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The neuromuscular disorders may be hereditary, autoimmune, and in some cases with unknown etiology. These diseases are characterized by progressive course, muscle weakness, and in an advanced stage with binding the patient to a wheelchair. This group includes a number of diseases, but from the dental perspective, the most interesting are muscular dystrophy, multiple sclerosis and myasthenia gravis. Neuromuscular disorders affect the oral cavity and the impact on oral hygiene procedures should be monitored with great attention.

Protein functional annotation requires time and effort, while sequencing technologies are fast and cheap. For this reason, the development of software tools aimed at predicting protein function from sequences can help in protein annotation. In this paper, we describe how to use our recently implemented Bologna Annotation Resource (BAR) version 3.0, a tool based on over 30 million protein sequences for protein structural and functional annotation. In BAR 3.0, sequences are arranged in a similarity graph and then clustered together when they share at least 40% sequence identity over 90% of sequence alignment, for a total of 1,361,773 clusters. Protein sequences with known function transfer their annotation to other sequences in the same cluster after statistical validation. Sequences with unknown function and new sequences entering in a cluster inherit its statistically validated annotations. The method well compares to other techniques in the Critical Assessment of protein Function Annotation algorithms (CAFA). The CAFA experiment tests the performances of different predictors on a dataset that accumulates annotations over time. BAR predictions have been submitted to all the instances of CAFA through the years (BAR Plus in CAFA, BAR++ in CAFA2 and BAR 3.0 in CAFA3). The benchmarking indicates that in the field improvement is still possible and that our BAR scores among the top performing methods. This work focuses on how the tool can transfer statistically significant features to poorly annotated or new sequences derived from transcrptomics or proteomics experiments. 

This review gives a brief introduction to the microarray technology and its experimental design and data analysis and a discussion of recent global progress in research using microarray technology in fish biology and aquaculture. DNA microarrays have been reported to have been used for the analysis of gene expression during various physiological, developmental or cellular processes in fish. During the recent past, investigators have begun to use microarrays on fish to address ecological, evolutionary and environmental questions including the variability of gene expression in natural populations, speciation, ecotype diversity, environmental remediation and host-pathogen interactions. The study suggests that a lot of gene expression studies have been conducted on salmon and zebrafish in Europe and USA. The same may be applied on Indian Major Carps and Catfishes to augment productivity from aquaculture sector. 

Direct bonding of a lingual retainer is challenging because it requires a long working time on the lingual aspect of the anterior teeth. Due to no direct vision there is a risk of contamination from saliva and moisture, which can cause bond failure; and it is difficult to apply the adhesive exactly where it is needed. The indirect method described in this article shows an easy way to increase better-quality bonding of the retainer

ATPases is known to be a crucial in many biological activities of organisms. In this study, physicochemical properties and modeling of ATPases protein of fish was analysed using In silico approach. ATPases a protein selected from fish species, including Gold fish (Carassius auratus auratus), Zebra fish (Hypancistrus zebra), White fishes (Coregonus autumnalis), Grass carp (Ctenopharyngodon idella) and Anabas testudineus (Koi) were used in this study. Physicochemical characteristics showed with molecular weight (25045.58-25148.57Da), theoretical isoelectric point (9.30-9.97), extinction coefficient(26470-34950), aliphatic index(147.31-150.35), instability index(32.84-42.67), total number of negatively charged residues and positively charged residues (5/7-6/8), and grand average of hydropathicity (1.014-1.151) were computed. All proteins were classified as transmembrane proteins. In secondary structure prediction, all proteins were composed of random coils as predominant, followed by extended strands, alpha helix and beta turn. Three dimensional structure of protein were predicted and verified as good structures. All model structures were evaluated being accepted and reliable based on structural evaluation and stereo chemical analysis.

