Structure-based Strategy Research Articles

Importance of Computer-Aided Drug Design in Modern Pharmaceutical Research.

Computer-Aided Drug Design (CADD) approaches are essential in the drug discovery and development process. Both academic institutions and pharmaceutical and biotechnology corporations utilize them to enhance the efficacy of bioactive compounds. This study aims to entice researchers by investigating the benefits of Computer-Aided Drug and Design (CADD) and its fundamental principles. The main focus is to speed up the drug discovery process, improve accuracy, and reduce the time and financial resources needed, ultimately making a positive impact on public health. A comprehensive literature search was conducted using databases such as PubMed and Scopus, focusing on studies published till 2024. The selection of studies was based on their analysis of the connection between contemporary pharmaceutical research and computer-aided drug design, with a focus on both structure-based and ligand-based drug design strategies can include molecular docking, fragment-based drug discovery, de novo drug design, pharmacophore modelling, Quantitative structure-activity relationship, 3D-QSAR, homology modelling, in silico absorption-distribution- metabolism-excretion-toxicity, and machine learning/deep learning. Computer-Aided Drug Design (CADD) approaches are mathematical tools used to modify and measure certain characteristics of possible drug candidates. These methods are implemented in various applications. These encompass a variety of software products that are accessible to the public and can be purchased for corporate use. The CADD method is used at several stages of the drug development process, including as a foundation for chemical synthesis and biological testing. It provides information for the development of future SAR (Structure-Activity Relationship), resulting in enhanced molecules in terms of their activity and ADME (Absorption, Distribution, Metabolism, and Excretion). CADD techniques are predominantly employed to analyze and assess the affinity of large molecules for specific biomolecules, such as DNA, RNA, proteins, and enzymes, which serve exclusively as receptors. CADD improves the selection of lead compounds by predicting various parameters, including drug-likeness, physicochemical properties, pharmacokinetics, and toxicity. The application of CADD in drug modelling is to tackle challenges such as cost and time constraints. Modern computer-assisted drug discovery necessitates conducting virtual screening and high-throughput screening (HTS). Computer-aided drug design plays a crucial role for academic institutions and leading pharmaceutical companies in the development of drugs that enhance potency with the significance of reducing both time and costs.

Structure-guided development of selective caseinolytic protease P agonists as antistaphylococcal agents.

Methicillin-resistant Staphylococcus aureus is a ubiquitous pathogen, posing a serious threat to human health worldwide. Thus, there is a high demand for antibiotics with distinct targets. Caseinolytic protease P (ClpP) is a promising target for combating staphylococcal infections; however, selectively activating S.aureus ClpP (SaClpP) rather than Homo sapiens ClpP (HsClpP) remains challenging. Herein, we rationally design and identify ZG297 by structure-based strategy. It binds and activates SaClpP instead of HsClpP. This is due to differentiated ligand binding attributed to crossed "tyrosine/histidine" amino acid pairs. ZG297 substantially inhibits the growth of a broad panel of S.aureus strains invitro, outperforming the selective (R)-ZG197 agonist. ZG297 also functions as a potent antibiotic against multidrug-resistant S.aureus infections in Galleria mellonella larvae, zebrafish, murine skin, and thigh infection models. Collectively, we demonstrate that ZG297 is a safer and more potent antistaphylococcal agent than acyldepsipeptide 4 and (R)-ZG197.

Isoindolinedione-Benzamide Pyridinium Derivatives for Targeting Alzheimer's Disease.

