Introduction: In the context of pharmacy education worldwide and in Malaysia, the use of digital
technologies to promote higher level thinking and discussions is seen as preparing the millennials as
pharmacists in the 21st century. Together with leveraging on millennials' penchant for mobile
technology, gamified online quizzes as an assessment tool that help promote active and collaborative
learning in a Medicinal Chemistry course have been used. Objectives: This study investigates
students’ perception of the impact of gamified online quizzes on their learning in a Medicinal
Chemistry course. Method: This study employs mix method research comprising descriptive
analysis, content analysis from informal chats and researchers' observation to gather the findings for
the study. Three gamified online quizzes using Quizizz, were implemented outside classroom time,
in place of traditional quizzes. Multiple attempts were allowed within a stipulated time. As
interventions, post-quiz discussions were conducted during class time. Students completed an endof-
the-course survey. Results: Out of 63 respondents, more than 96% felt that the gamified online
quizzes enhanced their learning as they learned from the instant feedback, their mistakes and postquiz
discussions. Overall student performance based on the percentage and accuracy of answering
the quiz improved with time. Student qualitative comments on the survey, the course social media
(closed group) and informal chats supported the findings from the descriptive data analysis of the
study. Conclusions: From students’ perception, the gamified online quizzes were found to be
enjoyable and effective in enhancing active, peer learning in an undergraduate medicinal chemistry
course outside class time. For instructors, the online quiz served as an efficient tool for formative
assessment in a large classroom setting, and could replace traditional classroom quizzes.
Gelatin is commonly used in food supplements and in the form of soft or hard capsules. The source of gelatins is usually from porcine and bovine, and less commonly from vegetable and fish. Nevertheless, these different origins of gelatin have much similarity in term of structures, physicochemical properties and amino acid sequences. Due to these reasons, differentiation of the source of gelatins has been very difficult. In our present study, differentiation of sources of gelatin was made possible in a simplified yet economical method. Sample was prepared using ammonium sulfate precipitation and subjected to gel electrophoresis for protein separation. We have found a fraction of proteins which is able to differentiate porcine and bovine gelatins accurately, with distinctive protein bands in SDS-PAGE at 140 kDa and 110 kDa for bovine and porcine samples, respectively. This method was verified by 13 double-blinded gelatin samples, all the 13 samples were accurately identified.
14-3-3σ plays an important role in controlling tumor metabolic reprogramming and cancer cell growth. However, its function is often compromised in many cancers due to its downregulation. Previous studies found that homodimerization of 14-3-3σ is critical for its activity. However, to date, it is not known if stabilization of 14-3-3σ homodimers can improve its activity or prevent its degradation. In our previous work, we have showed that GCP-Lys-OMe is a potential 14-3-3σ homodimer stabilizer. However, its stabilizing effect was not experimentally validated. Therefore, in this study, we have attempted to predict few potential peptides that can stabilize the dimeric form of 14-3-3σ using similar in silico techniques as described previously for GCP-Lys-OMe. Subsequent [1H]-CPMG NMR experiments confirmed the binding of the peptides (peptides 3, 5, 9, and 16) on 14-3-3σ, with peptide 3 showing the strongest binding. Competitive [1H]-CPMG assays further revealed that while peptide 3 does not compete with a 14-3-3σ binding peptide (ExoS) for the protein's amphipathic groove, it was found to improve ExoS binding on 14-3-3σ. When 14-3-3σ was subjected to dynamic light scattering experiments, the 14-3-3σ homodimer was found to undergo dissociation into monomers prior to aggregation. Intriguingly, the presence of peptide 3 increased 14-3-3σ stability against aggregation. Overall, our findings suggest that (1) docking accompanied by MD simulations can be used to identify potential homodimer stabilizing compounds of 14-3-3σ and (2) peptide 3 can slow down 14-3-3σ aggregation (presumably by preventing its dissociation into monomers), as well as improving the binding of 14-3-3σ to ExoS protein.