The bio-energy released by the hydrolysis of adenosine triphosphate, which relate to plenty of life activities and is transported in a solution, and its theory of transport are first stated and built in helix protein molecule. In order to confirm and verify the correctness of the transported theory we here systematically summarized and reviewed a great number of experimental investigation and evidences obtained by us and other researchers in past 30 years, involving the real existences of the solution and its features and lifetimes. In this survey we outlined and presented concretely the features of infrared spectra of absorption, Raman spectra and specific heat of the molecular crystal-acetanilide collagen, bivine serum albumin, myoglobin proteins and E.Coli. cell as well as the lifetimes of the solution in acetanilide and myoglobin measured by using pump-probe techniques and free-electron laser experiment, in which we give not only experimental data but also their comparisons with theoretical results. These experimental data and evidences provided here are enough to verify and affirm the true existences of the new solution, which can complete itself functions of bio-energy transport in the lifetime, and the correctness of the new theory of bio-energy transport in the acetanilide and protein molecule. Thus we can affirm the correctness of theory of the bio-energy transport in helix protein molecule, which can greatly promote the development of molecular biology.

Background: An infectious disease caused by a novel coronavirus called COVID-19 has raged across the world since December 2019. The novel coronavirus first appeared in Wuhan, China, and quickly spread to Asia and now many countries around the world are affected by the epidemic. The deaths of many patients, including medical staff, caused social panic, media attention, and high attention from governments and world organizations. Today, with the joint efforts of the government, the doctors and all walks of life, the epidemic in Hubei Province has been brought under control, preventing its spread from affecting the lives of the people. Because of its rapid spread and serious consequences, this sudden novel coronary pneumonia epidemic has become an important social hot spot event. Through the analysis of the novel coronary pneumonia epidemic situation, we can also have a better understanding of sudden infectious diseases in the future, so that we can take more effective response measures, establish a truly predictable and provide reliable and sufficient information for prevention and control model. Methods: We establish different models according to the different developments of the epidemic situation, different time points, and different response measures taken by the government. To be specific, during the period of 2020.1.23-2020.2.7, the traditional SIR model is adopted; during the period of 2020.2.8-2020.3.30, according to the scientific research results, it was considered that the novel coronary pneumonia has a latent period, so in the later phase of epidemic development, the government has effectively isolated patients, thus we adopt the SEIQR model accordingly. During the period of 2020.3.31-2020.5.16, because more asymptomatic infected people were found, we use the SEIQLR model to fit. Finally, through a SEIR simulator, considering the susceptible number, the latent number, the infected number, the cured number, death number and other factors, we simulate the change of various numbers of people from the beginning to the next 180 days of novel coronary pneumonia. Findings: The results based on the analysis of differential equations and kinetic models show that through the prediction of the model established in the first phase, the epidemic situation of novel coronary pneumonia in Hubei Province was controlled at the end of March, which is in line with the actual situation. The rest of Hubei province, except for Wuhan, lifted control of the departure channel from 0:00 am on March 25, and Wuhan was also unblocked on April 8. Through the establishment of the second-phase model, it is found that the epidemic situation will reach its peak in mid-February. For example, the quarantine admission of the hospital declined after mid-February, which is inseparable from the measures to build square cabin hospitals in early February so that more and more patients can be admitted. The model established in the third phase shows that the epidemic had been completely controlled by the end of May, which is also in line with the reality. Because in mid-May, the Wuhan government conducted a nucleic acid test on all the citizens to screen for asymptomatic infected persons to fundamentally control the spread of novel coronary pneumonia. Interpretation: Hubei Province, as the center of the initial outbreak of novel coronary pneumonia, people were forced to be isolated at home during the Spring Festival, the most important Chinese holiday, and the whole society was in a state of suspension of work and study. The Chinese government had taken many measures in response to the epidemic, such as shutting down the city, vigorously building square cabin hospitals, and prohibiting people from gathering. At the beginning of May this year, the epidemic in Hubei Province was finally effectively controlled. For ordinary citizens, we should not cause unnecessary panic about the unknown novel coronavirus. Instead, we should fully understand and be familiar with this virus. In addition to the relevant medical knowledge, we should also understand the spread of infectious diseases through appropriate mathematical models. By mathematical models, we can understand the degree of harm of infectious diseases, when to control it, how to stop it, and use scientific views to reveal the original face of the novel coronavirus to the public without causing social panic.

