue Thr310 demonstrated to play significant role in inhibitor binding. The binding free energy predicted by MM/GBSA and MM/PBSA reflected system stability with a total value of -62.15 kcal/mol and -10.60 kcal/mol, respectively. The absolute binding free energy estimated by WaterSwap was -16 kcal/mol that validates and affirms complex stability. The inhibitor represents a promising scaffold as a lead optimization for the FtsZ enzyme.

The Future of Pharmaceuticals: AI Drug Discovery & COVID-19 Treatments

AI Drug Discovery (AIDD) is the implementation of artificial intelligence and computational modeling in the process of finding the ideal medicinal drug for a given ailment; its primary benefit is exponentially speeding up the drug discovery process to about 1 to 2 years, whereas the traditional steps of lead optimization, clinical trials, regulatory approval, and medicinal manufacturing would span approximately 10 years. The COVID-19 pandemic could have been far worse and for a far longer duration if AIDD was not utilized, demonstrating great technological advancement in the field of medicine from the Spanish Flu pandemic in 1918. The benefits of AIDD in areas outside of COVID-19 can be seen in how Wisecube AI developed treatments for Alzheimer’s disease, Schrodinger AI was able to suppress tumors through protein analysis, and the drug discovery database of the scientific community is expanded through AIDD algorithms produced by companies like Standigm and Cytoreason. The idea of repurposing, the use of preexisting drugs to be slightly altered to cover completely different ailments, is also enhanced. In terms of COVID-19 treatments, however, AIDD is used to attack the virus through all forms of vaccinology, including protein-based, RNA-based, and mRNA-based vaccines. The Pfizer and Moderna vaccines are recommended the most by the CDC because of their effective innovation with AIDD in mRNA vaccinology. Simply, AIDD accelerates the R&D timeline of finding drug treatments for the prominent diseases that concern global intervention, and the world nears medicinal mastery with the utilization of computers.

Manganese Schiff Base Complexes, Crystallographic Studies, Anticancer Activities, and Molecular Docking

Choice of ligands is significant to successful synthesis of metal complexes (coordination compounds). This study reports the use of Schiff base as the right ligand to control the poor bioavailability and neurodegenerative toxicity challenges of manganese ion. In line with this study, document analysis was used as the methodological approach to evaluate the significance of Schiff base ligands in easing these manganese’s challenges and aligning the resultant coordination compounds (manganese Schiff base complexes) as therapeutic agents in anticancer studies. Report also involves crystallographic studies where single crystal X-ray crystallography was used as a chemical characterization technique. In addition, molecular docking studies, MOE2008, and AutoDock software were used to reveal the mode of interaction between the Schiff base and the manganese(II) and (III) ions, as well as scrutinizing the biological efficacy of the manganese(II) and manganese(III) Schiff bases coordination compounds as anticancer agents against some anticancer cell lines. Conclusion drawn was that manganese(II) and manganese(III) Schiff bases coordination compounds gave more active and potent activities than the corresponding Schiff bases. As a result, challenges of neurodegenerative toxicity and poor bioavailability of manganese ion were overcome, and the chelation therapy was fulfilled. Results from single crystal X-ray crystallography confirmed the successful synthesis of manganese(II) and manganese(III) Schiff bases coordination compounds and revealed the mechanism of reaction, while the molecular docking buttressed the biological activities of the Schiff base ligand and manganese Schiff base coordination compounds by portraying the structure activity relationship (SAR) between either Schiff base or the manganese Schiff base coordination compounds and the virtual cancer cell line (receptor protein), where hits were obtained for lead optimizations.

Two-Track Virtual Screening Approach to Identify the Dual Inhibitors of Wild Type and C481S Mutant of Bruton's Tyrosine Kinase.

Bruton's tyrosine kinase (BTK) is responsible for the pathogenesis of various autoimmune diseases and chronic lymphocytic leukemia. However, the discovery of efficient medicines has seen limited success due to the constitutively active mutants that acquired the drug resistance. To disclose the dual inhibitors against the wild-type BTK and the problematic drug-resistant C481S mutant, a large chemical library was virtually screened with extensive molecular docking simulations using two target proteins. As a consequence of imposing the configurational restraint to make a hydrogen bond in the hinge region of BTK as well as modifying the ligand dehydration term in the scoring function, a total of 20 dual inhibitors were discovered with the range of the associated IC50 values from 2.5 to 15 μM. All these dual inhibitors revealed the inhibitory activity against the C481S mutant to a comparable extent to that measured for the wild type. Among the new inhibitors, N-(3,5-dimethoxyphenyl)-6,7-dimethoxyquinazolin-4-amine (1) appeared to be most suitable as a starting point of the lead optimization due to the highest biochemical potency against the C481S mutant as well as the lowest molecular weight. To increase the potential of a drug candidate, 1 was modified into 6,7-dimethoxy-N-(pyridin-3-yl)quinazolin-4-amine (12) via chemical synthesis so as to possess better physicochemical properties without loss of the biochemical potency. 12 is suggested as a new effective molecular core from which numerous druggable dual inhibitors of the wild-type BTK and the C481S mutant would be derivatized.

