Multitargeted Inhibitor Research Articles

Machine learning-based q-RASAR approach for the in silico identification of novel multi-target inhibitors against Alzheimer's disease

In the present research, we present the application of a novel approach, termed the Machine Learning (ML)-Based q-RASAR (quantitative read-across structure-activity relationship) method, for the identification of potential multi-target inhibitors against Alzheimer's disease (AD). The q-RASAR effectively combines the principles of both read-across and 2D QSAR approaches. As a result, it is imperative to take into account similarity-related aspects in the process of developing q-RASAR models. In this investigation, we have implemented ML-based q-RASAR modeling against seven major targets (AChE, BuChE, BACE1, 5-HT6, CDK-5 enzymes, Amyloid precursor protein, and Tau aggregation) of AD using the initially selected features in 2D-QSAR models for the identifications of novel multitarget inhibitors. The models were individually used to check the applicability domain of a pool of 407270 natural products (NPs) obtained from the COCONUT database (https://coconut.naturalproducts.net/download) and provided prioritized compounds for experimental detection of their performance as anti-Alzheimer's drugs. Furthermore, we have also developed the q-RASAAR (quantitative read-across structure-activity-activity relationship) and selectivity-based q-RASAR models to explore the most important features contributing to the dual inhibition against the respective targets. Furthermore, we have applied seven distinct machine learning algorithms to check their influence on the predictive abilities of q-RASAR and q-RASAAR models. Moreover, we have also developed the univariate q-RASAR model, with the RA function as the primary independent variable. Additionally, molecular docking experiments have been conducted to gain insights into the atomic-level molecular interactions between ligands and enzymes. These observations are then juxtaposed with the structural characteristics obtained from models that elucidate the mechanistic aspects of binding events. These proposed models may serve as valuable tools for pinpointing crucial molecular attributes when designing potential drugs for Alzheimer's therapy through the rational design of multi-target inhibitors.

A dual-targeting succinate dehydrogenase and F1Fo-ATP synthase inhibitor rapidly sterilizes replicating and non-replicating Mycobacterium tuberculosis

Mycobacterial bioenergetics is a validated target space for antitubercular drug development. Here, we identify BB2-50F, a 6-substituted 5-(N,N-hexamethylene)amiloride derivative as a potent, multi-targeting bioenergetic inhibitor of Mycobacterium tuberculosis. We show that BB2-50F rapidly sterilizes both replicating and non-replicating cultures of M.tuberculosis and synergizes with several tuberculosis drugs. Target identification experiments, supported by docking studies, showed that BB2-50F targets the membrane-embedded c-ring of the F1Fo-ATP synthase and the catalytic subunit (substrate-binding site) of succinate dehydrogenase. Biochemical assays and metabolomic profiling showed that BB2-50F inhibits succinate oxidation, decreases the activity of the tricarboxylic acid (TCA) cycle, and results in succinate secretion from M.tuberculosis. Moreover, we show that the lethality of BB2-50F under aerobic conditions involves the accumulation of reactive oxygen species. Overall, this study identifies BB2-50F as an effective inhibitor of M.tuberculosis and highlights that targeting multiple components of the mycobacterial respiratory chain can produce fast-acting antimicrobials.

1,3-Dichloroadamantyl-Containing Ureas as Potential Triple Inhibitors of Soluble Epoxide Hydrolase, p38 MAPK and c-Raf.