Objectives: To evaluate the colour stability of 3 recently developed resin based materials continuously exposed to various staining agents. Methods: 144 disc-shaped specimens were made of each of the 3 tested composites (Essentia, Brillant, Inspiro). Half of them were of 1mm thickness, the other half 1.2mm thickness. The thicker group was than polished up to 4000 grit and reduced to 1mm thickness, too. All specimens after 24 h dry storage in an incubator (INP-500, Memmert), received an initial colour measurement by means of a calibrated reflectance spectrophotometer (SpectroShade, MHT, Niederhasli, Switzerland). Specimens were then divided into 6 groups (n=6) and immersed in 5 staining solutions or artificial saliva (control). All specimens were kept in an incubator at 37°C for 28 days. Staining solutions (red wine, curry mixed water, curry mixed oil, tea and coffee) were changed every 7th day to avoid bacteria or yeast contamination. After 28 days of storage spectrophotometric measurements were repeated and L*a*b* scores once more recorded to determine the colour (ΔE00) changes. Results: All tested materials showed significant color changes after 28 days staining immersion. When considered over a black background ΔE00 of polished samples varied from 1.7 (Brillant/distilled water) to 24.1 (Brillant/wine). When considered over a white background ΔE00 of polished samples varied from 1.1 (Essentia/distilled water) to 32.5 (Inspiro/wine). When considered over a black background ΔE00 of unpolished samples varied from 1.1 (Essentia, Inspiro/distilled water) to 25.8 (Essentia/wine). When considered over a white background ΔE00 of unpolished samples varied from 1.4(Inspiro/distilled water) to 33.1 (Inspiro/wine). Conclusions: Staining of restorative materials seems to be dependent on the composition of the product itself. Unpolished samples demonstrated to be more prone to staining than the polished ones

Post-translational modification (PTM) refers to the covalent and enzymatic modification of proteins during or after protein biosynthesis. In the protein biosynthesis process, the ribosomal mRNA is translated into polypeptide chains, which may further undergo PTM to form the product of mature protein [1]. PTM is a common biological mechanism of both eukaryotic and prokaryotic organisms, which regulates the protein functions, the proteolytic cleavage of regulatory subunits or the degradation of entire proteins and affects all aspects of cellular life. The PTM of a protein can also determine the cell signaling state, turnover, localization, and interactions with other proteins [2]. Therefore, the analysis of proteins and their PTMs are particularly important for the study of heart disease, cancer, neurodegenerative diseases and diabetes [3,4]. Although the characterization of PTMs gets invaluable insight into the cellular functions in etiological processes, there are still challenges. Technically, the major challenges in studying PTMs are the development of specific detection and purification methods.

Based on different properties of structure of helical protein molecules some theories of bio-energy transport along the molecular chains have been proposed and established, where the energy is released by hydrolysis of adenosine triphosphate (ATP). A brief survey of past researches on different models and theories of bio-energy, including Davydov’s, Brown et al’s, Schweitzer’s, Cruzeiro-Hansson’s, Forner‘s and Pang’s models were first stated in this paper. Subsequently we studied and reviewed mainly and systematically the properties and stability of the carriers (solitons) transporting the bio-energy at physiological temperature 300K in Pang’s and Davydov’s theories. However, these theoretical models including Davydov’s and Pang’s model were all established based on a periodic and uniform proteins, which are different from practically biological proteins molecules. Therefore, it is very necessary to inspect and verify the validity of the theory of bio-energy transport in really biological protein molecules. These problems were extensively studied by a lot of researchers and using different methods in past thirty years, a considerable number of research results were obtained. I here reviewed the situations and progresses of study on this problem, in which we reviewed the correctness of the theory of bio-energy transport including Davydov’s and Pang’s model and its investigated progresses under influences of structure nonuniformity and disorder, side groups and imported impurities of protein chains as well as the thermal perturbation and damping of medium arising from the biological temperature of the systems. The structure nonuniformity arises from the disorder distribution of sequence of masses of amino acid residues and side groups and imported impurities, which results in the changes and fluctuations of the spring constant, dipole-dipole interaction, exciton-phonon coupling constant, diagonal disorder or ground state energy and chain-chain interaction among the molecular channels in the dynamic equations in different models. The influences of structure nonuniformity, side groups and imported impurities as well as the thermal perturbation and damping of medium on the bio-energy transport in the proteins with single chain and three chains were studied by differently numerical simulation technique and methods containing the average Hamiltonian way of thermal perturbation, fourth-order Runge-Kutta method, Monte Carlo method, quantum perturbed way and thermodynamic and statistical method, and so on. In this review the numerical simulation results of bio-energy transport in uniform protein molecules, the influence of structure nonuniformity on the bio-energy transport, the effects of temperature of systems on the bio-energy transport and the simultaneous effects of structure nonuniformity, damping and thermal perturbation of proteins on the bio-energy transport in a single chains and helical molecules were included and studied, respectively. The results obtained from these studies and reviews represent that Davydov’s soliton is really unstable, but Pang’s soliton is stable at physiologic temperature 300K and underinfluences of structure nonuniformity or disorder, side groups, imported impurities and damping of medium, which is consistent with analytic results. Thus we can still conclude that the soliton in Pang’s model is exactly a carrier of the bio-energy transport, Pang’s theory is appropriate to helical protein molecules.