Identification of new small molecule monoamine oxidase-B inhibitors through pharmacophore-based virtual screening, molecular docking and molecular dynamics simulation studies

The discovery of a safe and efficacious drug is a complex, time-consuming, and expensive process. Computational methodologies driven by cheminformatics tools play a central role in the high-throughput lead discovery and optimization process especially when the structure of the biological target is known. Monoamine oxidases are the membrane-bound FAD-containing enzymes and the isoform monoamine oxidase-B (MAO-B) is an attractive target for treating diseases like Alzheimer’s disease, Parkinson’s disease, glioma, etc. In the current study, we have used a pharmacophore-based virtual screening technique for the identification of new small molecule MAO-B inhibitors. Safinamide was used for building a pharmacophore model and the developed model was used to probe the ZINC database for potential hits. The obtained hits were filtered against drug-likeness and PAINS. Out of the hit’s library, two compounds ZINC02181408, ZINC08853942 (most active), and ZINC53327382 (least active) were further subjected to molecular docking and dynamics simulation studies to assess their virtual binding affinities and stability of the resultant protein–ligand complex. The docking studies revealed that active ligands were well accommodated within the active site of MAO-B and interacted with both substrate and entrance cavity residues. MD simulation studies unveiled additional hydrogen bond interactions with the substrate cavity residues, Tyr398 and Tyr435 that are crucial for the catalytic role of MAO-B. Moreover, the predicted ADMET parameters suggest that the compounds ZINC08853942 and ZINC02181408 are suitable for CNS penetration. Thus, the attempted computational campaign yielded two potential MAO-B inhibitors that merit further experimental investigation. Communicated by Ramaswamy H. Sarma

Discovery and In Vivo Evaluation of ACT-660602: A Potent and Selective Antagonist of the Chemokine Receptor CXCR3 for Autoimmune Diseases.

The chemokine receptor CXCR3 is a seven-transmembrane G-protein-coupled receptor (GPCR) involved in various pathologies, in particular autoimmune diseases. It is activated by the three chemokine ligands CXCL9, CXCL10, and CXCL11 and enables the recruitment of immune cell subsets leading to damage of inflamed tissues. Starting from a high-throughput screening hit, we describe the iterative optimization of a chemical series culminating in the discovery of the selective CXCR3 antagonist ACT-660602 (9j). The careful structural modifications during the lead optimization phase led to a compound with high biological potency in inhibiting cell migration together with improvements of the metabolic stability and hERG issue. In a LPS-induced lung inflammation model in mice, ACT-660602 led to significantly reduced recruitment of the CXCR3+ CD8+ T cell in the bronchoalveolar lavage compartment when administered orally at a dose of 30 mg/kg.

Lead optimization of cathepsin K inhibitors for the treatment of Osteoarthritis

Cathepsin K (Cat K) is a cysteine protease involved in bone remodeling. In addition to its role in bone biology, Cat K is upregulated in osteoclasts, chondrocytes and synoviocytes in osteoarthritic (OA) disease states making it a potential therapeutic target for disease-modifying OA. Starting from a prior preclinical compound, MK-1256, lead optimization efforts were carried out in the search for potent Cat K inhibitors with improved selectivity profiles with an emphasis on cathepsin F. Herein, we report the SAR studies which led to the discovery of the highly selective oxazole compound 23, which was subsequently shown to inhibit cathepsin K in vivo as measured by reduced levels of urinary C-telopeptide of collagen type I in dog.

