Silico Investigation Research Articles

Promising Action of Cannabinoids on ER Stress-Mediated Neurodegeneration: An In Silico Investigation.

Neurodegeneration has been recognized as a clinical episode characterized by neuronal death, including dementia, cognitive impairment and movement disorder. Most of the neurodegenerative deficits, via clinical symptoms, includes common pathogenic features as protein misfolding and aggregation. Therefore, the focus highlights the cellular organelle endoplasmic reticulum (ER) critically linked with the quality control and protein homeostasis. Unfolded protein response (UPR) or ER stress have also been considered as hallmarks for neurodegenerative disorders. It has been implicated that the levels of endocannabinoids (ECB) could rise at the platform of neurodegeneration. In addition, phytocannabinoids (PCB) including cannabidiol (CBD) could also initiate the IRE1, PERK, XBP-1, and ATF6, pathways that could lead to the degradation of the misfolded proteins and termination of protein translation. Thus, our aim was to determine if cannabinoids bind to these ER arm proteins involved in UPR by molecular docking and therefore determine its drug resemblance through ADME analysis. In our study, three cannabinoid receptors (CB1, CB2, and CB3) were considered to demonstrate their neuroprotective actions. The chosen ligands were screened as PCB (Δ9-tetrahydrocannabinol or THC), CBD, and two ECB, anandamide (AEA) and 2-arachidonoylglycerol (2-AG). The current findings have advocated that the cannabinoids and their molecular targets have shown considerable binding and their ADME properties also reveals that they possess moderate drug-like properties making it as a valuable option for the treatment and management of neurodegenerative diseases.

In Vitro and In Silico Investigation of some Type II TA Genes in H. Pylori.

In addition to antibiotic resistance, the entry of Helicobacter pylori into the persistence phase leads to recurrent and chronic infections, as well as the development of antibiotic resistance in persister cells. In this study, after genetic confirmation of H. pylori in 20 biopsy specimens, the prevalence of the type II TA systems mazEF, relEB, yafQ/dinJ was investigated. Also, the most common system observed in the study in terms of structure, evolution, and molecular interaction was evaluated by bioinformatics tools. The results of the PCR test on 20 biopsy samples were positive for ureA and glmM genes. Moreover, yafQ/ dinJ was the only module positive in half of the samples (10 samples) in the PCR technique. The toxin residues and their interactions with the cognate antitoxin residues are revealed by docking analysis results. Furthermore, the multiple sequence alignment (MSA) of the YafQ toxin showed that this toxin has a low polymorphism among H. pylori species. The evolutionary study showed that the yafQ toxin had the highest sequence similarity among the bacteria Helicobacter cetorm (60% similarity) and Muricauda olearia (57.35 % similarity). Collectively, the data of the present study indicate that the YafQ/DinJ is the dominant type II TA system and has the highest frequency among the studied systems in H. pylori, and further studies are required to elucidate its exact role in this bacterium.

In Silico Investigation of the Biological Implications of Complex DNA Damage with Emphasis in Cancer Radiotherapy through a Systems Biology Approach.

Different types of DNA lesions forming in close vicinity, create clusters of damaged sites termed as “clustered/complex DNA damage” and they are considered to be a major challenge for DNA repair mechanisms resulting in significant repair delays and induction of genomic instability. Upon detection of DNA damage, the corresponding DNA damage response and repair (DDR/R) mechanisms are activated. The inability of cells to process clustered DNA lesions efficiently has a great impact on the normal function and survival of cells. If complex lesions are left unrepaired or misrepaired, they can lead to mutations and if persistent, they may lead to apoptotic cell death. In this in silico study, and through rigorous data mining, we have identified human genes that are activated upon complex DNA damage induction like in the case of ionizing radiation (IR) and beyond the standard DNA repair pathways, and are also involved in cancer pathways, by employing stringent bioinformatics and systems biology methodologies. Given that IR can cause repair resistant lesions within a short DNA segment (a few nm), thereby augmenting the hazardous and toxic effects of radiation, we also investigated the possible implication of the most biologically important of those genes in comorbid non-neoplastic diseases through network integration, as well as their potential for predicting survival in cancer patients.