Successful implant restoration is depending on an adequate surgical and prosthetic protocol. In the last few years an increase in Peri-Implantitis has been attributed, in part, to the excess cement left around the implant collar and threads, leading in many cases to bone loss and even the complete failure of the implant treatment [1-5]. This article will attempt: 1. To describe a proper cementation protocol for cement-retained implant restorations to reduce cement induced implant failures, and 2. To review the alternative implant restorative options to cement-retained crowns such as screw-retained restorations, screwless and cementless implant restorations, screw-retained-cemented implant crown, angulated screw channel restorations, the lingual locking screw-retained restorations and the multi-unit abutment restorations.

At present Corona virus is the most burning topic across the world. At present there is no drug available to cure 100%. So many companies are trying to make it possible as soon as they can. The basic characteristics of the product is “Non-Toxic made of sugars Carbohydrates”. A Galectin is a protein that recognizes carbohydrates and modulates intracellular and extracellular interactions primarily related to the immune system. In some cases Galectins act as a glue bringing molecules together. The major focus of the research is on extracellular interactions.

Laccase catalyzes oxidation of lignin and aromatic compound with similar structure to this one. Their low substrate specificity results on degradation of similar phenolic compounds. In this context, Molecular Docking was performed with different ligands suggesting potential bio-degradation. Binding active-sites prediction of fungal laccase (access number uniprotkb: A0A166P2X0), from Ganoderma weberianum was performed using machine learning algorithm based on Deep Convolutional Neural Networks (DeepSite-CNNs chemoinformatic tool). Herein, ligands like 2,4 - dichlorophenol, benzidine, sulfisoxazole, trimethoprim and tetracycline were analyzed and two additional reference controls which were 2,2 – azinobis 3 – ethylbenzothiazoline – 6 - sulfonic acid (ABTS) and 2,6 - dimetoxyphenol (2,6 DMP) were used in comparison with the other former mentioned ligands based on high laccase affinity. The five ligands were carried out because their potential biotechnological interest: the antibiotics sulfisoxazole, trimethoprim and tetracycline, and xenobiotics 2,4 - dichlorophenol and benzidine. Molecular docking experiments returned Gibbs free energy of binding (FEB or affinity) for laccase-ligand complexes. The best docking binding-interaction from each laccase-ligand conformation complexes suggest great ability of these ligands to interact with the laccase active-binding site. Herein, FEB values (kcal/mol) were obtained with higher affinity values for reference controls like 2,6 - dimethoxyphenol with -4.8 Kcal/mol and ABTS with -7.1 Kcal/mol. Furthermore, the FEB values were -4.7, -6.5, -6.8, -5.2 and -6.5 Kcal/mol, for 2,4 - dichlorophenol, benzidine, sulfisoxazole, tetracycline and trimethoprim respectively with high prevalence of hydrophobic interaction with functional laccase binding residues. Lastly, this study presents for first time at the bioinformatics field a molecular docking approach for the prediction of potential substrate of laccase from Ganoderma weberianum towards biotechnological application.

