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The rapid evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) underscores the need for antivirals that are resilient to resistance. Current Food and Drug Administration (FDA)-approved therapies primarily target single viral mechanisms, leaving gaps in efficacy. Here, we developed a Deep Learning-based Activity Screening Model (DLASM), which integrates graph convolutional network with machine learning to identify SARS-CoV-2 inhibitors, using experimental 3-chymotrypsin-like (3CL) main protease assay data. The optimized DLASMs virtually screened ~170,000 compounds from diverse in-house collections and yielded novel hits, several of which not only inhibited the 3CL protease but also blocked viral entry by interfering with heparan sulfate-mediated host interactions. These activities were validated through multiple assays, including 3CL enzymatic inhibition, SARS-CoV-2 pseudotyped particle entry, α-synuclein fibril uptake as a proxy for endocytosis, live virus cytopathic effect, heparan sulfate-dependent entry assay, and a 3D human lung mucociliary tissue model. Molecular docking studies elucidated binding modes at the 3CL protease active site, while molecular dynamics simulations provided insights into compound–heparan sulfate interactions. The identified compounds represent early-stage hits with moderate potency that demonstrate dual-mechanism antiviral activity. Together, these findings establish dual-target inhibition as a promising antiviral strategy, offering not only enhanced potency but also reduced risk of resistance. Moreover, our DLASM framework provides a generalizable pipeline for identifying chemically diverse scaffolds and for broader applications beyond SARS-CoV-2.

In this study, we report the Pictet-Spengler enabled synthesis of a series of eighteen carboxamide-substituted imidazo[1,2- ]quinoxaline derivatives ( ) targeting epidermal growth factor receptor (EGFR) and tubulin. Compounds and exhibited potent antiproliferative effects against MCF-7 breast cancer cells, with IC values of 4.59 ± 0.23 µM and 4.01 ± 0.14 µM, respectively, outperforming erlotinib (IC = 9.39 ± 0.16 µM). In enzymatic assays, and inhibited wild-type EGFR with IC values of 294.45 nM and 383.90 nM, respectively. Notably, displayed microtubule-stabilising activity comparable to that of paclitaxel and induced ROS generation, mitochondrial membrane depolarisation, and G2/M phase cell cycle arrest. Molecular docking and molecular dynamics simulations confirmed stable binding of compounds at the EGFR ATP-binding site and the tubulin taxol-binding site.

Alzheimer’s disease (AD) remains without effective disease-modifying therapies, in part due to the limited efficacy of single-target approaches. Dual modulation of glycogen synthase kinase-3β (GSK3β), a key driver of tau hyperphosphorylation and amyloid-β (Aβ) production, and sirtuin-1 (SIRT1), a neuroprotective NAD + -dependent deacetylase, has emerged as a promising therapeutic strategy. This review explores the mechanistic rationale for concurrently inhibiting GSK3β and activating SIRT1 to disrupt AD’s pathological cascade while enhancing endogenous neuroprotective pathways. Natural compounds such as resveratrol, berberine, pterostilbene, and quercetin exhibit this dual activity and provide scaffolds for rational drug design. However, challenges related to target selectivity, blood-brain barrier penetration, and clinical translation persist. Advances in multi-target drug discovery, including pharmacophore hybridization, structure-based modelling, cheminformatics, nanoformulation and delivery strategies offer new avenues to overcome these hurdles. A dual GSK3β/SIRT1-targeting strategy exemplifies a systems-level approach to restoring neurophysiological balance and holds potential to achieve more effective, disease-modifying outcomes in AD.

Bovine viral diarrhea virus (BVDV), also known as Pestivirus A, causes severe infection mostly in cattle, but also in pigs, sheep and goats, causing huge economical losses on agricultural farms every year. The infections are actually controlled by isolation of persistently infected animals and vaccination, but no antivirals are currently available to control the spread of BVDV on farms. BVDV binds the host cell using envelope protein E2, which has only recently been targeted in the research of a potent and efficient antiviral. In contrast, RdRp has been successfully inhibited by several classes of compounds in the last few decades. As a part of an enduring antiviral research agenda, we designed a new series of derivatives that emerged from an isosteric substitution of the main scaffold in previously reported anti-BVDV compounds. Here, the new compounds were characterized and tested, where several turned out to be potent and selectively active against BVDV. The mechanism of action was thoroughly studied using a time-of-drug-addition assay and the results were validated using docking simulations.