Small structural E protein of coronaviruses uses its C-terminal PDZ motif to compromise the cellular PDZ interactome. In this work we compared core PDZ interactivity of small (seven amino acids) peptide PDZ motifs, originating from the envelope proteins of recently transmitted coronaviruses SARS-CoV, SARS-CoV2, and MERS-CoV. As the interaction targets we used 23 domains of the largest PDZ proteins MUPP1/MPDZ and PATJ/INAD. Results revealed exceptional affinity and interaction promiscuity of MERS-CoV PDZ motif in vitro, suggesting an increased probability of potential PDZ targets in vivo. We hypothesize that together with its known ability to enter the cells from both apical and basolateral sites, this might further contribute to its elevated disruption of cellular PDZ pathways and higher virulence.

The newly emerging SARS-CoV-2 variants are potential threat and posing new challenges for medical intervention due to high transmissibility and escaping neutralizing antibody (NAb) responses. Many of these variants have mutations in the receptor binding domain (RBD) of SARS-CoV-2 spike protein that interacts with the host cell receptor. Rapid mutation in the RBD through natural selection to improve affinity for host receptor and antibody pressure from vaccinated or infected individual will greatly impact the presently adopted strategies for developing interventions. Understanding the nature of mutations and how they impact the biophysical, biochemical and immunological properties of the RBD will help immensely to improve the intervention strategies. To understand the impact of mutation on the protease sensitivity, thermal stability, affinity for the receptor and immune response, we prepared several mutants of soluble RBD that belong to the variants of concern (VoCs) and interest (VoIs) and characterize them. Our results show that the mutations do not impact the overall structure of the RBD. However, the mutants showed increase in the thermal melting point, few mutants were more sensitive to protease degradation, most of them have enhanced affinity for ACE2 and some of them induced better immune response compared to the parental RBD.

SWPs are the major virulence component of microsporidian spores. In microsporidia, SWPs can be found either in exospore or endospore to serve as a putative virulence factor for host cell invasion. SWP5 is a vital protein that involves in exospore localization and supports the structural integrity of the spore wall and this action potentially modulates the course of infection in N. bombycis. Here we report recombinant SWP5 purification using Ni-NTA IMAC and SEC. GFC analysis reveals SWP5 to be a monomer which correlates with the predicted theoretical weight and overlaps with ovalbumin peak in the chromatogram. The raised polyclonal anti-SWP5 antibodies was confirmed using blotting and enterokinase cleavage experiments. The resultant fusion SWP5 and SWP5 in infected silkworm samples positively reacts to anti-SWP5 antibodies is shown in ELISA. Immunoassays and Bioinformatic analysis reveal SWP5 is found to be localized on exospore and this action could indicate the probable role of SWP5 in host pathogen interactions during spore germination and its contribution to microsporidian pathogenesis. This study will support development of a field-based diagnostic kit for the detection N. bombycis NIK-1S infecting silkworms. The analysis will also be useful for the formulation of drugs against microsporidia and pebrine disease.

The resistant and susceptible genotypes of castor were utilized for leaf proteomic study during Fusarium wilt infection. The histopathological study was observed under SEM and it confirmed that the infection of Fusarium oxysporum f. sp. ricini was higher in the root of susceptible JI-35, while incompatible interaction is observed in resistant SKI-215 genotype. The acidic and neutral proteins were maximally up-expressed with 2 to 171 kDa in treated resistant and 2 to 150 kDa in treated susceptible interactions. In resistant genotype, the leaf proteins were recognized with 3.0- and 5.8-fold higher at infection stage and post-infection stage, respectively, as compared to susceptible genotype. The highly up expressions of leaf acidic (4.76 pI) and basic (8.77 pI) proteins were found with 224.94- and 61.68-fold change, respectively during the post-infection stage in treated resistance compared to its control. The protein spots at 4.76 pI and 8.77 pI were characterized with nanoLC–MS Triple TOF and were recognized as signalling molecules small GTP binding protein (23 kDa) and actin (8 kDa), respectively, on the basis of mass spectrometry and peptide sequences. However, basic and neutral proteins were up regulated as 30.11- and 20.30-fold changes in treated susceptible compared to its control. These proteins were identified as HSP90 (10 kDa) and LEA (27 kDa) proteins. The 148 kDa protein is recognized as histidine kinase in incompatible resistant interaction compared to compatible susceptible (serine threonine protein kinase, 65 kDa) as common acidic protein at 3.80 pI during infection stage. Some acidic proteins were maximally up-regulated in the leaf of resistant castor genotype and played a significant role in defense response.