Soluble epoxide hydrolase (sEH) is an enzyme involved in the metabolism of bioactive lipid signaling molecules. sEH converts epoxyeicosatrienoic acids (EET) to virtually inactive dihydroxyeicosatrienoic acids (DHET). The first acids are "medicinal" molecules, the second increase the inflammatory infiltration of cells. Mitogen-activated protein kinases (p38 MAPKs) are key protein kinases involved in the production of inflammatory mediators, including tumor necrosis factor-α (TNF-α) and cyclooxygenase-2 (COX-2). p38 MAPK signaling plays an important role in the regulation of cellular processes, especially inflammation. The proto-oncogenic serine/threonine protein kinase Raf (c-Raf) is a major component of the mitogen-activated protein kinase (MAPK) pathway: ERK1/2 signaling. Normal cellular Raf genes can also mutate and become oncogenes, overloading the activity of MEK1/2 and ERK1/2. The development of multitarget inhibitors is a promising strategy for the treatment of socially dangerous diseases. We synthesized 1,3-disubstituted ureas and diureas containing a dichloroadamantyl moiety. The results of computational methods show that soluble epoxide hydrolase inhibitors can act on two more targets in different signaling pathways of mitogen-activated protein kinases p38 MAPK and c-Raf. The two chlorine atoms in the adamantyl moiety may provide additional Cl-π interactions in the active site of human sEH. Molecular dynamics studies have shown that the stability of ligand-protein complexes largely depends on the "spacer effect." The compound containing a bridge between the chloroadamantyl fragment and the ureide group forms more stable ligand-protein complexes with sEH and p38 MAPK, which indicates a better conformational ability of the molecule in the active sites of these targets. In turn, a compound containing two chlorine atoms forms a more stable complex with c-Raf, probably due to the presence of additional halogen bonds of chlorine atoms with amino acid residues.

Structure-based virtual screening against multiple Plasmodium falciparum kinases reveals antimalarial compounds.

The continuous emergence of resistance against most frontline antimalarial drugs has led to countless deaths in malaria-endemic countries, counting 619,000 deaths in 2021, with mutation in drug targets being the sole cause. As mutation is correlated frequently with fitness cost, the likelihood of mutation emergence in multiple targets at a time is extremely low. Hence, multitargeting compounds may seem promising to address drug resistance issues with additional benefits like increased efficacy, improved safety profile, and the requirement of fewer pills compared to traditional single and combinational drugs. In this study, we attempted to use the High Throughput Virtual Screening approach to predict multitarget inhibitors against six chemically validated Plasmodium falciparum (Pf) kinases (PfPKG, PfMAP2, PfCDPK4, PfTMK, PfPK5, PfPI4K), resulting in 21 multitargeting hits. The molecular dynamic simulation of the top six complexes (Myricetin-MAP2, Quercetin-CDPK4, Myricetin-TMK, Quercetin-PKG, Salidroside-PK5, and Salidroside-PI4K) showed stable interactions. Moreover, hierarchical clustering reveals the structural divergence of the compounds from the existing antimalarials, indicating less chance of cross-resistance. Additionally, the top three hits were validated through parasite growth inhibition assays, with quercetin and myricetin exhibiting an IC50 value of 1.84 and 3.93µM, respectively.

Delineating Pixantrone Maleate’s adroit activity against cervical cancer proteins through multitargeted docking-based MM\GBSA, QM-DFT and MD simulation

Cervical cancer poses a substantial worldwide health challenge, especially in low- and middle-income nations, caused by high-risk types of human papillomavirus. It accounted for a significant percentage of cancer-related deaths among women, particularly in areas with limited healthcare resources, necessitating innovative therapeutic approaches, and single-targeted studies have produced significant results, with a considerable chance of developing resistance. Therefore, the multitargeted studies can work as a beacon of hope. This study is focused on performing the multitargeted molecular docking of FDA-approved drugs with the three crucial proteins TBK1, DNA polymerase epsilon, and integrin α-V β-8 of cervical cancer. The docking studies using multisampling algorithms HTVS, SP, and XP reveal Pixantrone Maleate (DB06193) as a multitargeted inhibitor with docking scores of -8.147, -8.206 and -7.31 Kcal/mol and pose filtration with MM\GBSA computations with scores -40.55, -33.67, and -37.64 Kcal/mol. We also have performed QM-based DFT and pharmacokinetics studies of the compound and compared it with the standard values, which results in the compound being entirely suitable against cervical cancer proteins. The interaction fingerprints have revealed that PHE, VAL, SER and ALA are the residues among most interactions. We also explore the stability of the multitargeted potential of Pixantrone Maleate through 100ns MD simulations and investigate the RMSD, RMSF and intermolecular interactions between all three proteins-ligand complexes. All computational studies favour Pixantrone Maleate as a multitargeted inhibitor of the TBK1, DNA polymerase epsilon, and integrin α-V β-8 and can be validated experimentally before use.