An Isoindolinedione-benzamide pyridinium derivatives were designed through a structure-based strategy and synthesized as novel multifunctional anti-Alzheimer agents. The inhibitory activities of all 17 derivatives against acetylcholinesterase and butyrylcholinesterase were evaluated. Results exhibited that compound 7j displayed promising AChE inhibitory activity with an IC50 value of 0.26 ± 0.07 μM, and compound 7c exhibited an IC50 value of 0.08 ± 0.01 μM against BChE with 132-fold better inhibitory activity in comparison with positive control. Next, the enzyme kinetics studies and detailed binding mode via molecular docking were performed for the most potent compounds. Additionally, molecular dynamics simulations were accomplished to further investigate the potent compound's interaction, orientation, and conformation over the related enzymes. The neurotoxicity of the most potent derivative was executed against SH-SY5Y, and the mRNA levels of GSK-3α and GSK-3β after treatment with 7c on SH-SY5Y were evaluated. Results exhibited the mRNA levels of GSK-3β were decreased compared to the control group. All these results indicate that 7c is a good starting point for developing a multifunctional anti-Alzheimer compound.

Optimization of SHP2 allosteric inhibitors with novel tail heterocycles and their potential as antitumor therapeutics

SHP2, a non-receptor protein tyrosine phosphatase involved in cancers, plays a pivotal role in numerous cellular signaling cascades, including the MAPK and PD-L1/PD-1 pathways. Although several SHP2 allosteric inhibitors have already entered clinical trials, none have been approved to date. Therefore, the development of new SHP2 allosteric inhibitors with improved efficacy is urgently required. Herein, we report the optimization of tail heterocycles in SHP2 allosteric inhibitors using a structure-based drug design strategy. Four series of compounds with different tail skeletons were synthesized, among which D13 showed notable inhibitory activity (IC50 = 1.2 μM) against SHP2. Molecular docking and binding studies indicated that the newly synthesized compounds exerted enzymatic inhibitory effects by directly binding to SHP2 with relatively slow dissociation rates. At the cellular level, Huh7 cells demonstrated heightened sensitivity to the novel SHP2 inhibitors, and D13 exhibited superior antiproliferative activity (IC50 = 38 μM) by arresting G0/G1 cell cycle, facilitating cell apoptosis and suppressing the MAPK signaling pathway. In the in vivo study, D13 displayed significant antitumor activity in a Huh7 xenograft model and possessed favorable druggability with acceptable oral bioavailability (F = 54 %) and half-life (t1/2 = 10.57 h). Collectively, this study lays a robust foundation for further optimization of the tail heterocycle skeleton in SHP2 allosteric inhibitors.

Exploring the key structural attributes and chemico-biological interactions of pyridinone-based SARS-CoV-2 3CLpro inhibitors through validated structure-based drug design strategies

The global outbreak of COVID-19 infection is the first pandemic the world has experienced in this 21st century. The novel coronavirus 2019 (nCoV-19) also called the SARS-CoV-2 is the reason behind the severe acute respiratory syndrome (SARS) that led to this worldwide crisis. In this current post-pandemic situation, despite having effective vaccines, the paucity of orally administrable drug molecules for such infections is a major drawback in this current scenario. Among the different viral enzymes, the SARS-CoV-2 3CLpro is an encouraging target for effective drug discovery and development. In this context, the understanding of the requirements of the small molecules at the active site and their interactions is a crucial aspect of such drug candidate development. Here in this study, structure-based pharmacophore model development and molecular docking-dependent 2D-interaction-based and 3D-field-based QSAR studies have been carried out for a set of potential SARS-CoV-2 3CLpro inhibitors. This study exposed the importance of interactions with amino acids of the active site (such as Leu167 and Gln189 amino acid residues) as well as the importance of hydrogen bond acceptor groups at the S2 and S1′ pockets. The presence of hydrophobic aromatic features as well as hydrophobic contacts at the S1 and S4 pockets were also found to have a key contribution to the SARS-CoV-2 3CLpro inhibition. Moreover, the screened drug candidate Elobixibat from the structure-based virtual screening also explored promising results as evidenced in MD simulation study and thus, can be a promising drug candidate that can be repurposed to assist in the development of effective anti-SARS-CoV-2 therapy.

Design, Synthesis, and Biological Evaluation of Novel Diaminopyrimidine Macrocycles as Fourth Generation Reversible EGFR Inhibitors That Overcome Clinical Resistance to Osimertinib Mediated by C797S Mutation.