In Silico Investigation of Propolis Compounds as Potential Neuroprotective Agent

Alzheimer's disease is a neurodegenerative disorder caused by several factors, namely neuroinflammation, neuronal apoptosis, and low levels of neurotransmitter Acetylcholine. MAPK14, TNF-α, IL-1β, and NF-KB are proteins that are directly involved in the neuroinflammatory signaling pathway. Caspase3 is involved in neuronal apoptosis, and AChE act as a neurotransmitter breakdown catalyst. In this study, docking analysis of propolis compounds was successfully done against six proteins related neurodegenerative. The results show that 18 compounds of propolis have a better binding affinity than standard drugs (donepezil, huperzine A, fostamatinib, and amrinone). For AChE, only isoetin has a lower binding affinity than donepezil. Isoetin was also observed to inhibit the Caspase3, MAPK14, NF-kB, and TNF-α. In silico prediction of the blood-brain barrier (BBB) permeant revealed that three propolis compounds could pass the BBB, they are isoetin; 5,7,8,3′,4′-pentamethoxy flavone; and flavenochromane C. 5,7,8,3′,4′-pentamethoxy flavone can strongly bind to NF-kB and TNF-α, while Flavenochromane C potentially inhibits MAPK14, NF-kB, and TNF-α better than standard drugs. These compounds are firstly reported as neuroprotective agents. They can be further explored and could be used as a backbone molecule to develop a new treatment for neurodegenerative diseases.

In Silico Investigation on the Beneficial Effects of Medicinal Plants on Diabetes and Obesity: Molecular Docking, Molecular Dynamic Simulations, and ADMET Studies

Currently, obesity leads to health problems, including type 2 diabetes. These two diseases are closely linked. Despite the spectacular development of the synthesis of active ingredients and chemotherapy, we have not ceased to be interested in medicinal and aromatic plants, their effects, indications, and methods of use. Thus, we see that the number of herbal medicine or plant substances is growing in a very important way. The present study was carried out on the chemical structures of 16 plants, whose existence could help reduce obesity and its complications. Through molecular docking methods, ADMET, and molecular dynamics. Due to the interaction, and good stability, we have found that quercetin may have the obesity treatment.

A Boron Delivery Antibody (BDA) with Boronated Specific Residues: New Perspectives in Boron Neutron Capture Therapy from an In Silico Investigation.

Boron Neutron Capture Therapy (BNCT) is a tumor cell-selective radiotherapy based on a nuclear reaction that occurs when the isotope boron-10 (10B) is radiated by low-energy thermal neutrons or epithermal neutrons, triggering a nuclear fission response and enabling a selective administration of irradiation to cells. Hence, we need to create novel delivery agents containing 10B with high tumor selectivity, but also exhibiting low intrinsic toxicity, fast clearance from normal tissue and blood, and no pharmaceutical effects. In the past, boronated monoclonal antibodies have been proposed using large boron-containing molecules or dendrimers, but with no investigations in relation to maintaining antibody specificity and structural and functional features. This work aims at improving the potential of monoclonal antibodies applied to BNCT therapy, identifying in silico the best native residues suitable to be substituted with a boronated one, carefully evaluating the effect of boronation on the 3D structure of the monoclonal antibody and on its binding affinity. A boronated monoclonal antibody was thus generated for specific 10B delivery. In this context, we have developed a case study of Boron Delivery Antibody Identification Pipeline, which has been tested on cetuximab. Cetuximab is an epidermal growth factor receptor (EGFR) inhibitor used in the treatment of metastatic colorectal cancer, metastatic non-small cell lung cancer, and head and neck cancer.

Antioxidant and Anti-Inflammatory Activity of Cynanchum acutum L. Isolated Flavonoids Using Experimentally Induced Type 2 Diabetes Mellitus: Biological and In Silico Investigation for NF-κB Pathway/miR-146a Expression Modulation.

