Recent advances in multitarget-directed ligands via in silico drug discovery

Liposome-assisted combination chemotherapy improves the anti-proliferation and anti-angiogenesis response of cisplatin in breast cancer; experimental and computational study

AbstractCombination chemotherapy using liposomes offers a promising approach to overcome chemotherapy resistance and minimize side effects in breast cancer treatment. This study explores the synergistic effects of all-trans-retinoic acid (ATRA) and cinnamaldehyde (CA) combined with cisplatin (CPT) in MDA-MB-231 breast cancer cells. The liposomal formulation, CPT_ATRA_CA, significantly reduced cell proliferation to 25.9 ± 2.8% compared to controls and effectively inhibited angiogenesis. Additionally, it induced apoptosis, as demonstrated by flow cytometry, DAPI staining, and an elevated Bax/Bcl-2 gene expression ratio. Computational analysis via molecular docking and molecular dynamics simulation revealed that ATRA exhibited the highest binding affinity for angiogenin (ANG) with a binding energy of -106.072 kcal/mol. Experimental results, corroborated by computational data, highlight the potent anti-tumor effects of this drug trio. These findings suggest that liposomal delivery of ATRA, CA, and CPT could enhance therapeutic outcomes in breast cancer by targeting multiple pathways synergistically.

A review on pyrimidine-based pharmacophore as a template for the development of hybrid drugs with anticancer potential

The low efficacy and toxicity of traditional chemotherapy, led by drug resistance of targeted anticancer therapies, have mandated the exploration and development of anticancer molecules. In this league, hybrid drugs, owing to their peculiar multitargeted functionality and structural diversity, could serve as vital leads in this quest for drug discovery. They are plausibly found to offer added advantages considering the improved efficacy, low toxicity, and improved patient compliance. Among numerous heterocycles explored, pyrimidine derivatives epitomize as a valuable resource for the hybrid drug development due to their validated efficacy and versatility. The present review discusses the role of pyrimidine, a diversified pharmacophore in drug development and concepts of hybrid drugs. The study covers the recent advancements in pyrimidine-based hybrid pharmacophores. It delves further into the challenges in hybrid drug development and ongoing research in hybrid drug discovery. Furthermore, the challenges faced in developing hybrid molecules, such as their design and optimization complexities, bioavailability and pharmacokinetics issues, target identification and validation, and off-target effects, are discussed.

Modification of Azo-Aminopyrimidines as Potent Multitarget Inhibitors of Insect Chitinolytic Enzymes OfChi-h and OfHex1

Multitarget inhibitors exhibit significant advantages in reducing the risk of drug resistance, enhancing therapeutic efficacy, and minimizing dosage, outperforming multicomponent combination drugs. On the basis of glycoside hydrolase family 18 (GH18) chitinases and GH20 β-N-acetylhexosaminidase using the same substrate-assisted catalytic mechanism and similar substrate binding modes, a series of novel azo-aminopyrimidine compounds have been designed and synthesized as multitarget inhibitors targeting chitinolytic enzymes OfChi-h and OfHex1. Compounds AAP4 (OfChi-h, Ki = 29.3 nM; OfHex1, Ki = 4.9 μM) and AAP16 (OfChi-h, Ki = 32.4 nM; OfHex1, Ki = 7.2 μM) were identified to be potent multitarget inhibitors of these enzymes, which were predicted to occupy the -1 subsite and engage in H-binding interactions with catalytic residues. AAP4 also displayed significant insecticidal activity against lepidopteran pests Ostrinia furnacalis through leaf dipping and pot experiments. In addition, the safety of AAP4 to corn and the natural enemy Trichogramma ostriniae was comprehensively evaluated. This present work indicates that azo-aminopyrimidines, as multitarget inhibitors against chitinolytic enzymes, can be further developed as safe and efficient pest control and management agents.

Multitarget Pharmacology of Sulfur-Nitrogen Heterocycles: Anticancer and Antioxidant Perspectives

Cancer and oxidative stress are interrelated, with reactive oxygen species (ROS) playing crucial roles in physiological processes and oncogenesis. Excessive ROS levels can induce DNA damage, leading to cancer, and disrupt antioxidant defenses, contributing to diseases like diabetes and cardiovascular disorders. Antioxidant mechanisms include enzymes and small molecules that mitigate ROS damage. However, cancer cells often exploit oxidative conditions to evade apoptosis and promote tumor growth. Antioxidant therapy has shown mixed results, with timing and cancer-type influencing outcomes. Multifunctional drugs targeting multiple pathways offer a promising approach, reducing side effects and improving efficacy. Recent research focuses on sulfur-nitrogen heterocyclic derivatives for their dual antioxidant and anticancer properties, potentially enhancing therapeutic efficacy in oncology. The newly synthesized compounds often do not demonstrate both antioxidant and anticancer properties simultaneously. Heterocyclic rings are typically combined with phenyl groups, where hydroxy substitutions enhance antioxidant activity. On the other hand, electron-withdrawing substituents, particularly at the p-position on the phenyl ring, tend to enhance anticancer activity.

Toward structure-multiple activity relationships (SMARts) using computational approaches: A polypharmacological perspective

In the current era of biological big data, which are rapidly populating the biological chemical space, in silico polypharmacology drug design approaches help to decode structure-multiple activity relationships (SMARts). Current computational methods can predict or categorize multiple properties simultaneously, which aids the generation, identification, curation, prioritization, optimization, and repurposing of molecules. Computational methods have generated opportunities and challenges in medicinal chemistry, pharmacology, food chemistry, toxicology, bioinformatics, and chemoinformatics. It is anticipated that computer-guided SMARts could contribute to the full automatization of drug design and drug repurposing campaigns, facilitating the prediction of new biological targets, side and off-target effects, and drug-drug interactions.

In-silico design of novel potential HDAC inhibitors from indazole derivatives targeting breast cancer through QSAR, molecular docking and pharmacokinetics studies

Latest studies confirmed that abnormal function of histone deacetylase (HDAC) plays a pivotal role in formation of tumors and is a potential therapeutic target for treating breast cancer. In this research, in-silico drug discovery approaches via quantitative structure activity relationship (QSAR) and molecular docking simulations were adapted to 43 compounds of indazole derivatives with HDAC inhibition for anticancer activity against breast cancer. The QSAR models were built from multiple linear regression (MLR), and models predictability was cross-validated by leave-one-out (LOO) method. Based on these results, compounds C32, C26 and C31 from model 3 showed superior inhibitory activity with pIC50 of 9.30103, 9.1549 and 9.1549. We designed 10 novel compounds with molecular docking scores ranging from -7.9 to -9.3 kcal/mol. The molecular docking simulation results reveal that amino acid residues ILE1122 and PRO1123 play a significant role in bonding with 6CE6 protein. Furthermore, newly designed compounds P5, P2 and P7 with high docking scores of -9.3 kcal/mol, -8.9 kcal/mol and -8.8 kcal/mol than FDA-approved drug Raloxifene (-8.5 kcal/mol) and aid in establishment of potential drug candidate for HDAC inhibitors. The in-silico ADME functionality is used in the final phase to evaluate newly designed inhibitors as potential drug candidates. The results suggest that newly designed compounds P5, P2 and P7 can be used as a potential anti-breast cancer drug candidate.