Search
displaying 1000 best results Help
Search results for: PROTEIN–STRUCTURE PREDICTION.
-
PROTEIN SCIENCE
Journals -
Intelligent Decision Forest Models for Customer Churn Prediction
PublicationCustomer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry. It is important to researchers and industry analysts interested in projecting customer behavior to separate churn from non‐churn consumers. The fundamental incentive is a firm’s intent desire to keep current consumers, along with the exorbitant expense of gaining new ones....
-
Rhamnolipid CMC Prediction
PublicationRelationships between the purity, pH, hydrophobicity (log Kow) of the carbon substrate, and the critical micelle concentration (CMC) of rhamnolipid type biosurfactants (RL) were investigated using a quantitative structure–property relationship (QSPR) approach and are presented here for the first time. Measured and literature CMC values of 97 RLs, representing biosurfactants at different stages of purification, were considered....
-
Secondary Structure in Free and Assisted Modeling of Proteins with the Coarse-Grained UNRES Force Field
PublicationSecondary structure is a solid scaffold on which the three-dimensional structure of a protein is built. Therefore, care must be taken to reproduce the secondary structure as accurately as possible in the simulations of protein systems. In this chapter, we summarize the physics-based energy terms that govern secondary-structure formation, the auxiliary restraints on secondary structure derived from bioinformatics and from the experimental...
-
Novel single-stranded DNA-binding protein from psyvhrophilic bacterium Psychrobacter arcticus
PublicationTo study the biochemical properties of SSB from Psychrobacter arcticus (ParSSB), we have cloned the ssb genes obtained by PCR and have developed Escherichia coli overexpression systems. The gene consists of an open reading frame of 642 nucleotides encoding SSB protein of 213 amino acids with a calculated molecular mass of 22.8 kDa. The amino-acid sequence of ParSSB exhibits 49% identity and 57% similarity to Escherichia coli SSB....
-
MutL protein as a constituent of vsp, ner and mmr repair systems
PublicationMutS and MutL proteins are renowned mostly for their functions in well-characterized, post-DNA replication mis- match repair system (MMR). However, there is growing evidence that MMR system is not the only field of action for these pro- teins. Moreover, the participation in MMR does not even have to be their primary function. There are some reports indicat- ing involvement of MutL in BER, NER and VSP (very short patch repair)....
-
Crystal structure and electronic structure of CePt2In7
PublicationWe report a corrected crystal structure for the CePt2In7 superconductor, refined from single crystal x-ray diffraction data. The corrected crystal structure shows a different Pt–In stacking along the c-direction in this layered material than was previously reported. In addition, all of the atomic sites are fully occupied with no evidence of atom site mixing, resolving a discrepancy between the observed high resistivity ratio of...
-
Modified Peptide Molecules As Potential Modulators of Shelterin Protein Functions; TRF1
PublicationIn this work, we present studies on relatively new and still not well-explored potential anticancer targets which are shelterin proteins, in particular the TRF1 protein can be blocked by in silico designed "peptidomimetic" molecules. TRF1 interacts directly with the TIN2 protein, and this protein-protein interaction is crucial for the proper functioning of telomere, which could be blocked by our novel modified peptide molecules....
-
Protein overproduction alters exosome secretion in Chinese hamster ovary cells
PublicationDespite the abundance of available cell lines, nearly 70% of all recombinant therapeutic proteins today are produced in Chi-nese hamster ovary (CHO) cells. The impact of protein overproduction on the secretion of exosomes by CHO cells has been investigated here. Increased secretion of extracellular vesicles (EVs) by protein overexpressing CHO cells was demonstrated with protein content assay, nanoparticle tracking analysis, and...
-
ADVANCES IN PROTEIN CHEMISTRY
Journals -
JOURNAL OF PROTEIN CHEMISTRY
Journals -
Molecular targets for antifungals in amino acid and protein biosynthetic pathways
PublicationFungi cause death of over 1.5 million people every year, while cutaneous mycoses are among the most common infections in the world. Mycoses vary greatly in severity, there are long-term skin (ringworm), nail or hair infections (tinea capitis), recurrent like vaginal candidiasis or severe, life-threatening systemic, multiorgan infections. In the last few years, increasing importance is attached to the health and economic problems...