14-3-3σ protein is one of the seven isoforms from the highly conserved eukaryotic 14-3-3 protein family. Downregulation of 14-3-3σ expression has been observed in various tumors. TRIM25 is responsible for the proteolytic degradation of 14-3-3σ, in which abrogation of TRIM25 suppressed tumor growth through 14-3-3σ upregulation. However, to date, the exact 14-3-3σ interacting residues of TRIM25 have yet to be resolved. Thus, this study attempts to identify the peptide binding sequence of TRIM25 on 14-3-3σ via both bioinformatics and biophysical techniques. Multiple sequence alignment of the CC domain of TRIM25 revealed five potential peptide binding sequences (Peptide 1-5). Nuclear magnetic resonance (NMR) assay (1H CPMG) identified Peptide 1 as an important sequence for binding to 14-3-3σ. Competition NMR assay suggested that Peptide 1 binds to the amphipathic pocket of 14-3-3σ with an estimated KD of 116.4 µM by isothermal titration calorimetry. Further in silico docking and molecular dynamics simulations studies proposed that Peptide 1 is likely to interact with Lys49, Arg56, Arg129, and Tyr130 residues at the amphipathic pocket of 14-3-3σ. These results suggest that Peptide 1 may serve as a biological probe or a template to design inhibitors of TRIM25-14-3-3σ interaction as a potentially novel class of anticancer agents.Communicated by Ramaswamy H. Sarma.
5-HT(1A) serotonin and D1 dopamine receptor agonists have been postulated to be able to improve negative and cognitive impairment symptoms of schizophrenia, while partial agonists and antagonists of the D2 and 5-HT(2A) receptors have been reported to be effective in reducing positive symptoms. There is therefore a need for well-defined homology models for the design of more selective antipsychotic agents, since no three-dimensional (3D) crystal structures of these receptors are currently available. In this study, homology models were built based on the high-resolution crystal structure of the β(2)-adrenergic receptor (2RH1) and further refined via molecular dynamics simulations in a 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) lipid bilayer system with the GROMOS96 53A6 united atom force field. Docking evaluations with representative agonists and antagonists using AutoDock 4.2 revealed binding modes in agreement with experimentally determined site-directed mutagenesis data and significant correlations between the computed and experimental pK (i) values. The models are also able to distinguish between antipsychotic agents with different selectivities and binding affinities for the four receptors, as well as to differentiate active compounds from decoys. Hence, these human 5-HT(1A), 5-HT(2A), D1 and D2 receptor homology models are capable of predicting the activities of novel ligands, and can be used as 3D templates for antipsychotic drug design and discovery.
Nasopharyngeal carcinoma (NPC) is a distinctive epithelial cancer closely associated with Epstein-Barr Virus (EBV) infection, posing significant challenges in diagnosis and treatment due to its resistance to conventional therapies and high recurrence rates. Current therapies, including radiotherapy and chemotherapy, exhibit limited efficacy, particularly in recurrent or metastatic cases, highlighting the urgent need for novel therapeutic strategies. Targeting EBV oncoproteins, such as Epstein-Barr Virus encoded Nuclear Antigen 1 (EBNA1), Latent Membrane Protein 1 (LMP1), and Latent Membrane Protein 2 (LMP2), presents a promising therapeutic avenue in NPC treatment. This review discusses the latest advancements in drug discovery targeting EBV oncoproteins, emphasizing the identification of inhibitors for specific functional regions of oncoproteins EBNA1, LMP1, and LMP2. Particular attention is given to the molecular mechanisms of these inhibitors and their preclinical or clinical potential in treating EBV-positive NPC. These developments highlight a promising future for targeted therapies in improving outcomes for NPC patients.
Selective blockade of the serotonin 5-HT(2A) receptor is a useful therapeutic approach for a number of disorders, including schizophrenia, insomnia and ischaemic heart disease. A series of aporphines were docked into a homology model of the rat 5-HT(2A) receptor using AutoDock. Selected compounds with high in silico binding affinities were screened in vitro using radioligand-binding assays against rat serotonin (5-HT(1A) and 5-HT(2A)) and dopamine (D1 and D2) receptors. (R)-Roemerine and (±)-nuciferine were found to have high affinity for the 5-HT(2A) receptor (K(i) = 62 and 139 nM, respectively), with (R)-roemerine showing 20- to 400-fold selectivity for the 5-HT(2A) receptor over the 5-HT(1A), D1 and D2 receptors. Investigation into the ligand-receptor interactions suggested that the selectivity of (R)-roemerine is due to it having stronger H-bonding and dipole-dipole interactions with several of the key residues in the 5-HT(2A) receptor-binding site.