Cynanchum acutum L. is a climbing vine that belongs to the family Apocynaceae. Using different chromatographic techniques, seven compounds were isolated from the methanolic extract of the plant. The isolated compounds include six flavonoid compounds identified as rutin (1), quercetin-3-O-neohesperidoside (2), quercetin-3-O-β-galactoside (3), isoquercitrin (4), quercetin (5), and kaempferol 3-O-β-glucoside (6), in addition to a coumarin, scopoletin (7). The structures of the compounds were elucidated based on 1D NMR spectroscopy and high-resolution mass spectrometry (HR-MS), and by comparison with data reported in the literature. The first five compounds were selected for in vivo investigation of their anti-inflammatory and antioxidant properties in a rat model of type 2 diabetes. All tested compounds significantly reduced oxidative stress and increased erythrocyte lysate levels of antioxidant enzymes, along with the amelioration of the serum levels of inflammatory markers. Upregulation of miR-146a expression and downregulation of nuclear factor kappa B (NF-κB) expression were detected in the liver and adipose tissue of rats treated with the isolated flavonoids. Results from the biological investigation and those from the validated molecular modeling approach on two biological targets of the NF-κB pathway managed to highlight the superior anti-inflammatory activity of quercetin-3-O-galactoside (3) and quercetin (5), as compared to other bioactive metabolites.

Fibrotic Remodeling during Persistent Atrial Fibrillation: In Silico Investigation of the Role of Calcium for Human Atrial Myofibroblast Electrophysiology.

During atrial fibrillation, cardiac tissue undergoes different remodeling processes at different scales from the molecular level to the tissue level. One central player that contributes to both electrical and structural remodeling is the myofibroblast. Based on recent experimental evidence on myofibroblasts’ ability to contract, we extended a biophysical myofibroblast model with Ca2+ handling components and studied the effect on cellular and tissue electrophysiology. Using genetic algorithms, we fitted the myofibroblast model parameters to the existing in vitro data. In silico experiments showed that Ca2+ currents can explain the experimentally observed variability regarding the myofibroblast resting membrane potential. The presence of an L-type Ca2+ current can trigger automaticity in the myofibroblast with a cycle length of 799.9 ms. Myocyte action potentials were prolonged when coupled to myofibroblasts with Ca2+ handling machinery. Different spatial myofibroblast distribution patterns increased the vulnerable window to induce arrhythmia from 12 ms in non-fibrotic tissue to 22 ± 2.5 ms and altered the reentry dynamics. Our findings suggest that Ca2+ handling can considerably affect myofibroblast electrophysiology and alter the electrical propagation in atrial tissue composed of myocytes coupled with myofibroblasts. These findings can inform experimental validation experiments to further elucidate the role of myofibroblast Ca2+ handling in atrial arrhythmogenesis.

Identification of Novel Drug Candidate for Epithelial Ovarian Cancer via In Silico Investigation and In Vitro Validation.

Epithelial ovarian cancer (EOC) has a poor prognosis and high mortality rate; patients are easy to relapse with standard therapies. So, there is an urgent need to develop novel drugs. In this study, differentially expressed genes (DEGs) of EOC were identified in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Enrichment and protein–protein interaction (PPI) analyses were performed. The drug candidate which has the possibility to treat EOC was predicted by Connectivity Map (CMAP) databases. Moreover, molecular docking was selected to calculate the binding affinity between drug candidate and hub genes. The cytotoxicity of drug candidates was assessed by MTT and colony formation analysis, the proteins coded by hub genes were detected by Western blots, and apoptosis analysis was evaluated by flow cytometry. Finally, 296 overlapping DEGs (|log 2 fold change|>1; q-value <0.05), which were principally involved in the cell cycle (p < 0.05), and cyclin-dependent kinase 1 (CDK1) were screened as the significant hub gene from the PPI network. Furthermore, the 21 drugs were extracted from CMAPs; among them, piperlongumine (PL) showed a lower CMAP score (-0.80, -62.92) and was regarded as the drug candidate. Furthermore, molecular docking results between PL and CDK1 with a docking score of –8.121 kcal/mol were close to the known CDK1 inhibitor (–8.24 kcal/mol). Additionally, in vitro experiments showed that PL inhibited proliferation and induced apoptosis via targeting CDK1 in EOC SKOV3 cells. Our results reveal that PL may be a novel drug candidate for EOC by inhibiting cell cycle.