-
Biotechnological production and purification of Borrelia burgdorferi sl B1 protein
Open Research DataBorrelia burgdorferi B1 protein could be used in the detection of specific immunoglobulins from patients' sera with Lyme disease that may be infected with different genospecies of B. burgdorferii sl. The goal of the study was to obtain the highest possible yield of protein expression in prokaryotic cells and purified protein preparations. This dataset...
-
Biotechnological production and purification of Borrelia burgdorferi sl B2 protein
Open Research DataBorrelia burgdorferi B2 protein could be used in the detection of specific immunoglobulins from patients' sera with Lyme disease that may be infected with different genospecies of B. burgdorferii sl. The goal of the study was to obtain the highest possible yield of protein expression in prokaryotic cells and purified protein preparations. This dataset...
-
Biotechnological production and purification of Borrelia burgdorferi sl B12 protein
Open Research DataBorrelia burgdorferi B12 protein could be used in the detection of specific immunoglobulins from patients' sera with Lyme disease that may be infected with different genospecies of B. burgdorferii sl. The goal of the study was to obtain the highest possible yield of protein expression in prokaryotic cells and purified protein preparations. This dataset...
-
Biotechnological production and purification of Borrelia burgdorferi sl B3 protein
Open Research DataBorrelia burgdorferi B3 protein could be used in the detection of specific immunoglobulins from patients' sera with Lyme disease that may be infected with different genospecies of B. burgdorferii sl. The goal of the study was to obtain the highest possible yield of protein expression in prokaryotic cells and purified protein preparations. This dataset...
-
Biotechnological production and purification of Borrelia burgdorferi sl B6 protein
Open Research DataBorrelia burgdorferi B6 protein could be used in the detection of specific immunoglobulins from patients' sera with Lyme disease that may be infected with different genospecies of B. burgdorferii sl. The goal of the study was to obtain the highest possible yield of protein expression in prokaryotic cells and purified protein preparations. This dataset...
-
Biotechnological production and purification of Borrelia burgdorferi sl P protein
Open Research DataBorrelia burgdorferi P protein could be used in the detection of specific immunoglobulins G (IgG) from patients' sera with Lyme disease that may be infected with different genospecies of B. burgdorferii sl. The goal of the study was to obtain the highest possible yield of protein expression in prokaryotic cells and purified protein preparations. This...
-
Biotechnological production and purification of Borrelia burgdorferi sl F protein
Open Research DataBorrelia burgdorferi F protein could be used in the detection of specific immunoglobulins G (IgG) from patients' sera with Lyme disease that may be infected with different genospecies of B. burgdorferii sl. The goal of the study was to obtain the highest possible yield of protein expression in prokaryotic cells and purified protein preparations. This...
-
Nature-Inspired Driven Deep-AI Algorithms for Wind Speed Prediction
PublicationPredicting wind energy production accurately is crucial for enhancing grid management and dispatching capacity. However, the inherent unpredictability of wind speed poses significant challenges to achieving high prediction accuracy. To address this challenge, this study introduces a novel pre-processing framework that leverages thirteen nature-inspired optimization algorithms to extract and combine Intrinsic Mode Functions (IMFs)...
-
Akaike's final prediction error criterion revisited
PublicationWhen local identification of a nonstationary ARX system is carried out, two important decisions must be taken. First, one should decide upon the number of estimated parameters, i.e., on the model order. Second, one should choose the appropriate estimation bandwidth, related to the (effective) number of input-output data samples that will be used for identification/ tracking purposes. Failure to make the right decisions results...