Overcoming clinical resistance to osimertinib mediated by the tertiary C797S mutation remains an unmet medical need. To date, there are no effective drugs that have been approved for patients who harbor EGFRT790M/C797S mutations. Herein, we applied a structure-based drug design strategy to discover a series of potent and selective diaminopyrimidine macrocycles as novel EGFRT790M/C797S inhibitors. The representative compound 21v potently inhibited EGFR19del/T790M/C797S and EGFRL858R/T790M/C797S mutants with IC50 values of 2.3 nM and 12.5 nM, respectively, and exhibited antiproliferative activity against Ba/F3-EGFR19del/T790M/C797S and Ba/F3-EGFRL858R/T790M/C797S cells with IC50 values of 41 and 52 nM, respectively. Further, 21v inhibited proliferation of the EGFR19del/T790M/C797S mutant PC-9-OR NSCLC cell line with an IC50 value of 56 nM and displayed selectivity over parental Ba/F3 and A431 cells. Moreover, 21v exhibited antitumor efficacy in a Ba/F3-EGFR19del/T790M/C797S xenograft model. This study provides a promising macrocyclic lead for anticancer drug discovery overcoming EGFRC797S mutation mediated resistance in NSCLC patients.

Exploring Brazilian Natural Products as Potential Bioactive Compounds against Trypanosoma cruzi by Targeting Squalene Synthase

Introduction: Chagas disease is a neglected disease caused by the protozoan Trypanosoma cruzi that affects 7 million people worldwide. The current treatment is limited due to safety and efficacy issues. Therefore, the search for new antiparasitic drugs is fundamental. The enzyme squalene synthase (SQS) is an attractive therapeutic target since it participates in the ergosterol biosynthesis pathway. Objective: In the present study, we explored the Brazilian biodiversity to search for potential inhibitors of T. cruzi SQS (TcSQS) using ligand and structure-based virtual screening strategies. Materials and Methods: A virtual screening was performed within the NUBBE database, with more than 2,200 natural products (NP) or semisynthetic derivatives from the Brazilian biodiversity. Molecular docking and ADMET predictions were then performed. Results: A set of 12 NP showed interactions with TcSQS like those observed by known inhibitors and shared literature evidence that supports the predicted activity. Conclusion: Three compounds (flavonoids) showed good ADMET properties as potential inhibitors of TcSQS.

Structural elucidation of recombinant Trichomonas vaginalis 20S proteasome bound to covalent inhibitors

The proteasome is a proteolytic enzyme complex essential for protein homeostasis in mammalian cells and protozoan parasites like Trichomonas vaginalis (Tv), the cause of the most common, non-viral sexually transmitted disease. Tv and other protozoan 20S proteasomes have been validated as druggable targets for antimicrobials. However, low yields and purity of the native proteasome have hindered studies of the Tv 20S proteasome (Tv20S). We address this challenge by creating a recombinant protozoan proteasome by expressing all seven α and seven β subunits of Tv20S alongside the Ump-1 chaperone in insect cells. The recombinant Tv20S displays biochemical equivalence to its native counterpart, confirmed by various assays. Notably, the marizomib (MZB) inhibits all catalytic subunits of Tv20S, while the peptide inhibitor carmaphycin-17 (CP-17) specifically targets β2 and β5. Cryo-electron microscopy (cryo-EM) unveils the structures of Tv20S bound to MZB and CP-17 at 2.8 Å. These findings explain MZB’s low specificity for Tv20S compared to the human proteasome and demonstrate CP-17’s higher specificity. Overall, these data provide a structure-based strategy for the development of specific Tv20S inhibitors to treat trichomoniasis.

Discovery and optimization of 4-(imidazo[1,2-a]pyrimidin-3-yl)thiazol-2-amine derivatives as novel phosphodiesterase 4 inhibitors.