Background: Hypertension is the leading cause of cardiovascular diseases and premature deaths. Hypertension plays a striking role in mortality and morbidity in case of Coronavirus Disease 2019 (COVID-19) infection; however, numerous studies have reported contradictory findings. Objective: To assess the relationship of hypertensive disease and mortality of COVID-19 infection and to assess the sex and age differentials on the association. Methods: We have conducted a systematic review of published literatures that identified the relationship between hypertension and mortality of COVID-19 infections. Nineteen articles were selected following structured inclusion and exclusion criteria for systematic review and analyses. A total of 21,684 hospital admitted COVID-19 patients were included in this review and meta-analysis from 19 studies. The studies covered the six months of the pandemic from December 2019 to May 2020. Results: In the pooled analysis, the median age of patients was 58 years, and the proportion of male patients was 58.8%. In contrast, we estimated 33.26% of hypertensive and 19.16% of diabetes mellitus patients in the studies. Hypertension was found to be associated with COVID-19 mortality (“Risk ratio (RR) = 1.45, [95% confidence interval (CI): 1.35 - 1.55]; I2 = 77.1%, p - value < 0.001”). The association in the meta-regression was affected by sex (p - value = 0.050). The association was found to be stronger in the studies with males ≥ 55% and age ≥ 55 years (“RR = 1.65, [95% CI: 1.52 - 1.78]; I2 = 77.1%, p - value < 0.001”) compared to male < 55% or age < 55 years (“RR = 1.11, [95% CI: 0.94 - 1.28]; I2 = 72.2%, p - value < 0.001”). Conclusion: Hypertension was significantly strong associated with COVID-19 mortality which may account for the contradiction in the many studies. The association between hypertension and mortality was affected by sex and there were significantly higher fatalities among older male patients. 

Background: Mechanical chronic neck pain is very common musculoskeletal dysfunction among people, manifesting one or more pain-induced movements and disability impairments. Clinical guidelines suggest passive cervical mobilization and thoracic manipulation as manual therapy interventions. Mulligan concept has positive effect in patients with lumbar and thoracic spine mechanical chronic pain. Study objective was to investigate possible clinical effects of Mulligan techniques in patients with cervical pain according to pain and disability status. Methods: forty participants diagnosed with mechanical chronic cervical pain, randomly assigned into experimental and control group. NAG, SNAG and self-SNAG joint mobilization in a nine-sessions protocol implemented to the study group, while SHAM-Mulligan techniques applied to control group. Self-reported questionnaires Numeric Pain Rating scale (NPRT) and Neck Disability Index (NDI) were used for the measurement of pain and disability levels respectively. Possible Interactions among Factors (TIME X GROUP) and simple effects in three-time measurements of pre, post and one-month follow-up concerning NDI and NPRS variables, were detected with Mixed-ANOVA test. Results: Baseline scores of pain and disability resulted in no differences between groups. A significant Group and Time factors interaction founded and simple main effects analysis showed that Mulligan concept-group had significant improvement in post-intervention NPRT and NDI scores (p<.001), compared to baseline scores. Follow-up also differed compared to post-treatment score (p<.001). SHAM-Mulligan control group had no significant differences in dependent variables at any level of TIME factor (p>.001). Significant differences were found between groups according to second and third measurement phase (p<.001). Conclusion: Our findings suggest that Mulligan concept techniques improve symptoms of pain and disability in chronic mechanical neck pain patients in short and mid-term effect level. Summary: Mobilization techniques of SNAGs, NAGS and self-SNAGs reduces pain and improve function in patients with mechanical neck pain. Taken into consideration the safety and simplicity of application, future studies are encourage to examine the underline mechanism of action.