-
A Colorimetric Microplate Assay for DNA-Binding Activity of His-Tagged MutS Protein
PublicationA simple microplate method was designed for rapid testing DNA-binding activity of proteins. The principle of the assay involves binding of tested DNA by his-tagged protein immobilized on a nickel-coated ELISA plate, following colorimetric detection of biotinylated DNA with avidin conjugated to horseradish peroxidase. The method was used to compare DNA mismatch binding activities of MutS proteins from three bacterial species. The...
-
An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks
PublicationIn this paper, an intelligent approach to the Short-Term Wind Power Prediction (STWPP) problem is considered, with the use of various types of Deep Neural Networks (DNNs). The impact of the prediction time horizon length on accuracy, and the influence of temperature on prediction effectiveness have been analyzed. Three types of DNNs have been implemented and tested, including: CNN (Convolutional Neural Networks), GRU (Gated Recurrent...
-
MUTL PROTEIN AS A COMMON CONSTITUENT OF VSP, BER, NER AND MMR REPAIR SYSTEMS
PublicationMutS and MutL proteins are renowned mostly for their functions in well-characterized, post-DNA replication mismatch repair system (MMR). However, there is growing evidence that MMR system is not the only field of action of these proteins. Moreover, involvement in MMR does not even have to be their primary function. There are some reports indicating involvement of MutL in BER, NER and VSP (very short patch repair). MutL protein...
-
BANKRUPTCY PREDICTION IN VISEGRAD GROUP COUNTRIES
PublicationThe novelty of the study is a comprehensive look at the problem of bankruptcy forecasting in Visegrad Group countries (V4) and making a comparison in relation to the achievements obtained in more developed western countries. The conducted research based on a systematic literature review of 151 publications indexed in Scopus and Web of Science and bibliometric analysis. The results showed that the main lines of research are from...
-
Multicomponent ionic liquid CMC prediction
PublicationWe created a model to predict CMC of ILs based on 704 experimental values published in 43 publications since 2000. Our model was able to predict CMC of variety of ILs in binary or ternary system in a presence of salt or alcohol. The molecular volume of IL (Vm), solvent-accessible surface (Sˆ), solvation enthalpy (DsolvGN), concentration of salt (Cs) or alcohol (Ca) and their molecular volumes (Vms and Vma, respectively) were chosen...
-
Dynamic Bankruptcy Prediction Models for European Enterprises
PublicationThis manuscript is devoted to the issue of forecasting corporate bankruptcy. Determining a firm’s bankruptcy risk is one of the most interesting topics for investors and decision-makers. The aim of the paper is to develop and to evaluate dynamic bankruptcy prediction models for European enterprises. To conduct this objective, four forecasting models are developed with the use of four different methods—fuzzy sets, recurrent and...
-
Amyloid fibril formation in the presence of water structure-affecting solutes
PublicationThe impact of the differently hydrated non-electrolytes (protein structure destabilizers) on the fibrillation of hen egg white lysozyme (HEWL) was investigated. Two isomeric urea derivatives i.e. butylurea (BU) and N,N,N′,N′-tetramethylurea (TMU) were chosen as a tested compounds. The obtained results show that butylurea exerts greater impact on HEWL and its fibrillation than tetramethylurea. Both substances decrease the time of...
-
Integrated information and prediction Web Service WaterPUCK General concept
PublicationIn this paper, general concept of a new method as ‘Integrated information and prediction Web Service WaterPUCK’ for investigation influence of agricultural holdings and land-use structures on coastal waters of the southern Baltic Sea is presented. WaterPUCK Service is focused on determination of the current and future environmental status of the surface water and groundwater located in the Puck District (Poland) and its impact...
-
Balanced Spider Monkey Optimization with Bi-LSTM for Sustainable Air Quality Prediction
PublicationA reliable air quality prediction model is required for pollution control, human health monitoring, and sustainability. The existing air quality prediction models lack efficiency due to overfitting in prediction model and local optima trap in feature selection. This study proposes the Balanced Spider Monkey Optimization (BSMO) technique for effective feature selection to overcome the local optima trap and overfitting problems....