Biological control to prevent fungal plant diseases offers an alternative approach to facilitate sustainable agriculture. Since the chitin in fungal cell walls is a target for biocontrol agents, chitinases are one of the important antifungal molecules. In this study, the aim was to investigate a new chitinase isolated from a fluvial soil bacterium and to show the antifungal activity of the characterized chitinase by comparing the three common methods. The bacterium with the highest chitinase activity was identified as Aeromonas sp. by 16 S rRNA sequence analysis. Following the determination of the optimum enzyme production time, the enzyme was partially purified, and the physicochemical parameters of the enzyme were investigated. In the antifungal studies, direct Aeromonas sp. BHC02 cells or partially purified chitinase were used. As a result, in the first method in which the Aeromonas sp. BHC02 cells were spread on the surface of petri dishes, no zone formation was observed around the test fungi spotted on the surface. However, zone formation was observed in the methods in which the antifungal activity was investigated using the partially purified chitinase enzyme. For example, in the second method, the enzyme was spread on the surface of PDA, and zone formation was observed only around Penicillum species among the test fungi spotted on the surface. In the third method, in which the necessary time was given for the formation of mycelium of the test fungi, it was observed that the growth of Fusarium solani, Alternaria alternata and Botrytis cinerea was inhibited by the partially purified chitinase. This study concludes that the results of the antifungal activities depend on the method used and all fungal chitins cannot be degraded with one strain’s chitinase. Depending on the variety of chitin, some fungi can be more resistant.

COVID-19 is a disease that have affected the entire world, and it continues to spread with new variants. A patient’s innate immune system plays a critical role in the mild and severe transition of COVID-19. Antimicrobial peptides (AMPs), which are important components of the innate immune system, are potential molecules to fight pathogenic bacteria, fungi, and viruses. Human β-defensin 2 (hBD-2), a 41-amino-acid antimicrobial peptide, is one of the defensins inducibly expressed in the skin, lungs, and trachea in humans. In this study, it was aimed to investigate the interaction of hBD-2 produced recombinantly in Pichia pastoris with the human angiotensin-converting enzyme 2 (ACE-2) under in vitro conditions. First, hBD-2 was cloned in P. pastoris X-33 via the pPICZαA vector, a yeast expression platform, and its expression was confirmed by SDS-PAGE, western blotting, and qRT-PCR. Then, the interaction between recombinant hBD-2 and ACE-2 proteins was revealed by a pull-down assay. In light of these preliminary experiments, we suggest that the recombinantly produced hBD-2 may be protective against SARS-CoV-2 and be used as a supplement in treatment. However, current findings need to be supported by cell culture studies, toxicity analyses, and in vivo experiments.

This paper describes the scientific work of Prof. Dr. Herman Berendsen on NMR spectroscopy and includes some personal notes. Since 1975, Berendsen and the author were colleagues in the Physical Chemistry group in Groningen for a period of 12 years.

Background: The health benefits of natural products have a long history. Chaga (Inonotus obliques) is used in traditional medicine and is an essential antioxidant for protecting the body from oxidants. Reactive oxygen species (ROS) are produced routinely due to metabolic processes. However, environmental pollution factors such as methyl tert-butyl ether (MTBE) can increase oxidative stress in the human body. MTBE is widely used as a fuel oxygenator that can harm health. The widespread use of MTBE has posed significant threats to the environment by polluting environmental resources, including groundwater. This compound can accumulate in the bloodstream by inhaling polluted air, with a strong affinity for blood proteins. The primary mechanism of MTBE’s harmful effects is ROS production. The use of antioxidants may help reduce MTBE oxidation conditions. The present study proposes that biochaga, as an antioxidant, can reduce MTBE damage in the bovine serum albumin (BSA) structure. Methods and Results: This study investigated the role of different concentrations of biochaga in the structural change of BSA in the presence of MTBE by biophysical methods such as UV-Vis, fluorescence, FTIR spectroscopy, DPPH radical inhibition method, aggregation test, and molecular docking. Research at the molecular level is critical to investigate the structural change of proteins by MTBE and the protective effect of the ideal dose (2.5 µg/ml) of biochaga. Conclusion: the results of spectroscopic examinations showed that the concentration of 2.5 µg/ml of biochaga has the least destructive effect on the structure of BSA in the presence and absence of MTBE, and it can play as an antioxidant.