Anti-inflammatory effect of curcumin in an accelerated senescence model of Wistar rat: an in vivo and in-silico study

Curcumin, a biphenolic substance derived from turmeric (Curcuma longa), offers a number of health-beneficial effects, including anti-inflammatory, cardiovascular protection, anti-cancerous, and anti-angiogenic. By interacting with the PPARγ (Peroxisome Proliferator-Activated Receptor-γ), curcumin inhibits NF-κB. These biological outcomes seem to be the outcome of NF-κB inhibition mediated by curcumin. The current study explores the in vivo impact of curcumin on several inflammatory parameters during aging in Wistar rats. An in-silico docking simulation study using Maestro and Desmond, Schrödinger, was carried out to further validate the experimental findings. According to our observation, rats given curcumin supplementation had a considerably (p ≤ 0.05) reduced level of inflammation. By generating numerous polar and hydrophobic interactions and exhibiting little conformational deviation throughout the simulation, in silico investigations showed that the proposed ligand curcumin had a high affinity for the enzyme COX-2. During simulation, protein-ligand complexes of curcumin with the other targets viz. 5-LOX, TNF-α and IL-6 also demonstrated improved binding and minimal fluctuation. The COX-2 and 5-LOX enzymes and the cytokines (TNF-α and IL-6) implicated in inflammation may have been inhibited by curcumin, highlighting its function as a multi-target inhibitor. Our study provides convincing support for the idea that eating a diet high in curcumin may help to reduce inflammation and help to explain some of its health-beneficial effects. Communicated by Ramaswamy H. Sarma

An Overview of the Use of Anti-Angiogenic Agents in the Treatment of Thymic Epithelial Tumors

Angiogenesis significantly influences the carcinogenesis of thymic epithelial tumors (TET). Both thymomas and thymic carcinoma (TC) overexpress VEGF-A and VEGFR-1 and -2. This review aims to provide an appraisal of the use of anti-angiogenics in the treatment of TET. The literature research identified 16 studies that were deemed eligible for further analysis. Seven studies assessed the clinical efficacy of sunitinib and five studies the use of apatinib and/or anlotinib. The multicenter Japanese phase II REMORA trial investigated the efficacy of lenvatinib, which is a multi-targeted inhibitor of VEGFR, FGFR, RET, c-Kit, and other kinases. The objective response rate was 38% (25.6–52%), which is the highest documented in TET that progressed after first-line chemotherapy. Anti-angiogenic agents may be useful in the treatment of TET, which are not amenable to curative treatment. Their toxicity profile seems to be acceptable. However, angiogenesis inhibitors do not appear to have a major influence on either thymomas or TC, although multikinase inhibitors may have some effect on TC. The current evidence suggests that the most active agent is lenvatinib, whereas sunitinib could be proposed as an acceptable second-line therapy for TC. Further research concerning the combination of immune checkpoint inhibitors with anti-angiogenic drugs is warranted.

СИНТЕЗ И СВОЙСТВА АДАМАНТИЛСОДЕРЖАЩИХ 1,3-ДИЗАМЕЩЕННЫХ МОЧЕВИН НА ОСНОВЕ ПРОИЗВОДНЫХ ПРОПИОНОВОЙ КИСЛОТЫ - ПОТЕНЦИАЛЬНЫХ МУЛЬТИТАРГЕТНЫХ ИНГИБИТОРОВ SEH И COX-2

Known NSAIDs from the group of propionic acid derivatives (naproxen, ketoprofen and flurbiprofen) were converted by reaction with diphenylphosphoryl azide into the corresponding isocyanates with yields of 85-89%. By reacting the resulting isocyanates with (adamantan-1-yl)methylamine, adamantyl-containing ureas were synthesized in yields of 81-90 %. The resulting ureas are potential multi-target inhibitors of soluble epoxide hydrolase (sEH) and cyclooxygenase (COX).