Development of Synthetic Approaches Towards HIV Integrase Strand Transfer Inhibitors (INSTIs)

AbstractA clear and precise report on synthetic methods for INSTIs and their intermediates are provided in the present work. HIV Integrase strand transfer inhibitors (INSTIs), a class of antiretroviral agents employed to treat HIV infected patients are placed as the second option of treatment after nucleosides. As INSTIs are employed as first line therapy to newly infected HIV positive individuals, thus synthetic routes must be easily accessible to the medicinal chemists towards lead optimization or process development. The current perspective elaborates synthetic routes of first to next generation INSTIs investigated in two decades of research and their development efforts. Further, drug resistance occurred by mutations against usage of INSTI drugs with respect to their generation also discussed. Later, discussion about synthetic development and investigation of next generation INSTIs against drug resistance HIV infections also covers to fill the gap between first/second generation INSTIs. The current perspective will draw attention of medicinal chemists and multi‐disciplinary researchers in HIV drug discovery.

Biosorption optimization of lead(II) and cadmium(II) ions by two novel nanosilica-immobilized fungal mutants.

This study aims at immobilization of fungal mutants on nanosilica (NSi)-carriers for designing efficient biosorbents as a significant new technology for decontamination practices and maximizing their heavy metal (HM) sorption proficiency through the experimental design methodology. Endophytic fungal mutant strains, Chaetomium globosum El26 mutant and Alternaria alternata S5 mutant were heat inactivated and then immobilized, each separately, on NSi carriers to formulate two separated nano-biosorbents. The formulated NSi-Chaetomium globosum El26 mutant (NSi-Chae El26 m) was investigated for Pb+2 uptake while, the formulated NSi-Alternaria alternata S5 mutant (NSi-Alt S5 m) was investigated for Cd+2 uptake, each through a batch equilibrium protocol. Before and after the metal sorption process, the designed nano-biosorbents were characterized via scanning electron microscopy, energy-dispersive X-ray spectroscopy, and Fourier transform infrared analysis. Sorption pH, contact time, sorbent concentration, and initial HM concentration were statistically optimized using a Box-Behnken design. Results showed that NSi-Chae El26 m was efficient in Pb+2 uptake with maximum biosorption capacities of 199.0, while NSi-Alt S5 m was efficient in Cd+2 uptake with maximum biosorption capacities of 162.0mg g-1 . Moreover, the equilibrium data indicated that the adsorption of Pb+2 and Cd+2 by the tested nano-biosorbents fitted to the Freundlich isotherm. The formulated nano-biosorbents resulted in higher HM biosorption of metal ions from aqueous solution than that obtained by the free fungal biomass. The biosorption statistical modelling described the interactions between the tested sorption parameters and predicted the optimum values for maximum HM biosorption capacity by the two designed nano-biosorbents. These findings verify that members of the endophytic fungal genera Alternaria and Chaetomium are suitable to produce nano-biosorbents for decontamination practices after treatment by gamma mutagenesis, heat inactivation, and NSi immobilization. Moreover, statistical optimization can assist to evaluate the optimal conditions to produce such bioremediation material.

Identification of Prazosin as a Potential Flagellum Attachment Zone 1(FAZ1) Inhibitor for the Treatment of Human African Trypanosomiasis.

Human African trypanosomiasis (HAT) remains a health threat to sub-Saharan Africa. The current treatments suffer from drug resistance and life-threatening side effects, making drug discovery for HAT still important. A high-throughput screening of the library of pharmaceutically active compounds identified prazosin, an α-adrenoceptor antagonist, that showed selective activity toward Trypanosoma brucei brucei. Furthermore, a series of prazosin analogues were examined, and overall, the new analogues had improved activity and selectivity. To elucidate the binding partner, a biotin-conjugated probe was synthesized, and a protein pulldown assay combined with a proteomic analysis identified the flagellum attachment zone 1 (FAZ1) filament as an interacting partner. Additionally, prazosin treatment resulted in dysfunction of the flagellum of trypanosome cells, which is indicative of a FAZ1 irregularity. We also examined the drug distribution by utilizing immunofluorescence with a designed fluorescent analogue that showed partial colocalization with FAZ1. With the activity of the prazosin analogues, a structure-activity relationship (SAR) was summarized for future lead optimization. Our findings provide a new group of FAZ1 inhibitors as novel antitrypanosomal agents.