In Vitro and In Silico Investigation of Water-Soluble Fullerenol C60(OH)24: Bioactivity and Biocompatibility.

Light fullerenes, C60 and C70, have significant potential in biomedical applications due to their ability to absorb reactive oxygen species, inhibit the development of tumors, inactivate viruses and bacteria, and as the basis for developing systems for targeted drug delivery. However, the hydrophobicity of individual fullerenes complicates their practical use; therefore, creating water-soluble derivatives of fullerenes is increasingly important. Currently, the most studied soluble adducts of fullerenes are polyhydroxy fullerenes or fullerenols. Unfortunately, investigations of fullerenol biocompatibility are fragmental. They often lack reproducibility both in the synthesis of the compounds and their biological action. We here investigate the biocompatibility of a well-defined fullerenol C60(OH)24 obtained using methods that minimize the content of impurities and quantitatively characterize the product's composition. We carry out comprehensive biochemical and biophysical investigations of C60(OH)24 that include photodynamic properties, cyto- and genotoxicity, hemocompatibility (spontaneous and photo-induced hemolysis, platelet aggregation), and the thermodynamic characteristics of C60(OH)24 binding to human serum albumin and DNA. The performed studies show good biocompatibility of fullerenol C60(OH)24, which makes it a promising object for potential use in biomedicine.

Multi-Tissue Transcriptomic-Informed In Silico Investigation of Drugs for the Treatment of Dengue Fever Disease.

Transcriptomics, proteomics and pathogen-host interactomics data are being explored for the in silico–informed selection of drugs, prior to their functional evaluation. The effectiveness of this kind of strategy has been put to the test in the current COVID-19 pandemic, and it has been paying off, leading to a few drugs being rapidly repurposed as treatment against SARS-CoV-2 infection. Several neglected tropical diseases, for which treatment remains unavailable, would benefit from informed in silico investigations of drugs, as performed in this work for Dengue fever disease. We analyzed transcriptomic data in the key tissues of liver, spleen and blood profiles and verified that despite transcriptomic differences due to tissue specialization, the common mechanisms of action, “Adrenergic receptor antagonist”, “ATPase inhibitor”, “NF-kB pathway inhibitor” and “Serotonin receptor antagonist”, were identified as druggable (e.g., oxprenolol, digoxin, auranofin and palonosetron, respectively) to oppose the effects of severe Dengue infection in these tissues. These are good candidates for future functional evaluation and clinical trials.

In Silico Investigation on the Interaction of Chiral Phytochemicals from Opuntia ficus-indica with SARS-CoV-2 Mpro

Opuntia ficus-indica is a cactaceous plant native to America but, nowadays, widely found worldwide, having been the most common domesticated species of cactus grown as a crop plant in semiarid and arid parts of the globe, including several Mediterranean basin countries. Opuntia ficus-indica can be regarded as a medicinal plant, being source of numerous bioactive phytochemicals such as vitamins, polyphenols, and amino acids. The urgent need for therapeutic treatments for the COronaVIrus Disease 19 (COVID-19), caused by the Severe Acute Respiratory Syndrome (SARS)-Coronavirus (CoV)-2, justifies the great attention currently being paid not only to repurposed antiviral drugs, but also to natural products and herbal medications. In this context, the anti-COVID-19 utility of Opuntia ficus-indica as source of potential antiviral drugs was investigated in this work on the basis of the activity of some of its phytochemical constituents. The antiviral potential was evaluated in silico in docking experiments with Mpro, i.e., the main protease of SARS-CoV-2, that is one of the most investigated protein targets of therapeutic strategies for COVID-19. By using two web-based molecular docking programs (1-Click Mcule and COVID-19 Docking Server), we found, for several flavonols and flavonol glucosides isolated from Opuntia ficus-indica, good binding affinities for Mpro, and in particular, binding energies lower than −7.0 kcal/mol were predicted for astragalin, isorhamnetin, isorhamnetin 3-O-glucoside, 3-O-caffeoyl quinic acid, and quercetin 5,4′-dimethyl ether. Among these compounds, the chiral compound astragalin showed in our in silico studies the highest affinity for Mpro (−8.7 kcal/mol) and also a low toxicity profile, emerging, thus, as an interesting protease inhibitor candidate for anti-COVID-19 strategies.