The Novel CDK9/CDK4/6/PI3K Triple Inhibitor LCI139 for the Treatment of MYC-Driven Mantle Cell Lymphoma

Mantle cell lymphoma (MCL) is an aggressive B cell malignancy with characteristic t(11;14)(q13;q32) translocation juxtaposing IGH and CCND1 gene loci. This chromosomal rearrangement leads to Cyclin D1 overexpression and cell cycle dysregulation at the G1/S phase transition. MCL is generally diagnosed at advanced stages and follows an aggressive course of disease. Although chemotherapy-based combination regimens are initially effective, most patients relapse with a median survival of only 2.5-5 years. While novel targeted therapeutics have shown promising activity in relapsed/refractory patients, inevitable relapse associated with progressively declining efficacy and increasing resistance to single agent targeted therapy is a major concern. To overcome this barrier, we designed in-silico based a novel multitarget small molecule inhibitor LCI139 which simultaneously blocks three oncogenic targets: cyclin-dependent kinase 9 (CDK9), CDK4/6, and phosphatidylinositol-3 kinase (PI3K). LCI139 is a potent CDK9/CDK4/6/PI3K inhibitor with IC 50s of 0.000039µM (CDK9), 0.0015µM/0.0036µM (CDK4/6) 0.070µM (p110α), 0.461µM (p110γ), and 0.214 (p110δ), as determined by cell free assay alpha screens. Dose-dependent screening of LCI139 against a panel of MCL cell lines revealed robust cytotoxic effects with maximal IC 50 of 86.67 nM in JeKo-1 cells, 64.8 nM in Mino cells, and 202.5 nM in Rec-1 cells. Compared with clinical single agent CDK9 inhibitor AZD4573, LCI139 is less toxic to normal human stromal cells (HS-5), whereas both LCI139 and AZD4573 have no significant cytotoxic effect on normal human foreskin fibroblast cells (Hs68). LCI139 treatment at various concentrations for 24hrs induced significant apoptotic response in two MCL cell lines, JeKo-1 (p<0.001 DMSO vs LCI139 100 nM, p<0.0001 DMSO vs LCI139 200 nM) and Mino (p<0.05 DMSO vs LCI139 100 nM, p<0.0001 DMSO vs LCI139 200 nM) as determined by Annexin V/7-AAD apoptosis staining. Similarly, LCI139-induced apoptotic cell death was further confirmed by increasing cl-PARP protein levels compared to control as assessed by Western blot analysis. LCI139 induced robust G2/M cell cycle arrest in JeKo-1 cells and G1 arrest in Mino cells. The mechanism of action of pan-CDK inhibitors has been associated with downregulation of the anti-apoptotic protein MCL-1 through inhibition of transcriptional CDKs. Our results show that short-term exposure of LCI139 (1hr and 3hr) significantly suppressed MCL-1 and MYC mRNA expression in JeKo-1 (p<0.00001 DMSO vs LCI139) and Mino cells (p<0.00001 DMSO vs LCI139). LCI139 suppressed pRpb1 (Ser2), MCL-1 and cMYC protein expression in IgM-stimulated JeKo-1 and Mino cells in a dose-dependent manner. Treatment with LCI139 had no significant effect on pAKT (Ser473) in Jeko-1 cells, whereas pAKT (Ser473) was completely abolished in Mino cells at 500nM of LCI139. Mechanistically, our findings also demonstrate that LCI139 decreased MCL-1 and cMYC protein stability and reduced half-life as accessed by cycloheximide chase assay. This decrease in cMYC stability is associated with decreased of cMYC phosphorylation at Ser62. Adaptive kinome remodeling via drug-induced transcriptional reprogramming is a known contributor to ibrutinib resistant (IR) MCL. RNA-sequencing analysis of JeKo-1 vs Jeko-1 IR cells revealed a total of 3468 differentially expressed genes (FC > 1.5 and FDR < 0.05) where 110 kinases display altered expression in JeKo-1 IR cells. Finally, we show that LCI139 overcomes chronic ibrutinib resistance by decreasing viability in JeKO-1 IR and Mino IR cells with an IC 50 of 79 nM and 89 nM, respectively. Therefore, the multitarget small molecule inhibitor LCI139 has superior potency against IR MCL cell lines and overcomes ibrutinib-resistance at nanomolar doses.

Development of Potential Multi-Target Inhibitors for Human Cholinesterases and Beta-Secretase 1: A Computational Approach.