Background: Klebsiella pneumoniae is a bacterial species that often causes infections in humans. Infections occur most frequently in hospitalised or immunocompromised patients and are treated with antimicrobials. In recent decades, K. pneumoniae has developed significant resistance to many antimicrobials. Objective: The main goal of this study was to determine the frequency of resistance of isolated K. pneumoniae strains from urine samples of hospital patients and outpatients, and to find evidence of ESBL strains and their resistance to certain antibiotics. Methods: During the study period, Klebsiella pneumonia was isolated from the urine samples of 430 patients. The procedure for processing of urine samples, identification, susceptibility toward antimicrobials and evidence of ESBL strains were carried out according to the recommended standards. Results: Of the total K. pneumoniae isolates, 153 (35.6%) were isolated from hospital patients and 277 (64.4%) from outpatients. Strains isolated from hospital patients were resistant to each tested antibiotic. ESBL strains were detected in 169 (39.30%) samples, 92 (60.13%) from hospital patients and 77 (27.8%) from outpatients. Conclusion: Strains of K. pneumoniae isolated from the urine of hospital patients and outpatients have developed significant resistance against all tested antibiotic substances. A higher occurrence of ESBL strains was observed in hospital patients than in outpatients. ESBL strains were resistant to all penicillins and almost all cephalosporins. Highly effective antimicrobials were amikacin, colistine, carbapenem and fosfomycin. The best therapeutic results were achieved when patients were treated with fosfomycin and imipenem.

Aim and objective: Dentistry for children is not difficult but is different from what is practiced for adults. The children reacts to differently to people and places around them. Anxiety is an emotional state that helps normal individual defend themselves against a variety of threats and Dental anxiety refers to patients specific response towards dental suitation-associated stress. so the aim is to evaluate the anxiety related management of the children using intellectual mind game of the individual Study design: The background of the study is to evaluate and study the effectiveness of anxiety control of children using colour distraction between 5 and 12 yrs of age group as one part and the intellectual distraction of children between the same age group using buchanan facial imaging scale and intellectual coloured game chart Results and conclusion: lowering of anxiety was noticed in the children obtained the favorite colours in the dental environment and easy distraction can be achieved using intellectual gamings.

Genetic datasets have a large number of features that may significantly affect the disease classification process, especially datasets related to cancer diseases. Evolutionary algorithms (EA) are used to find the fastest and best way to perform these calculations, such as the bat algorithm (BA) by reducing the dimensions of the search area after changing it from continuous to discrete. In this paper, a method of gene selection was proposed two sequent stages: in the first stage, the fuzzy mutual information (FMI) method is used to choose the most important genes selected through a fuzzy model that was built based on the dataset size. In the second stage, the BBA is used to reduce and determine a fixed number of genes affecting the process of classification, which came from the first stage. The proposed algorithm, FMI_BBA, describes efficiency, by obtaining a higher classification accuracy and a few numbers of selected genes compared to other algorithms.

The sequence-independent, single-primer amplification (SISPA) enables the random amplification of nucleic acids, allowing the detection and genome sequencing of different viral agents. This feature of SISPA method provides evidence for application of it in monitoring the presence of adventitious RNA viruses in cell cultures. We evaluated SISPA method for the detection of a challenge RNA virus representing adventitious agent in cell cultures. Besides, by optimizing the SISPA method in our laboratory, we found false-positive results on negative control lanes in electrophoresis gels. To investigate the sources of contamination, false-positive results of SISPA were cloned into Escherichia coli cells, sequenced, and phylogenetically analyzed. This data revealed that the SISPA method can be used as an adjunct method to confirm the absence of unexpected adventitious RNA viruses in cell cultures. The phylogenetic analysis of SISPA contaminant sequences showed that the false-positive results were caused by nucleic acid amplification of commercial cDNA synthesis kit reagents, probably tracing back to expression plasmids and host ribosomal sequences, used for the production of enzymes. Therefore, laboratories using random amplification methods must be constantly aware of the potentials of such contaminations, yielding false-positive results and background noise in the final NGS reads.

In the classification of cancer data sets, we note that they contain a number of additional features that influence the classification accuracy. There are many evolutionary algorithms that are used to define the feature and reduce dimensional patterns such as the gray wolf algorithm (GWO) after converting it from a continuous space to a discrete space. In this paper, a method of feature selection was proposed through two consecutive stages in the first stage, the fuzzy mutual information (FMI) technique is used to determine the most important feature selection of diseases dataset through a fuzzy model that was built based on the data size. In the second stage, the binary gray wolf optimization (BGWO) algorithm is used to determine a specific number of features affecting the process of classification, which came from the first stage. The proposed algorithm, FMI_BGWO, describes efficiency and effectiveness by obtaining a higher classification accuracy and a small number of selected genes compared to other competitor algorithms.