In Silico Investigation of Potential Applications of Gamma Carbonic Anhydrases as Catalysts of CO2 Biomineralization Processes: A Visit to the Thermophilic Bacteria Persephonella hydrogeniphila, Persephonella marina, Thermosulfidibacter takaii, and Thermus thermophilus.

Carbonic anhydrases (CAs) have been identified as ideal catalysts for CO2 sequestration. Here, we report the sequence and structural analyses as well as the molecular dynamics (MD) simulations of four γ-CAs from thermophilic bacteria. Three of these, Persephonella marina, Persephonella hydrogeniphila, and Thermosulfidibacter takaii originate from hydrothermal vents and one, Thermus thermophilus HB8, from hot springs. Protein sequences were retrieved and aligned with previously characterized γ-CAs, revealing differences in the catalytic pocket residues. Further analysis of the structures following homology modeling revealed a hydrophobic patch in the catalytic pocket, presumed important for CO2 binding. Monitoring of proton shuttling residue His69 (P. marina γ-CA numbering) during MD simulations of P. hydrogeniphila and P. marina’s γ-CAs (γ-PhCA and γ-PmCA), showed a different behavior to that observed in the γ-CA of Escherichia coli, which periodically coordinates Zn2+. This work also involved the search for hotspot residues that contribute to interface stability. Some of these residues were further identified as key in protein communication via betweenness centrality metric of dynamic residue network analysis. T. takaii’s γ-CA showed marginally lower thermostability compared to the other three γ-CA proteins with an increase in conformations visited at high temperatures being observed. Hydrogen bond analysis revealed important interactions, some unique and others common in all γ-CAs, which contribute to interface formation and thermostability. The seemingly thermostable γ-CA from T. thermophilus strangely showed increased unsynchronized residue motions at 423 K. γ-PhCA and γ-PmCA were, however, preliminarily considered suitable as prospective thermostable CO2 sequestration agents.

In Silico Investigation of the New UK (B.1.1.7) and South African (501Y.V2) SARS-CoV-2 Variants with a Focus at the ACE2-Spike RBD Interface.

SARS-CoV-2 exploits angiotensin-converting enzyme 2 (ACE2) as a receptor to invade cells. It has been reported that the UK and South African strains may have higher transmission capabilities, eventually in part due to amino acid substitutions on the SARS-CoV-2 Spike protein. The pathogenicity seems modified but is still under investigation. Here we used the experimental structure of the Spike RBD domain co-crystallized with part of the ACE2 receptor, several in silico methods and numerous experimental data reported recently to analyze the possible impacts of three amino acid replacements (Spike K417N, E484K, N501Y) with regard to ACE2 binding. We found that the N501Y replacement in this region of the interface (present in both the UK and South African strains) should be favorable for the interaction with ACE2, while the K417N and E484K substitutions (South African strain) would seem neutral or even unfavorable. It is unclear if the N501Y substitution in the South African strain could counterbalance the K417N and E484K Spike replacements with regard to ACE2 binding. Our finding suggests that the UK strain should have higher affinity toward ACE2 and therefore likely increased transmissibility and possibly pathogenicity. If indeed the South African strain has a high transmission level, this could be due to the N501Y replacement and/or to substitutions in regions located outside the direct Spike–ACE2 interface but not so much to the K417N and E484K replacements. Yet, it should be noted that amino acid changes at Spike position 484 can lead to viral escape from neutralizing antibodies. Further, these amino acid substitutions do not seem to induce major structural changes in this region of the Spike protein. This structure–function study allows us to rationalize some observations made for the UK strain but raises questions for the South African strain.

Genome-wide Analysis of WRKY Transcription Factors Family in Chickpea (Cicer arietinum L.)