Alzheimer's disease causes chronic neurodegeneration and is the leading cause of dementia in the world. The causes of this disease are not fully understood but seem to involve two essential cerebral pathways: cholinergic and amyloid. The simultaneous inhibition of AChE, BuChE, and BACE-1, essential enzymes involved in those pathways, is a promising therapeutic approach to treat the symptoms and, hopefully, also halt the disease progression. This study sought to identify triple enzymatic inhibitors based on stereo-electronic requirements deduced from molecular modeling of AChE, BuChE, and BACE-1 active sites. A pharmacophore model was built, displaying four hydrophobic centers, three hydrogen bond acceptors, and one positively charged nitrogen, and used to prioritize molecules found in virtual libraries. Compounds showing adequate overlapping rates with the pharmacophore were subjected to molecular docking against the three enzymes and those with an adequate docking score (n = 12) were evaluated for physicochemical and toxicological parameters and commercial availability. The structure exhibiting the greatest inhibitory potential against all three enzymes was subjected to molecular dynamics simulations (100 ns) to assess the stability of the inhibitor-enzyme systems. The results of this in silico approach indicate ZINC1733 can be a potential multi-target inhibitor of AChE, BuChE, and BACE-1, and future enzymatic assays are planned to validate those results.

Small molecule multitarget antiangiogenic inhibitor treatments for advanced thymic epithelial tumors: A retrospective study.

Thymic epithelial tumors (TETs) are rare malignant tumors with limited treatment options. No established second-line treatment regimen is available following the preferred first-line chemotherapy, resulting in unsatisfactory efficacy and poor prognosis for patients with advanced TETs. This study aimed to evaluate the efficacy of small molecule multitarget antiangiogenic inhibitors as well as the prognostic factors for advanced TETs. A retrospective study was conducted using data from a real-world database. Clinical information and survival follow-up data were collected from 52 patients with advanced TETs who received small molecule multitarget antiangiogenic inhibitors at Zhejiang Cancer Hospital between August 10, 2016 and August 10, 2022. The short-term efficacy of the treatments, survival time of the patients, and relevant prognostic factors of advanced TETs were analyzed. Out of the 52 patients included in this study, 16 had thymoma and 36 had thymic carcinoma. The 52 patients had an overall response rate of 21.1% and a disease control rate of 94.2%. In addition, the median progression-free survival (PFS) was 8.05 months, and the overall survival (OS) was 25.00 months. Apatinib was given to 33 patients, anlotinib to 15 patients, and sunitinib or lenvatinib to four patients. Only seven patients received antiangiogenic inhibitors as their first-line therapy, 27 patients as their second-line therapy, and 18 patients as third-line or subsequent therapy. Meanwhile, 42 patients received monotherapy with an antiangiogenesis inhibitor, while 10 patients received combination therapy. Univariate analysis indicated that the combined treatment was associated with a superior OS (p = 0.044); multivariate analysis indicated that the combined treatment was an independent prognostic factor for PFS (p = 0.014) and OS (p = 0.012). The findings suggest that small molecule multitarget antiangiogenic inhibitors are efficacious as second or post-line treatments as a viable alternative treatment option for patients with advanced TETs.

In-Vitro and In-Silico Approach Distinguish ER-α and HER-2 Antagonistic Properties of Indian Herbal Formulation on Breast Cancer

Objectives: The anticancer effect of an Indian herbal preparation was studied under a cancer cell line, as well as the in silico computational methods that explain the probability of protein ligands binding to ER- α and HER-2 receptors.
 Method: The in vitro anticancer activity of Body Revival® suspension (BR) was determined using cytotoxicity tests, cell invasion and migration assays, and metastatic protein expression assays using MCF-7 breast cancer cells. The computational predictive biological method was applied to find out the pharmacodynamic and pharmacokinetic interactions between the active molecules present in the BR and ER- α/and HER-2 of breast cancer.
 Results: BR showed significant and dose dependent cytotoxic effects on MCF-7 cells. The 50% effective cytotoxic dose of BR was 34.27µl/ml. It restricted invasion (26%) and migration (28%) of cancer cells than BSA control. MMP-9 and IL-6 concentration were reduced significantly (p<0.001) after treatment. Cucurbitacin B had maximum in silico binding energy score (-7.8) with ER-α, while symconoside B had with HER-2 (-8.4); but, among the other interactions between the two ligands and receptors, withaferin A had the highest affinity (-15.3). Additionally, withaferin A, symconoside A, and symconoside B curcurbitacin A demonstrated bioavailability and fulfilled safety standards. 
 Conclusion: Body Revival® showed as a powerful multi-target inhibitor of ER- α and HER-2 that has prospective anticancer action without side effects, and may be useful in the therapy management following a successful trial in breast cancer patients.
 Keywords: Breast cancer, Cytotoxicity, MCF-7, ER- α, HER-2, Herbs, In Silico