Identification of 2-hydroxybenzoic acid derivatives as selective SIRT5 inhibitors

The sirtuin deacetylase SIRT5 plays important roles in regulating multiple metabolic pathways, and potentially represents an attractive target for the treatment of several human diseases, especially cancer. In this study, we report the identification of the hit compound 11 bearing a 2-hydroxybenzoic acid functional group as a novel SIRT5-selective inhibitor via our medium-throughput thermal shift screening assay. Hit 11 stabilizes SIRT5 in a dose-dependent manner and shows moderate inhibitory activity against SIRT5 and high subtype selectivity over SIRT1, 2, and 3 in a trypsin coupled enzyme-based assay. The carboxylic acid and the adjacent hydroxyl group of 11 are essential for maintaining activity. To further improve the potency of compound 11, a lead optimization was carried out, resulting in compound 43 with a 10-fold improved potency. Overall, compound 11 represents a promising new chemical scaffold for further investigation to develop SIRT5-selective inhibitors.

Identification of Small-Molecule Inhibitors of Fibroblast Growth Factor 23 Signaling via In Silico Hot Spot Prediction and Molecular Docking to α-Klotho.

Fibroblast growth factor 23 (FGF23) is a therapeutic target for treating hereditary and acquired hypophosphatemic disorders, such as X-linked hypophosphatemic (XLH) rickets and tumor-induced osteomalacia (TIO), respectively. FGF23-induced hypophosphatemia is mediated by signaling through a ternary complex formed by FGF23, the FGF receptor (FGFR), and α-Klotho. Currently, disorders of excess FGF23 are treated with an FGF23-blocking antibody, burosumab. Small-molecule drugs that disrupt protein/protein interactions necessary for the ternary complex formation offer an alternative to disrupting FGF23 signaling. In this study, the FGF23:α-Klotho interface was targeted to identify small-molecule protein/protein interaction inhibitors since it was computationally predicted to have a large fraction of hot spots and two druggable residues on α-Klotho. We further identified Tyr433 on the KL1 domain of α-Klotho as a promising hot spot and α-Klotho as an appropriate drug-binding target at this interface. Subsequently, we performed in silico docking of ∼5.5 million compounds from the ZINC database to the interface region of α-Klotho from the ternary crystal structure. Following docking, 24 and 20 compounds were in the final list based on the lowest binding free energies to α-Klotho and the largest number of contacts with Tyr433, respectively. Five compounds were assessed experimentally by their FGF23-mediated extracellular signal-regulated kinase (ERK) activities in vitro, and two of these reduced activities significantly. Both these compounds were predicted to have favorable binding affinities to α-Klotho but not have a large number of contacts with the hot spot Tyr433. ZINC12409120 was found experimentally to disrupt FGF23:α-Klotho interaction to reduce FGF23-mediated ERK activities by 70% and have a half maximal inhibitory concentration (IC50) of 5.0 ± 0.23 μM. Molecular dynamics (MD) simulations of the ZINC12409120:α-Klotho complex starting from in silico docking poses reveal that the ligand exhibits contacts with residues on the KL1 domain, the KL1-KL2 linker, and the KL2 domain of α-Klotho simultaneously, thereby possibly disrupting the regular function of α-Klotho and impeding FGF23:α-Klotho interaction. ZINC12409120 is a candidate for lead optimization.

Synthesis-Aware Generation of Structural Analogues

In modern drug design, one of the main issues is the optimization of an initial lead structure toward a drug candidate by modifying specific properties in the desired direction. The synthetic feasibility of the target structure is often neglected during this process, resulting in structures with low or suboptimal synthetic accessibility. In this work, we present a novel approach for synthesis-aware lead optimization called Synthesia. In contrast to the traditional approaches, Synthesia integrates the preservation of the synthesizability of the target structure into the lead structure modification process. Synthesia is able to create structural diversity for a lead structure that matches user-defined molecular properties without losing the applicability of a particular synthetic pathway. The methodology is validated by demonstrating that Synthesia is capable of providing structural analogues of DrugBank compounds that meet generic modification goals and maintain their synthetic pathways. In addition, Synthesia is used to cluster compounds from two different patent structure series (CDK7, Daurismo) according to their compatibility with the same synthetic pathways, maximizing the synthetic efficiency and providing an initial estimation of the effort of synthesizing the entire series. Altogether, we demonstrate Synthesia's ability to modify compound properties while maintaining in silico synthesizability.

A computational evaluation of FDA medicines' ability to inhibit hypoxia-inducible factor prolyl hydroxylase-2 (PHD-2) for acute respiratory distress syndrome.