Background: Chickpea (Cicer arietinum L.) is used as a protein source across the world. In plants WRKY transcription factors play an important role in regulation of stress resistance. An attempt was made to analyze WRKY genes in chickpea using genomic data.Methods: In this In Silico investigation during 2018-2019, to analyze the WRKY genes in chickpea using genomic data. iTak database are used to obtain gene data. Bioinformatics tools were used to analyzed the chickpea genomic data.Result: This study reported 61 Car WRKY genes, located on the seven main chromosomes of chickpea. Great variations were reported in terms of protein length, molecular weight, grand average of hydropathicity (GRAVY) value and theoretical isoelectric points of Car WRKYs. Gene Structure Display Server (GSDS) demonstrated that the Car WRKY 56 gene lack introns. Phylogenetic analysis of Car WRKY proteins divided in three main groups (I, II and III); group II was divided into three subgroups like IIa, IIb and IIc. By this an attempt has made to provide novel information on Car WRKY genes to study abiotic stress mechanism in chickpea.

Phytochemical Screening, Chemical Composition, Antimicrobial Activity and in Silico Investigation of the Essential Oil of Coleus forskohlii L. Collected from the Southwestern Region of Saudi Arabia

This study aimed to investigate the phytochemical constituents, chemical composition, and antimicrobial activity of the essential oil isolated from the leaves of C. forskohlii plants and performed theoretical in silico calculations for selected chemical components identified in the obtained essential oil. The collected C. forskohlii leaves were air-dried and treated with ethanol, chloroform, ethyl acetate, n-butanol, and petroleum ether. The extracted essential oil was subjected to GC/MS analysis to determine its chemical composition and was screened in vitro for antimicrobial activity against gram-positive and gram-negative bacteria, and Candida albicans fungus strains. Phytochemical analysis revealed the presence of flavonoids, alkaloids, tannins, terpenoids, steroids, saponins, and sugars. Twenty-five compounds were identified with thymol (52.02 %), γ-terpinene (18.70 %) and o-cymene (12.73 %), as the major components. 2-Undecanone (2.57 %), 6-methyl-2-heptanol, acetate (1.50 %), (+) -4-carene (1.47 %) and caryophyllene oxide (1.36 %) were detected in small quantities. The essential oil showed a significant effect against the bacterial and fungal strains with inhibition zones in the range of 19-20.33 mm (p<0.001). The results indicated that the essential oil extracted from C. forskohlii leaves is rich in phytochemical constituents of pharmaceutical importance as a broad-spectrum antimicrobial agent. Moreover, the in silico pharmacokinetic study indicated that some of the selected molecules had high GI absorption and all molecules examined in the screening processes showed good bioavailability with a score of 0.55. Additionally, the results suggest a more favorable drug-likeness of the examined selected molecules.

Synthesis, Biological Evaluation and In Silico Investigation of Novel Functionalized Imidazole-Based KDM6 Inhibitors

Epigenetic markers of the cellular genome are major controllers of the transcriptional level of various genes in physiological and pathological states. These markers are written and erased by epigenetic factors which have been recently studied as potential therapeutic targets of various disease states. Histone lysine demethylases are an example of these epigenetic factors. The subfamily number 6 of these enzymes (KDM6) are an understudied group of histone demethylases which have been recently connected to cancers and inflammation. In this work, we conducted a rational and computer-aided approach to design and synthesize KDM6 inhibitors. The designed inhibitors are imidazole-based and are functionalized with variable metal-chelating group to be able to chelate the active site ferrous ion. One of the synthesized compounds, compound 6, was able to inhibit KDM6-expressing cancer cell lines by more than 50%. Molecular docking studies suggest that this compound is able to achieve important active site interactions and coordinate the active site metal through a tridentate interaction. Furthermore a correlation was established between the structural features and CLogP of the tested compounds and their activity. These results represent a promising starting point for the future development of novel KDM6 inhibitors with higher potency.