Synergistic effect of docetaxel combined with a novel multi-target inhibitor CUDC-101 on inhibiting human prostate cancer

Histone deacetylases (HDACs) are commonly overexpressed in several types of human cancers, including prostate cancer (PCa). Histone deacetylase inhibitors (HDACis) are emerging as promising tools for cancer therapy. However, there is still a need to understand their anti-tumor effects and the mechanisms underlying their action. In our study, we investigated the effects of co-treatment with CUDC-101 and docetaxel (DTX) on cell growth, clonogenicity, invasion and migration of PCa cells both in vitro, and in a xenograft mouse model. We found that the combination of CUDC-101 and DTX significantly reduced tumor growth, as evidenced by lower tumor weight and volumes. Moreover, apoptotic cell death was increased in the combination group compared to either drug alone or control. Mechanistically, we observed that the combined treatment of CUDC-101 with DTX suppressed the progression of PCa cell lines through the AKT and ERK1/2 signaling pathways. Additionally, this combination treatment reversed EMT by modulating the expression of key markers such as E-cadherin, vimentin, Snail and MMP-9. To conclude, these results demonstrated that the combination of CUDC-101 with DTX had a synergistic and significantly improved anti-carcinogenic effect. This combination may serve as a potential strategy for clinical treatment and prognosis improvement in PCa.

Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders.

Neurodegenerative disorders, such as Alzheimer's disease (AD), negatively affect the economic and psychological system. For AD, there is still a lack of disease-altering treatments and promising cures due to its complex pathophysiology. In this study, we computationally screened the natural database of fungal metabolites against three known therapeutic target proteins of AD. Initially, a pharmacophore-based, drug-likeness category was employed for screening, and it filtered the 14 (A-N) best hits out of 17,544 fungal metabolites. The 14 best hits were docked individually against GSK-3β, the NMDA receptor, and BACE-1 to investigate the potential of finding a multitarget inhibitor. We found that compounds B, F, and L were immuno-toxic, whereas E, H, I, and J had a higher LD50 dose (5000 mg/kg). Among the examined metabolites, the Bisacremine-C (compound I) was found to be the most active molecule against GSK-3β (ΔG: -8.7 ± 0.2 Kcal/mol, Ki: 2.4 × 106 M-1), NMDA (ΔG: -9.5 ± 0.1 Kcal/mol, Ki: 9.2 × 106 M-1), and BACE-1 (ΔG: -9.1 ± 0.2 Kcal/mol, Ki: 4.7 × 106 M-1). It showed a 25-fold higher affinity with GSK-3β, 6.3-fold higher affinity with NMDA, and 9.04-fold higher affinity with BACE-1 than their native ligands, respectively. Molecular dynamic simulation parameters, such as RMSD, RMSF, Rg, and SASA, all confirmed that the overall structures of the targeted enzymes did not change significantly after binding with Bisacremine-C, and the ligand remained inside the binding cavity in a stable conformation for most of the simulation time. The most significant hydrophobic contacts for the GSK-3β-Bisacremine-C complex are with ILE62, VAL70, ALA83, and LEU188, whereas GLN185 is significant for H-bonds. In terms of hydrophobic contacts, TYR184 and PHE246 are the most important, while SER180 is vital for H-bonds in NMDA-Bisacremine-C. THR232 is the most crucial for H-bonds in BACE-1-Bisacremine-C and ILE110-produced hydrophobic contacts. This study laid a foundation for further experimental validation and clinical trials regarding the biopotency of Bisacremine-C.