Phosphodiesterases (PDEs) are important intracellular enzymes that hydrolyze the second messengers cAMP and/or cGMP. Now several studies have shown that PDE4 received particular attention due to which it represents the most prominent cAMP-metabolizing enzyme involved in many diseases. In this study, we performed prescreening of our internal compound library and discovered the compound (PTC-209) with moderate PDE4 inhibitory activity (IC50 of 4.78 ± 0.08μM). And a series of 4-(imidazo[1,2-a]pyrimidin-3-yl)thiazol-2-amine derivatives as novel PDE4 inhibitors starting from PTC-209 were successfully designed and synthesized using a structure-based discovery strategy. L19, the most potent inhibitor, exhibited good inhibitory activity (IC50 of 0.48 ± 0.02μM) and remarkable metabolic stability in rat liver microsomes. Our study presents an example of discovery novel PDE4 inhibitors, which would be helpful for design and optimization of novel inhibitors in future.

A Structure-Based Design Strategy with Pyrazole-Pyridine Derivatives Targeting TNFα as Anti-Inflammatory Agents: E-Pharmacophore, Dynamic Simulation, Synthesis and In Vitro Evaluation.

Any pathogenic attack, infection, or disease can initiate inflammation. It results in significant adverse consequences like inflammatory bowel disease, rheumatoid arthritis, etc. TNFα is one of the major pro-inflammatory cytokines for the progression of inflammation-the present study designed a series of hybrid compounds consisting of the pyrazole-pyridine moiety. Virtual screening was performed utilizing the e-pharmacophore hypothesis with the co-ligand of TNFα, screening, docking, and ADMET study. Induced fit docking, DFT analysis, and molecular dynamic simulation showed that the four best molecules - Dh1- Dh4-showed crucial interaction with Tyrosine, higher dock scores, and better stability than Diclofenac. Following the synthesis of hit molecules, an in vitro albumin denaturation IC50 of Dh1 was found to be 118.01 μM. Further in-depth in vitro and in vivo analyses of these pyrazole-pyridine small compounds may serve as potential space for creating new anti-inflammatory leads.

Engineering of protein glutaminase for highly efficient modification of fish myofibrillar protein through structure-based and computational-aided strategy

Protein glutaminase (PG; EC 3.5.1.44) is a class of food-grade enzyme with the potential to significantly improve protein functionality. However, its low catalytic activity and stability greatly hindered industrial application. In this study, we employed structural-based engineering and computational-aided design strategies to target the engineering of protein glutaminase PG5, which led to the development of a combinatorial mutant, MT8, exhibiting a specific activity of 31.1 U/mg and a half-life of 216.2 min at 55 °C. The results indicated that the flexible region in MT8 shifted from the C-terminus to the N-terminus, with increased N-terminal flexibility positively correlating with its catalytic activity. Additionally, MT8 notably boosted fish myofibrillar proteins (MPs) solubility under the absence of NaCl conditions and enhanced their foaming and emulsifying properties. Key residues like Asp31, Ser72, Asn121, Asp471, and Glu485 were crucial for maintaining PG5-myosin interaction, with Ser72 and Asn121 making significant energy contributions.

Discovery of Novel Nonpeptidic and Noncovalent Small Molecule 3CLpro Inhibitors as anti-SARS-CoV-2 Drug Candidate.

SARS-CoV-2 has still been threatening global public health with its emerging variants. Our previous work reported lead compound JZD-07 that displayed good 3CLpro inhibitory activity. Here, an in-depth structural optimization for JZD-07 was launched to obtain more desirable drug candidates for the therapy of SARS-CoV-2 infection, in which 54 novel derivatives were designed and synthesized by a structure-based drug design strategy. Among them, 24 compounds show significantly enhanced 3CLpro inhibitory potencies with IC50 values less than 100 nM, and 11 compounds dose-dependently inhibit the replication of the SARS-CoV-2 delta variant. In particular, compound 49 has the most desirable antiviral activity with EC50 of 0.272 ± 0.013 μM against the delta variant, which was more than 20 times stronger than JZD-07. Oral administration of 49 could significantly reduce the lung viral copies of mice, exhibiting a more favorable therapeutic potential. Overall, this investigation presents a promising drug candidate for further development to treat SARS-CoV-2 infection.