COVID-19 infection is associated with a significant fatality rate in individuals suffering from severe acute respiratory distress syndrome (ARDS). Among the several possibilities, inhibition of hypoxia-inducible factor prolyl hydroxylase-2 or prolyl hydroxylase domain-containing protein 2 (PHD2) in a hypoxia-independent way is a prospective therapeutic target for the treatment of ARDS. Vadadustat, Roxadustat, Daprodustat, Desidustat, and Enarudustat are the available clinical trial inhibitors. This study is proposed to focus on the repurposing of FDA-approved drugs as effective PHD2 inhibitors. This computational study utilises e-pharmacophore hypothesis generation from the native ligand–protein complex (PDB ID: 5OX6) based on XP visualiser information. The hypothesis containing five essential features (AAANR) was incorporated for FDA database screening, followed by Glide XP molecular docking and Prime MM-GBSA binding free energy calculations. Top scored ligands were investigated and Fenbufen was identified as an effective PHD-2 inhibitor by comparing with the native co-crystal ligand (Vadadustat). The manual lead optimisation of the Fenbufen structure was adopted to improve inhibitory potency, by increasing the binding affinity and protein–ligand stability. The newly designed compounds B and C showed additional binding interactions, excellent docking scores, binding free energy, and an acceptable range of ADME properties. Also, Fenbufen and compound C owned preferable protein–ligand stability during MD simulation when compared with the co-crystallised clinical trial ligand. Based on our findings, we deduce that Fenbufen can be proposed as an effective repurposable candidate as its structural modification showed a remarkable improvement in PHD2 inhibition.Graphical abstract Supplementary informationThe online version contains supplementary material available at 10.1007/s11224-022-02012-z.

NTD Drug Discovery Booster, Achievements and Next Steps

The Neglected Tropical Disease (NTD) Drug Discovery Booster is a collaborative project in early small molecule drug discovery running since 2015 between Drugs for Neglected Diseases initiative (DNDi) and pharmaceutical partners across the globe, including Astellas Pharma Ltd., Eisai Co., Ltd., Shionogi & Co., Ltd. and Takeda Pharmaceutical Company Ltd. in Japan, along with AbbVie Inc., Merck KGaA, AstraZeneca plc and Celgene Corporation. The Booster engages these partners to share both their experience with in silico screening as well as their proprietary chemical libraries to further develop new starting points for NTDs such as visceral leishmaniasis and Chagas disease. This collaborative approach allows DNDi to access new chemical space and elaborate the structure activity relationships (SAR) around phenotypic screening hits against the causative parasites of these diseases (Trypanosoma cruzi, Leishmania donovani and infantum) as well as access new starting points via innovative scaffold hops proposed by the partners. Since 2015 the Booster has probed over 20 new starting point "hits" for these diseases, successfully converting over half into new series for further exploitation. These series were developed further in partnership with the booster collaborators to enable in vivo proof of concept studies, with series from the booster progressing into lead optimization. Our efforts in the NTD Discovery Booster have demonstrated clear advantages of this precompetitive sharing mechanism and the synergistic value of exploring multiple proprietary compound libraries in parallel. The most advanced of these Booster projects is projected to deliver a preclinical candidate for leishmaniasis within the next 2 years.

Evaluation of quinoxaline derivatives as potential ergosterol biosynthesis inhibitors: design, synthesis, ADMET, molecular docking studies, and antifungal activities

Because of the increased infection incidence and the advent of medication resistance, fungi have become a severe medical problem. Ergosterol is a structural component of the fungal cell membrane, and its synthetases (14α-demethylase (CYP51)) are thought to be the key to inhibiting ergosterol synthesis. Based on the active site (CYP51) analysis, we created a series of quinoxaline derivatives in this study. Following that, these target compounds were produced and tested for antifungal efficacy. The majority of the compounds show significant antifungal activity against a variety of Candida species. Compounds 9, 11, 17, 20, and 21 have antifungal properties that are similar to the positive control medicines and have considerable inhibitory effects, with MIC50 values ranging from 0.78 to 3.12 μg/mL. Compound 9 has the strongest antifungal activity against all Candida species, outperforming Ketoconazole and Fluconazole, and was thought to be the series' most active compound. As a result, the action mechanism for the most powerful blows was investigated further. They can alter ergosterol synthesis by blocking the activity of the 14α-demethylase (CYP51) target, according to preliminary mechanisms. According to this study, compounds 9, 11, 17, 20, and 21 have an efficient effect on the ergosterol production pathway. Moreover, the cytotoxicity of the most promising compounds was investigated, revealing the importance of 9, 11, 17, 20, and 21 hits as prospective anticandidal therapeutics. Furthermore, the ADMET characteristics, as well as the created binding models, will be valuable for further lead optimization.