Exploring the Binding Effects of Natural Products and Antihypertensive Drugs on SARS-CoV-2: An In Silico Investigation of Main Protease and Spike Protein.

In this in silico study, we conducted an in-depth exploration of the potential of natural products and antihypertensive molecules that could serve as inhibitors targeting the key proteins of the SARS-CoV-2 virus: the main protease (Mpro) and the spike (S) protein. By utilizing Induced Fit Docking (IFD), we assessed the binding affinities of the molecules under study to these crucial viral components. To further comprehend the stability and molecular interactions of the "protein-ligand" complexes that derived from docking studies, we performed molecular dynamics (MD) simulations, shedding light on the molecular basis of potential drug candidates for COVID-19 treatment. Moreover, we employed Molecular Mechanics Generalized Born Surface Area (MM-GBSA) calculations on all "protein-ligand" complexes, underscoring the robust binding capabilities of rosmarinic acid, curcumin, and quercetin against Mpro, and salvianolic acid b, rosmarinic acid, and quercetin toward the S protein. Furthermore, in order to expand our search for potent inhibitors, we conducted a structure similarity analysis, using the Enalos Suite, based on the molecules that indicated the most favored results in the in silico studies. The Enalos Suite generated 115 structurally similar compounds to salvianolic acid, rosmarinic acid, and quercetin. These compounds underwent IFD calculations, leading to the identification of two salvianolic acid analogues that exhibited strong binding to all the examined binding sites in both proteins, showcasing their potential as multi-target inhibitors. These findings introduce exciting possibilities for the development of novel therapeutic agents aiming to effectively disrupt the SARS-CoV-2 virus lifecycle.

Skin Anti-Aging Potentials of Phytochemicals from Peperomia pellucida against Selected Metalloproteinase Targets: An In Silico Approach

Skin aging and wrinkle formation are processes that are largely influenced by the overexpression of enzymes like tyrosinase, elastase, and collagenase. This study aimed to validate the skin anti-aging properties of phytochemicals from Peperomia pellucida (PP) as well as its attendant mechanism of action. Compounds previously characterized from PP were retrieved from the PubChem database and docked to the active sites of tyrosinase, elastase, and collagenase using Schrödinger’s Maestro 11.5 and AutoDock tools to predict compounds with the best inhibitory potential to block these enzymes in preventing skin aging. It was observed that our hit compounds had favorable affinity and displayed key interactions at the active sites of these enzymes similar to those of the standards. With elastase, we observed key interactions with the amino acids in the S1 sub-pocket (especially ALA-181), Zn chelation, and histidine residues, which are key for inhibitory activity and ligand stability. The hit compounds showed H-bonds with the key amino acids of collagenase, including LEU-185 and ALA-186; phlobaphene and patuloside B were found to have better docking scores and inhibition constants (Ki) (−12.36 Kcal/mol, 0.87 nM and −12.06 Kcal/mol, 1.45 nM, respectively) when compared with those of the synthetic reference compound (−12.00 Kcal/mol, 1.67 nM). For tyrosinase, our hit compounds had both better docking scores and Ki values than kojic acid, with patuloside B and procyanidin having the best values of −9.43 Kcal/mol, 121.40 nM and −9.32 Kcal/mol, 193.48 nM, respectively (kojic acid = −8.19 Kcal/mol, 898.03 nM). Based on this study, we propose that acacetin, procyanidin, phlobaphene, patulosides A and B, palmitic acid, and hexahydroxydiphenic acid are responsible for the anti-aging effects of PP on the skin, and that they work synergistically through a multi-target inhibition of these enzymes.