Exploring Strategies To Implement Project Management Tools And Techniques Among Startups In Nigeria

There is plethora of evidence in the literature linking the implementation of project management tools and techniques (PMTT) by companies to timely project execution, prevention of cost overrun and efficient project outcomes. However, existing studies have hardly focused on strategies which may contribute to the effectiveness of PMTT at startup companies. This study was motivated to close this knowledge gap. With a descriptive survey design, qualitative data were collected from staff stakeholders of startups based in Lagos, Nigeria. A purposive random sampling technique was used to select 10 stakeholders each from 10 startups, making 100 participants in the study. The retrieval rate was 100% as prior consent of management of each startup was sought before the instrument administration. The data were analysed using a mix of frequency counts, percentages and logistic regression. Findings revealed that performance-based strategy makes PMTT attractive to the company’s employees while the structure-based strategy is more effective to sustain the stakeholder commitment to PMTT. Also, industry-based strategy is important to keep the company and its staff updated of technology-enhanced PMTT. It is therefore recommended that the startup firms should prioritize skills and competencies of staff while deploying the PMTT. More importantly, the firm’s structure and culture should encourage the adoption and implementation of the PMTT by its stakeholders.

Design, synthesis and biological evaluation of novel SIRT3 inhibitors targeting both NAD+ and substrate binding sites for the treatment of acute myeloid leukemia

Acute myeloid leukemia (AML) represents a highly malignant subtype of leukemia with limited therapeutic options. In this study, we propose a novel therapeutic strategy for treating AML by inhibiting SIRT3 to regulate mitochondrial metabolism network involved in energy metabolism and epigenetic modifications essential for AML survival. A series of thieno [3,2-d]pyrimidine-6-carboxamide derivatives were designed and synthesized by structure-based strategy, 17f was documented to be a potent and acceptable selective SIRT3 inhibitor with IC50 value of 0.043 μM and exhibited profound anti-proliferative activity in MOLM13, MV4-11, and HL-60 cells. Through CETSA assay and the degree of deacetylation of intracellular SIRT3 substrates, we confirmed that 17f could effectively bind and inhibit SIRT3 activity in AML cells. Mechanistically, 17f suppressed mitochondrial function, triggered the accumulation of ROS, and significantly inhibited the production of ATP in AML cells. With the breakdown of mitochondrial function, 17f eventually induced apoptosis of AML cells. In addition, 17f also showed excellent anti-AML potential in nude mouse tumor models of HL-60-Luc. Collectively, these results demonstrate that 17f is a potent and acceptable selective SIRT3 inhibitor with promising potential to treat AML.

Structure-based discovery of novel piperidine-biphenyl-DAPY derivatives as non-nucleoside reverse transcriptase inhibitors featuring improved potency, safety, and selectivity: From piperazine-biphenyl-DAPYs to piperidine-biphenyl-DAPYs

Starting from our previously reported nonnucleoside reverse transcriptase inhibitor (NNRTI, 3), continuous efforts were made to enhance its potency and safety through a structure-based drug design strategy. This led to the discovery of a series of novel piperidine-biphenyl-diarylpyrimidines (DAPYs). Compound 10p, the most active compound in this series, exhibited an EC50 value of 6 nM against wide-type HIV-1 strain, which was approximately 560-fold more potent than the initial compound 3 (EC50 = 3.36 μM). Furthermore, significant improvements were observed in cytotoxicity and selectivity (CC50 > 202.17 μM, SI > 33144) compared to compound 3 (CC50 = 14.84 μM, SI = 4). Additionally, compound 10p demonstrated increased inhibitory activity against clinically mutant virus strains (EC50 = 7–63 nM). Further toxicity evaluation revealed that compound 10p exhibited minimal CYP enzyme and hERG inhibition. Importantly, single-dose acute toxicity testing did not result in any fatalities or noticeable pathological damage in mice. Therefore, compound 10p can be regarded as a lead candidate for guiding further development of biphenyl-diarylpyrimidine NNRTIs with favorable druggability for HIV therapy.