Esophageal cancer has a poor prognosis due to its aggressiveness and low survival rate. In Ease Asia, esophageal squamous cell carcinoma (ESCC) outnumbers esophageal adenocarcinoma (EAC). The ESCC patients still have high mortality despite modern surgical resection and neoadjuvant treatment. Determining patient and outcome prognostic factors is critical in ESCC treatment. In esophageal cancer, early growth response-1 (Egr-1) is a tumor suppressor gene, but the mechanism and associated genes are unknown. The study utilizes RNA interference method, the platform of Next Generation Sequencing (NGS) and bioinformatics analysis to investigate the influences after the Egr-1 gene slicing on the ESCC cells. The heat maps of differentially expressed mRNA and microRNAs were analyzed using the algorithm, Burrows-Wheller Aligner. The study showed that the expression of 51 mRNA and 26 microRNAs have significant changes in ESCC cells after Egr-1 knockdown. The KEGG enrichment analysis linked Egr-1-regulated genes and microRNAs. Egr-1 interactions with these genes and microRNAs may be important in tumor progression. In conclusions, this study provided the transcriptome patterns and relating pathway analysis for Egr-1 knockdown in ESCC cells. The mRNA and microRNAs altered by Egr-1 gene silencing might provide key information in the treatment of ESCC.

Cholinesterase enzyme family consists of acetylcholinesterase (AChE, 3.1.1.7), the major enzyme responsible for hydrolysis of acetylcholine at cholinergic synapses, and butyrylcholinesterase (BChE, 3.1.1.8) a detoxification enzyme of plasma. Statins are cholesterol-lowering medications utilized as protective medicaments in stroke and Alzheimer’s disease, which cholinesterases are associated with. Thus, in this study, we characterized the inhibitory effects and mechanisms of common statins, rosuvastatin, atorvastatin, simvastatin and lovastatin, on human erythrocyte AChE and purified serum BChE using in vitro and in silico methods. Kinetic assays identified statins as selective non-competitive inhibitors of human serum BChE. The IC50 and Km values were found as 194.7 ± 55.2 µM and 1.03 ± 0.2 µM for rosuvastatin, 492.5 ± 55.1 µM and 7.2 ± 0.3 µM for atorvastatin, 14.2 ± 0.3 µM and 202.7 ± 23.2 µM for lovastatin, and 17.6 ± 0.1 µM and 207.2 ± 13.2 µM for simvastatin, respectively. The compounds did not display considerable inhibition against AChE. Molecular docking predicted good affinity and strong interactions with the BChE active site for atorvastatin and rosuvastatin. Current study identifies rosuvastatin as the most specific and selective inhibitor of human BChE among the tested statins. As selective inhibitors of BChE statins have the potential to be re-evaluated as medicaments due to their pleiotropic effects.

Glutathione S-Transferase (GST) enzyme is abundant in mammals, insects, fish and microorganisms, as well as in various tissues of these species, particularly in tissues exposed to xenobiotics from the environment. As a result, the enzyme execute detoxifying function by scavenging a diverse range of xenobiotics, such as chemotherapeutic medicines, environmental carcinogens and endogenous compounds. In this study, GST enzyme was partially purified from mallow (Malva slyvestris L.) seed for the first time and the kinetic parameters were determined. The optimum ionic intensity was found in 400 mM Tris-Buffer, optimum pH: 7.0, and optimum substrate concentration was determined as 0.2 mM. One of the biggest reasons for deterioration of ecological balance in nature is heavy metal accumulation in soil, air and water which becomes a major threat to the vital activities of living things. In this study, inhibitory effects of Cd+ 2, Ag+, Zn+ 2 and Fe+ 3 heavy metals, which are common in nature, on mallow seed glutathione S-transferase enzyme were investigated. Each heavy metal showed micromolar inhibitory effects on enzyme activity. IC50 values of the metals were calculated as 60.93, 74.602, 178.22 and 369 µM, respectively.