-
Mathematical analysis of a generalised p53-Mdm2 protein gene expression model
PublicationWe propose the generalisation of the p53-Mdm2 protein gene expression model introduced by Monk (2003). We investigate the stability of a unique positive steady state and formulate conditions which guarantee the occurrence of the Hopf bifurcation. We show that oscillatory behaviour can be caused not only by time lag in protein transcription process, but also can be present in the model without time delay. Moreover, we investigate...
-
Systematic Literature Review on Click Through Rate Prediction
PublicationThe ability to anticipate whether a user will click on an item is one of the most crucial aspects of operating an e-commerce business, and clickthrough rate prediction is an attempt to provide an answer to this question. Beginning with the simplest multilayer perceptrons and progressing to the most sophisticated attention networks, researchers employ a variety of methods to solve this issue. In this paper, we present the findings...
-
The Boltzmann sequence-structure channel
PublicationWe rigorously study a channel that maps binary sequences to self-avoiding walks in the two-dimensional grid, inspired by a model of protein statistics. This channel, which we also call the Boltzmann sequence-structure channel, is characterized by a Boltzmann/Gibbs distribution with a free parameter corresponding to temperature. In our previous work, we verified experimentally that the channel capacity has a phase transition for...
-
A new index for statistical analyses and prediction of travelling ionospheric disturbances
PublicationTravelling Ionospheric Disturbances (TIDs) are signatures of atmospheric gravity waves (AGWs) observed in changes in the electron density. The analysis of TIDs is relevant for studying coupling processes in the thermosphere–ionosphere system. A new TID index is introduced, which is based on an easy extension of the commonly used approach for TID detection. This TID activity index, which can be applied for individual Global Navigation...
-
Fatty acyl benzamido antibacterials based on inhibition of DnaK-catalyzed protein folding
PublicationWe have reported that the hsp70 chaperone DnaK from Escherichia coli might assist protein folding by catalyzing the cis/trans isomerization of secondary amide peptide bonds in unfolded or partially folded proteins. In this study a series of fatty acylated benzamido inhibitors of the cis/trans isomerase activity of DnaK was developed and tested for antibacterial effects in E. coli MC4100 cells. Nα-[Tetradecanoyl-(4-aminomethylbenzoyl)]-l-asparagine...
-
Sylwester Kaczmarek dr hab. inż.
PeopleSylwester Kaczmarek received his M.Sc in electronics engineering, Ph.D. and D.Sc. in switching and teletraffic science from the Gdansk University of Technology, Gdansk, Poland, in 1972, 1981 and 1994, respectively. His research interests include: IP QoS and GMPLS and SDN networks, switching, QoS routing, teletraffic, multimedia services and quality of services. Currently, his research is focused on developing and applicability...
-
Tool Wear Prediction in Single-Sided Lapping Process
PublicationSingle-sided lapping is one of the most effective planarization technologies. The process has relatively complex kinematics and it is determined by a number of inputs parameters. It has been noted that prediction of the tool wear during the process is critical for product quality control. To determine the profile wear of the lapping plate, a computer model which simulates abrasive grains trajectories was developed in MATLAB. Moreover,...
-
Expression of goose parvovirus whole VP3 protein and its epitopes in Escherichia coli cells
PublicationThe aim of this study was the expression of goose parvovirus capsid protein (VP3) and its epitopes in Escherichia coli cells. Expression of the whole VP3 protein provided an insufficient amount of protein. In contrast, the expression of two VP3 epitopes (VP3ep4, VP3ep6) in E. coli, resulted in very high expression levels. This may suggest that smaller parts of the GPV antigenic determinants are more efficiently expressed than the...
-
Novel DNA-binding protein from Nanoarchaeum equitans Kin4-M binds all kinds of nucleic acids
PublicationNanoarchaeum equitans is the only known representative of Archaea phylum Nanoarchaeota and stands out as one of the tiniest known living organism. What is more it has smallest genome, which is only 490.885 base pairs long. It is also one of the most compact genomes. According to predictions about 95% of the DNA encodes proteins or stable RNA. Nanoarchaeum equitans lacks genes for most vital metabolic pathways including lipid, cofactor,...