Substrate Turnover Dynamics Guide Ketol-Acid Reductoisomerase Redesign for Increased Specific Activity.

The task of adapting enzymes for specific applications is often hampered by our incomplete ability to tune and tailor catalytic functions, particularly when seeking increased activity. Here, we develop and demonstrate a rational approach to address this challenge, applied to ketol-acid reductoisomerase (KARI), which has uses in industrial-scale isobutanol production. While traditional structure-based computational enzyme redesign strategies typically focus on the enzyme-bound ground state (GS) and transition state (TS), we postulated that additionally treating the underlying dynamics of complete turnover events that connect and pass through both states could further elucidate the structural properties affecting catalysis and help identify mutations that lead to increased catalytic activity. To examine the dynamics of substrate conversion with atomistic detail, we adapted and applied computational methods based on path sampling techniques to gather thousands of QM/MM simulations of attempted substrate turnover events by KARI: both productive (reactive) and unproductive (nonreactive) attempts. From these data, machine learning models were constructed and used to identify specific conformational features (interatomic distances, angles, and torsions) associated with successful, productive catalysis. Multistate protein redesign techniques were then used to select mutations that stabilized reactive-like structures over nonreactive-like ones while also meeting additional criteria consistent with enhanced specific activity. This procedure resulted in eight high-confidence enzyme mutants with a significant improvement in calculated specific activity relative to wild type (WT), with the fastest variant's increase in calculated k cat being (2 ± 1) × 104-fold. Collectively, these results suggest that introducing mutations designed to increase the population of reaction-promoting conformations of the enzyme-substrate complex before it reaches the barrier can provide an effective approach to engineering improved enzyme catalysts.

Discovery of novel natural-product-derived mutant isocitrate dehydrogenases 1 inhibitors: Structure-based virtual screening, biological evaluation and structure-activity relationship study

Mutations in IDH1 are commonly observed across various cancers, causing the conversion of α-KG to 2-HG. Elevated levels of 2-HG disrupt histone and DNA demethylation processes, promoting tumor development. Consequently, there is substantial interest in developing small molecule inhibitors targeting the mutant enzymes. Herein, we report a structure-based high-throughput virtual screening strategy using a natural products library, followed by hit-to-lead optimization. Through this process, we discover a potent compound, named 11s, which exhibited significant inhibition to IDH1 R132H and IDH1 R132C with IC50 values of 124.4 and 95.7 nM, respectively. Furthermore, 11s effectively reduced 2-HG formation, with EC50 values of 182 nM in U87 R132H cell, and 84 nM in HT-1080 cell. In addition, 11s significantly reduced U87 R132H and HT-1080 cell proliferation with GC50 values of 3.48 and 1.38 μM, respectively. PK-PD experiments further confirmed that compound 11s significantly decreased 2-HG formation in an HT-1080 xenograft mouse model, resulting in notable suppression of tumor growth without apparent loss in body weight.

Discovery of a novel BTK inhibitor S-016 and identification of a new strategy for the treatment of lymphomas including BTK inhibitor-resistant lymphomas.