Influenza A virus hemagglutinin (HA) is a major virus antigen. No cryo-electron microscopy or X-ray data can be obtained for the HA intraviral (cytoplasmic) domain (CT) post-translationally modified with long fatty acid residues bound to three highly conserved cysteines. We recently proposed a model of HA CT of Influenza A/H1N1 virus possessing an antiparallel beta structure based on the experimental secondary structure analysis of four 14–15 amino acid long synthetic peptides, corresponding to the HA CT sequence, with free or acetaminomethylated cysteines. To dispel doubts about possible non-specific “amyloid-like” aggregation of those synthetic peptides in phosphate buffer solution, we have determined the order of oligomers based on blue native gel electrophoresis, membrane filtration, fluorescence spectroscopy and molecular modeling approaches. We have found that unmodified peptides form only low molecular weight oligomers, while modified peptides form both oligomers of low order similar to those found for unmodified peptides and high order conglomerates, which however are not of beta-amyloid-like fold. This study confirms that the beta structure previously detected by circular dichroism spectroscopy analysis is more likely the result of intrinsic propensity of the HA CT amino acid sequence than the consequence of aggregation. The structures of low order oligomers of the synthetic peptides were used for in silico experiments on modeling of HA CT interactions with matrix protein M1 at physiological and acidic pH levels and revealed two different areas of binding. Finally, tripeptides capable of blocking interactions between HA CT and M1 were proposed.

Equine chorionic gonadotropin (eCG) is a glycoprotein hormone widely used in timed artificial ovulation (TAI) and superovulation protocols to improve the reproductive performance in livestock. Until recently, the only eCG products available in the market for veterinary use consisted in partially purified preparations of pregnant mare serum gonadotropin (PMSG). Here, a bioactive recombinant eCG (reCG) produced in suspension CHO-K1 cells was purified employing different chromatographic methods (hydrophobic interaction chromatography and reverse-phase (RP)-HPLC) and compared with a RP-HPLC-purified PMSG. To gain insight into the structural and functional characteristics of reCG, a bioinformatics analysis was performed. An exhaustive characterization comprising the determination of the purity degree, aggregates and nicked forms through SDS-PAGE, RP-HPLC and SEC-HPLC was performed. Higher order structures were studied by fluorescence spectroscopy and SEC-HPLC. Isoforms profile were analyzed by isoelectric focusing. Glycosylation analysis was performed through pulsed amperometric detection and PNGase F treatment following SDS-PAGE and weak anion exchange-HPLC. Slight differences between the purified recombinant hormones were found. However, recombinant molecules and PMSG exhibited variations in the glycosylation pattern. In fact, differences in sialic acid content between two commercial preparations of PMSG were also obtained, which could lead to differences in their biological potency. These results show the importance of having a standardized production process, as occurs in a recombinant protein bioprocess. Besides, our results reflect the importance of the glycan moieties on eCG conformation and hence in its biological activity, preventing denaturing processes such as aggregation.

Recombinant human keratinocyte growth factor (rhKGF) is a highly aggregation-prone therapeutic protein. The present study aimed to reduce aggregation propensity of rhKGF by engineering the aggregation hotspots. Initially, 21 mutants were designed based on the previously-identified aggregation-prone regions (APRs) and then four of them including mutants No. 4 (L91K, I119K), 7 (V13S, L91K), 14 (L91D, I119D), and 21 (A51E) were selected based on molecular dynamics (MD) simulations for further experimental studies. The recombinantly produced rhKGF and mutants were analyzed regarding secondary structure, thermal stability, aggregation propensity, and biological activity. Far-UV CD spectroscopy showed that the mutants have similar secondary structure with rhKGF. A51E mutant showed enhanced stability and decreased monomer loss under heat stress suggesting its reduced aggregation propensity compared to rhKGF. Mutant No. 14 showed higher stability and less aggregation tendency than mutant No. 4 indicating that only mutations decreasing pI of rhKGF are effective in reducing its aggregation tendency. All of the mutants were at least as potent as rhKGF in stimulating proliferation of MCF-7 epithelial cells. Our results identified A51E as an equally potent, more stable, and less aggregation-prone analog of rhKGF which could be a promising alternative drug candidate for the commercially available rhKGF (Palifermin).