In Silico Investigation of Electronic Structure, Binding Patterns and Molecular Docking of Nevirapine: An anti-HIV Type-1 Drug

Nevirapine is used in the treatment of Human Immunodeficiency Virus Type 1 (HIV-1) infection. The structure of nevirapine belongs to the dipyridodiazepinone class of chemical. In the present work, molecular geometries of nevirapine drug, AU and GC base pairs have been optimized by DFT method with B3LYP/6-31G(d,p) basis set. The MEP and HOMO-LUMO surfaces have been scanned at 0.001 electron/Bohr3 isodensity surface. Further, HOMO-LUMO energies have been used to calculate ionization potential, electron affinity, electronegativity, global hardness and softness parameters of the drug molecule as well as AU and GC base pairs. IR and Raman spectra of the drug molecule have been analyzed in the light of standard data. Results obtained from NBO analysis have been analyzed in terms of the hybridization of atoms and electronic structure of drug molecule. Binding patterns of the drug molecule with nucleic acid base pairs (AU and GC) have been examined using second order perturbation theory valid at intermediate range. Efforts have been made to elucidate the chemical and biological properties of the drug. The inhibition activity of the drug molecule against HIV-1 reverse transcriptase (Y2NG) in complex with inhibitor GSK560 has been examined with the help of molecular docking. It has been observed that nevirapine prefers to bind in the guanine-cytosine rich region of nucleic acid helices. Further, there exists gross similarity between calculated vibrational assignment and the standard data as reported in the literature.

In Silico Investigation: Opening Doors to Novel Thymidylate Synthase Inhibitors

Introduction: Lung cancer is presumed to be the most notable cause of morbidity and impermanency in human beings caused by uncontrolled cell proliferation of lung tissue which results in abrupt synthesis of DNA. Methods: Prevention of DNA synthesis can show distinctive effect on lung cancer by utilizing Thymidylate synthase (TS), a key rate-limiting enzyme in the DNA synthesis process. However, the available finite aggregate of clinically approved blockers and their corresponding side effects lead to the urgent origination of novel inhibitors. Results and Discussion: In silico approaches (QSAR and molecular docking) have been accomplished to discover new potential inhibitors of TS providing a new strategy to evolve novel thymidylate synthase inhibitors functional in lung cancer. Conclusion: In the present study chemical features of a series of compounds alongside their activities alternating over numerous orders of magnitudes was utilized to generate QSAR models, and these could be further employed to predict the activity of new designed compounds. 3D‒QSAR kNNSW based model with decent statistical data having q2 approximately 95% (internal validation) and 80% (external validation) has validated the importance of steric feature. Further docking analysis using D‒score and ligand receptor interactions indicated that all the studied compounds are well accommodated in the binding pocket of TS and disparities in the activity are controlled by hydrogen and hydrophobic interactions.

In Silico Investigation of Signal Peptide Sequences to Enhance Secretion of CD44 Nanobodies Expressed in Escherichia coli.

The selection of a suitable signal peptide that can direct recombinant proteins from the cytoplasm to the extracellular space is an important criterion affecting the production of recombinant proteins in Escherichia coli, a widely used host. Nanobodies are currently attracting the attention of scientists as antibody alternatives due to their specific properties and feasibility of production in E. coli. CD44 nanobodies constitute a potent therapeutic agent that can block CD44/HA interaction in cancer and inflammatory diseases. This molecule may also function as a drug against cancer cells and has been produced previously in E. coli without a signal peptide sequence. The goal of this project was to find a suitable signal peptide to direct CD44 nanobody extracellular secretion in E. coli that will potentially lead to optimization of experimental methods and facilitate downstream steps such as purification. We analyzed 40 E. coli derived signal peptides retrieved from the Signal Peptide database and selected the best candidate signal peptides according to relevant criteria including signal peptide probability, stability, and physicochemical features, which were evaluated using signalP software version 4.1 and the ProtParam tool, respectively. In this in silico study, suitable candidate signal peptide(s) for CD44 nanobody secretory expression were identified. CSGA, TRBC, YTFQ, NIKA, and DGAL were selected as appropriate signal peptides with acceptable D-scores, and appropriate physicochemical and structural properties. Following further analysis, TRBC was selected as the best signal peptide to direct CD44 nanobody expression to the extracellular space of E. coli. The selected signal peptide, TRBC is the most suitable to promote high-level secretory production of CD44 nanobodies in E. coli and potentially will be useful for scaling up CD44 nanobody production in experimental research as well as in other CD44 nanobody applications. However, experimental work is needed to confirm the data.