Bruton's tyrosine kinase (BTK) has emerged as a therapeutic target for B-cell malignancies, which is substantiated by the efficacy of various irreversible or reversible BTK inhibitors. However, on-target BTK mutations facilitating evasion from BTK inhibition lead to resistance that limits the therapeutic efficacy of BTK inhibitors. In this study we employed structure-based drug design strategies based on established BTK inhibitors and yielded a series of BTK targeting compounds. Among them, compound S-016 bearing a unique tricyclic structure exhibited potent BTK kinase inhibitory activity with an IC50 value of 0.5 nM, comparable to a commercially available BTK inhibitor ibrutinib (IC50 = 0.4 nM). S-016, as a novel irreversible BTK inhibitor, displayed superior kinase selectivity compared to ibrutinib and significant therapeutic effects against B-cell lymphoma both in vitro and in vivo. Furthermore, we generated BTK inhibitor-resistant lymphoma cells harboring BTK C481F or A428D to explore strategies for overcoming resistance. Co-culture of these DLBCL cells with M0 macrophages led to the polarization of M0 macrophages toward the M2 phenotype, a process known to support tumor progression. Intriguingly, we demonstrated that SYHA1813, a compound targeting both VEGFR and CSF1R, effectively reshaped the tumor microenvironment (TME) and significantly overcame the acquired resistance to BTK inhibitors in both BTK-mutated and wild-type BTK DLBCL models by inhibiting angiogenesis and modulating macrophage polarization. Overall, this study not only promotes the development of new BTK inhibitors but also offers innovative treatment strategies for B-cell lymphomas, including those with BTK mutations.

Sequence-Based Viscosity Prediction for Rapid Antibody Engineering.

Through machine learning, identifying correlations between amino acid sequences of antibodies and their observed characteristics, we developed an internal viscosity prediction model to empower the rapid engineering of therapeutic antibody candidates. For a highly viscous anti-IL-13 monoclonal antibody, we used a structure-based rational design strategy to generate a list of variants that were hypothesized to mitigate viscosity. Our viscosity prediction tool was then used as a screen to cull virtually engineered variants with a probability of high viscosity while advancing those with a probability of low viscosity to production and testing. By combining the rational design engineering strategy with the in silico viscosity prediction screening step, we were able to efficiently improve the highly viscous anti-IL-13 candidate, successfully decreasing the viscosity at 150 mg/mL from 34 cP to 13 cP in a panel of 16 variants.

Repurposing DrugBank compounds as potential Plasmodium falciparum class 1a aminoacyl tRNA synthetase multi-stage pan-inhibitors with a specific focus on mitomycin

Plasmodium falciparum aminoacyl tRNA synthetases (PfaaRSs) are potent antimalarial targets essential for proteome fidelity and overall parasite survival in every stage of the parasite's life cycle. So far, some of these proteins have been singly targeted yielding inhibitor compounds that have been limited by incidences of resistance which can be overcome via pan-inhibition strategies. Hence, herein, for the first time, we report the identification and in vitro antiplasmodial validation of Mitomycin (MMC) as a probable pan-inhibitor of class 1a (arginyl(A)-, cysteinyl(C), isoleucyl(I)-, leucyl(L), methionyl(M), and valyl(V)-) PfaaRSs which hypothetically may underlie its previously reported activity on the ribosomal RNA to inhibit protein translation and biosynthesis. We combined multiple in silico structure-based discovery strategies that first helped identify functional and druggable sites that were preferentially targeted by the compound in each of the plasmodial proteins: Ins1-Ins2 domain in Pf-ARS; anticodon binding domain in Pf-CRS; CP1-editing domain in Pf-IRS and Pf-MRS; C-terminal domain in Pf-LRS; and CP-core region in Pf-VRS. Molecular dynamics studies further revealed that MMC allosterically induced changes in the global structures of each protein. Likewise, prominent structural perturbations were caused by the compound across the functional domains of the proteins. More so, MMC induced systematic alterations in the binding of the catalytic nucleotide and amino acid substrates which culminated in the loss of key interactions with key active site residues and ultimate reduction in the nucleotide-binding affinities across all proteins, as deduced from the binding energy calculations. These altogether confirmed that MMC uniformly disrupted the structure of the target proteins and essential substrates. Further, MMC demonstrated IC50 < 5 μM against the Dd2 and 3D7 strains of parasite making it a good starting point for malarial drug development. We believe that findings from our study will be important in the current search for highly effective multi-stage antimalarial drugs.