To date, there have been no or just a few reports of successful cloning and expression to create biologically active ocins or bacteriocins. Cloning, expression, and production of class I ocins are problematic because of their structural arrangements, coordinated functions, size, and posttranslational modifications. Mass synthesis of these molecules is necessary for commercialization and to restrict the excessive use of conventional antibiotics, which encourages the development of antibiotic-resistant bacteria. In the case of class III ocins, there are no reports of obtaining biological active proteins to date. Being able to obtain biologically active proteins requires an understanding of mechanistic features due to their expanding importance and broad spectrum of activity. As a result, we intend to clone and express the class III type. The class I types that are devoid of posttranslational modifications were transformed into class III through fusion. Therefore, this construct resembles a class III type ocin. With the exception of Zoocin, expression of the proteins was found to be physiologically ineffective after cloning. But, few cell morphological changes such as elongation, aggregation, and the formation of terminal hyphae were observed. However, it was discovered that the target indicator had been altered to Vibrio spp. in a few. All the three ocins were subjected to in-silico structure prediction/analysis. Finally, we confirm the existence of unidentified additional intrinsic factors for successful expression to obtain biologically active protein.

The methods of the α-proton chemical shift index (CSI) and the amide proton (NH) chemical shift temperature coefficient (Δδ/ΔT) were found experimentally by a number of studies on proton NMR chemical shifts of peptides and proteins in an aqueous solution, and have been widely accepted. They provide an insight into secondary structures and intra-molecular hydrogen bonds in peptides and proteins without complex calculation. Our question is whether the methods are applicable to helical peptides in methanol. Melittin, a peptide of 26 amino acid residues found in bee venom, has been known to consist of two helices (the residues 2–11 and 13–26) connected by a kink section (the residues 11–13). Employing the methods for melittin in methanol, we have shown that most of the CSI’s for the residues 3–10 and 14–26 are − 1, and the Δδ/ΔT’s for the residues 5–26 except 6 and 14 are more positive than − 6 ppb/℃. If the methods are applicable to melittin in methanol, these results indicate that helix structures are formed in the regions of the residues 3–10 and 14–26 and NH’s in the residues 5–26 except 6 and 14 are involved in intra-molecular hydrogen bonds. The helical structure evaluated from the methods, hence, agrees nearly with the known helix structure. We also apply the methods to D-Pro14 melittin (synthetic melittin) and alamethicin (a peptide of 20 amino acid residues) in methanol, and show that they virtually work well.

There still is little treatment available for amyloid diseases, despite their significant impact on individuals and the social and economic implications for society. One reason for this is that the physical nature of amyloid formation is not understood sufficiently well. Therefore, fundamental research at the molecular level remains necessary to support the development of therapeutics. A few structures of short peptides from amyloid-forming proteins have been determined. These can in principle be used as scaffolds for designing aggregation inhibitors. Attempts to this end have often used the tools of computational chemistry, in particular molecular simulation. However, few simulation studies of these peptides in the crystal state have been presented so far. Hence, to validate the capability of common force fields (AMBER19SB, CHARMM36m, and OPLS-AA/M) to yield insight into the dynamics and structural stability of amyloid peptide aggregates, we have performed molecular dynamics simulations of twelve different peptide crystals at two different temperatures. From the simulations, we evaluate the hydrogen bonding patterns, the isotropic B-factors, the change in energy, the Ramachandran plots, and the unit cell parameters and compare the results with the crystal structures. Most crystals are stable in the simulations but for all force fields there is at least one that deviates from the experimental crystal, suggesting more work is needed on these models.

Due to the importance of protein-protein interactions in defence mechanism of living body, attempts were made to investigate its attributes, including, but not limited to, binding affinity, and binding region. Contemporary strategies for binding site prediction largely resort to deep learning techniques but turned out to be low precision models. As laboratory experiments for drug discovery tasks utilize this information, increased false positives devalue the computational methods. This emphasize the need to develop enhanced strategies. DeepBindPPI employs deep learning technique to predict the binding regions of proteins, particularly antigen–antibody interaction sites. The results obtained are applied in a docking environment to confirm their correctness. An integration of graph convolutional network with attention mechanism predicts interacting amino acids with improved precision. The model learns the determining factors in interaction from a general pool of proteins and is then fine-tuned using antigen–antibody data. Comparison of the proposed method with existing techniques shows that the developed model has comparable performance. The use of a separate spatial network clearly improved the precision of the proposed method from 0.4 to 0.5. An attempt to utilize the interface information for docking using the HDOCK server gives promising results, with high-quality structures appearing in the top10 ranks.

My memories of professor Herman Berendsen cover roughly two periods during which I had many contacts with him. Between 1966 and 1973 I was his MSc student and later his PhD student in the Department of Biophysical Chemistry at the University of Groningen. The second period started in 1991 when I returned to the University of Groningen as a professor of environmental sciences.