-
Induction machine behavioral modeling for prediction of EMI propagation.
PublicationThis paper presents the results of wideband behavioral modeling of an induction machine (IM). The proposed solution enables modeling the IM differential- and common-mode impedance for a frequency range from 1 kHz to 10 MHz. Methods of parameter extraction are derived from the measured IM impedances. The developed models of 1.5 kW and 7.5 kW induction machines are designed using the Saber Sketch scheme editor and simulated in the...
-
UNRES-Dock—protein–protein and peptide–protein docking by coarse-grained replica-exchange MD simulations
Publication -
Molecular basis of the osmolyte effect on protein stability: a lesson from the mechanical unfolding of lysozyme
PublicationOsmolytes are a class of small organic molecules that shift the protein folding equilibrium. For this reason, they are accumulated by organisms under environmental stress, and find applications in biotechnology where proteins need to be stabilized or dissolved. However, despite years of research, debate continues over the exact mechanisms underpinning the stabilizing and denaturing effect of osmolytes. Here, we simulated the mechanical...
-
Mobilenet-V2 Enhanced Parkinson's Disease Prediction with Hybrid Data Integration
PublicationThis study investigates the role of deep learning models, particularly MobileNet-v2, in Parkinson's Disease (PD) detection through handwriting spiral analysis. Handwriting difficulties often signal early signs of PD, necessitating early detection tools due to potential impacts on patients' work capacities. The study utilizes a three-fold approach, including data augmentation, algorithm development for simulated PD image datasets,...
-
Structure and Environment
Journals -
CORPORATE BANKRUPTCY PREDICTION IN POLAND AGAINST THE BACKGROUND OF FOREIGN EXPERIENCE
PublicationIn highly developed countries, research in the field of bankruptcy risk prediction has been conducted for many years. For example, in the United States, which can be considered a pioneering country, the first publications appeared in the early twentieth century. In Poland, due to political and economic reasons, the interest in this issue dates back to the early 1990s. For this reason, this publication attempts to answer the following...
-
CORPORATE BANKRUPTCY PREDICTION IN POLAND AGAINST THE BACKGROUND OF FOREIGN EXPERIENCE
PublicationIn highly developed countries, research in the field of bankruptcy risk prediction has been conducted for many years. For example, in the United States, which can be considered a pioneering country, the first publications appeared in the early twentieth century. In Poland, due to political and economic reasons, the interest in this issue dates back to the early 1990s. For this reason, this publication attempts to answer the following...
-
Proteolysis of whey protein isolates in nanoemulsion systems: impact of nanoemulsification and additional synthetic emulsifiers
PublicationNanoemulsions are currently of interest in the functional food sector because their small droplet size (100–500 nm) provides a number of potential advantages over conventional emulsions. This study concerned the behavior of nanoemulsions stabilized with whey proteins and two synthetic emulsifiers (Tween 80 and Croduret), and exposed to conditions simulating the human upper gastrointestinal tract. In particular, the effect of synthetic...
-
Numerical Estimation of Hull Hydrodynamic Derivatives in Ship Maneuvering Prediction
PublicationPrediction of the maneuvering characteristics of the ship at the design stage can be done by means of model tests, computational simulations or a combination of both. The model tests can be realized as direct simulation of the standard maneuvers with the free running model, which gives the most accurate results, but is also the least affordable as it requires very large tank or natural lake, as well as complex equipment of the...
-
Electricity demand prediction by multi-agent system with history-based weighting
PublicationEnergy and load demand forecasting in short-horizons, over an interval ranging from one hour to one week, is crucial for on-line scheduling and security functions of power system. Many load forecasting methods have been developed in recent years which are usually complex solutions with many adjustable parameters. Best-matching models and their relevant parameters have to be determined in a search procedure. We propose a hybrid...
-
Prediction based on integration of Decisional DNA and a feature selection algorithm Relief-F
PublicationThe paper presents prediction model based on Decisional DNA and Set of experienced integrated with Relief_F algorithm for feature selection