Folate receptor alpha (FRα) is known as a biological marker for many cancers due to its overexpression in cancerous epithelial tissue. The folic acid (FA) binding affinity to the FRα active site provides a basis for designing more specific targets for FRα. Heterocyclic rings have been shown to interact with many receptors and are important to the metabolism and biological processes within the body. Nineteen FA analogs with substitution with various heterocyclic rings were designed to have higher affinity toward FRα. Molecular docking was used to study the binding affinity of designed analogs compared to FA, methotrexate (MTX), and pemetrexed (PTX). Out of 19 FA analogs, analogs with a tetrazole ring (FOL03) and benzothiophene ring (FOL08) showed the most negative binding energy and were able to interact with ASP81 and SER174 through hydrogen bonds and hydrophobic interactions with amino acids of the active site. Hence, 100 ns molecular dynamics (MD) simulations were carried out for FOL03, FOL08 compared to FA, MTX, and PTX. The root mean square deviation (RMSD) and root mean square fluctuation (RMSF) of FOL03 and FOL08 showed an apparent convergence similar to that of FA, and both of them entered the binding pocket (active site) from the pteridine part, while the glutamic part was stuck at the FRα pocket entrance during the MD simulations. Molecular mechanics Poisson-Boltzmann surface accessible (MM-PBSA) and H-bond analysis revealed that FOL03 and FOL08 created more negative free binding and electrostatic energy compared to FA and PTX, and both formed stronger H-bond interactions with ASP81 than FA with excellent H-bond profiles that led them to become bound tightly in the pocket. In addition, pocket volume calculations showed that the volumes of active site for FOL03 and FOL08 inside the FRα pocket were smaller than the FA-FRα system, indicating strong interactions between the protein active site residues with these new FA analogs compared to FA during the MD simulations.
Drug targeting is a progressive area of research with folate receptor alpha (FRα) receiving significant attention as a biological marker in cancer drug delivery. The binding affinity of folic acid (FA) to the FRα active site provides a basis for recognition of FRα. In this study, FA was conjugated to beta-cyclodextrin (βCD) and subjected to in silico analysis (molecular docking and molecular dynamics (MD) simulation (100 ns)) to investigate the affinity and stability for the conjugated system compared to unconjugated and apo systems (ligand free). Docking studies revealed that the conjugated FA bound into the active site of FRα with a docking score (free binding energy < -15 kcal/mol), with a similar binding pose to that of unconjugated FA. Subsequent analyses from molecular dynamics (MD) simulations, root mean square deviation (RMSD), root mean square fluctuation (RMSF), and radius of gyration (Rg) demonstrated that FA and FA-βCDs created more dynamically stable systems with FRα than the apo-FRα system. All systems reached equilibrium with stable RMSD values ranging from 1.9-2.4 Å and the average residual fluctuation values of the FRα backbone atoms for all residues (except for terminal residues ARG8, THR9, THR214, and LEU215) were less than 2.1 Å with a consistent Rg value of around 16.8 Å throughout the MD simulation time (0-100 ns). The conjugation with βCD improved the stability and decreased the mobility of all the residues (except residues 149-151) compared to FA-FRα and apo-FRα systems. Further analysis of H-bonds, binding free energy (MM-PBSA), and per residue decomposition energy revealed that besides APS81, residues HIS20, TRP102, HIS135, TRP138, TRP140, and TRP171 were shown to have more favourable energy contributions in the holo systems than in the apo-FRα system, and these residues might have a direct role in increasing the stability of holo systems.
SPRY domain- and SOCS box-containing proteins SPSB1, SPSB2, and SPSB4 interact with inducible nitric oxide synthase (iNOS), causing the iNOS to be polyubiquitinated and targeted for degradation. Inhibition of this interaction increases iNOS levels, and consequently cellular nitric oxide (NO) concentrations, and has been proposed as a potential strategy for killing intracellular pathogens. We previously described two DINNN-containing cyclic peptides (CP1 and CP2) as potent inhibitors of the murine SPSB-iNOS interaction. In this study, we report the crystal structures of human SPSB4 bound to CP1 and CP2 and human SPSB2 bound to CP2. We then used these structures to design a new inhibitor in which an intramolecular hydrogen bond was replaced with a hydrocarbon linkage to form a smaller macrocycle while maintaining the bound geometry of CP2 observed in the crystal structures. This resulting pentapeptide SPSB-iNOS inhibitor (CP3) has a reduced macrocycle ring size, fewer nonbinding residues, and includes additional conformational constraints. CP3 has a greater affinity for SBSB2 ( KD = 7 nM as determined by surface plasmon resonance) and strongly inhibits the SPSB2-iNOS interaction in macrophage cell lysates. We have also determined the crystal structure of CP3 in complex with human SPSB2, which reveals the structural basis for the increased potency of CP3 and validates the original design.