Molecular docking, molecular dynamics and binding free energy based identification of novel potential multitarget inhibitors of Nipah virus

Nipah virus (NiV) is one of the most common viral diseases affecting the brain and nervous system of the body. To date, there is no significant antiviral drug specifically designed to inhibit NiV. In the last ten years, there has been a significant increase in interest in multitarget drug development. Therefore, the reported work focuses on designing a multitarget inhibitor for NiV. Among the twelve designed compounds, five exhibited better drug-likeness and ADMET properties, hence being selected for further analysis. In a molecular docking study, these compounds possessed better binding affinity as compared to Favipiravir. The RMSD of these compounds was ≤2Å and the number of H-bonds signified the better stability of the complexes formed. The ΔGbind of C4, C6 and C7 was found to be comparatively higher than the other screened compounds, revealing their greater ability to bind efficiently with NiV-G, NiV-F and NiV-N receptors, respectively. Therefore, based on molecular docking, molecular dynamics, and MM/PBSA analysis, these compounds can act as potential inhibitors of multitargets of NiV. Communicated by Ramaswamy H. Sarma

A human mucosal melanoma organoid platform for modeling tumor heterogeneity and exploring immunotherapy combination options.

Mucosal melanoma (MM), an aggressive rare subtype of melanoma, is distinct from cutaneous melanoma and has poor prognoses. We addressed the lack of cell models for MM by establishing 30 organoids of human oral MM (OMM), which retained major histopathological and functional features of parental tumors. Organoid groups derived from chronologically or intratumorally distinct lesions within the same individual displayed heterogeneous genetics, expression profiles, and drug responses, indicating rapid tumor evolution and poor clinical response. Furthermore, transcriptome analysis revealed receptor tyrosine kinases (RTKs) signaling, particularly NGFR, a nerve growth factor receptor, was significantly up-regulated in OMMs and organoids from patients resistant to anti-programmed cell death protein 1 (anti-PD-1) therapy. Combining anti-PD-1 with anlotinib (a phase 2 multitarget RTK inhibitor for OMM) or NGFR knockdown enhanced the effective activity of immune cells in organoid-immune cell coculture systems. Together, our study suggested that OMM organoids serve as faithful models for exploring tumor evolution and immunotherapy combination strategies.

Combination of QSAR Modeling and Hybrid-Based Consensus Scoring to Identify Dual-Targeting Inhibitors of PLK1 and p38γ.

Polo-like kinase 1 (PLK1) and p38γ mitogen-activated protein kinase (p38γ) play important roles in cancer pathogenesis by controlling cell cycle progression and are therefore attractive cancer targets. The design of multitarget inhibitors may offer synergistic inhibition of distinct targets and reduce the risk of drug-drug interactions to improve the balance between therapeutic efficacy and safety. We combined deep-learning-based quantitative structure-activity relationship (QSAR) modeling and hybrid-based consensus scoring to screen for inhibitors with potential activity against the targeted proteins. Using this combination strategy, we identified a potent PLK1 inhibitor (compound 4) that inhibited PLK1 activity and liver cancer cell growth in the nanomolar range. Next, we deployed both our QSAR models for PLK1 and p38γ on the Enamine compound library to identify dual-targeting inhibitors against PLK1 and p38γ. Likewise, the identified hits were subsequently subjected to hybrid-based consensus scoring. Using this method, we identified a promising compound (compound 14) that could inhibit both PLK1 and p38γ activities. At nanomolar concentrations, compound 14 inhibited the growth of human hepatocellular carcinoma and hepatoblastoma cells in vitro. This study demonstrates the combined screening strategy to identify novel potential inhibitors for existing targets.

A Workflow Combining Machine Learning with Molecular Simulations Uncovers Potential Dual-Target Inhibitors against BTK and JAK3.

The drug development process suffers from low success rates and requires expensive and time-consuming procedures. The traditional one drug-one target paradigm is often inadequate to treat multifactorial diseases. Multitarget drugs may potentially address problems such as adverse reactions to drugs. With the aim to discover a multitarget potential inhibitor for B-cell lymphoma treatment, herein, we developed a general pipeline combining machine learning, the interpretable model SHapley Additive exPlanation (SHAP), and molecular dynamics simulations to predict active compounds and fragments. Bruton's tyrosine kinase (BTK) and Janus kinase 3 (JAK3) are popular synergistic targets for B-cell lymphoma. We used this pipeline approach to identify prospective potential dual inhibitors from a natural product database and screened three candidate inhibitors with acceptable drug absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. Ultimately, the compound CNP0266747 with specialized binding conformations that exhibited potential binding free energy against BTK and JAK3 was selected as the optimum choice. Furthermore, we also identified key residues and fingerprint features of this dual-target inhibitor of BTK and JAK3.