The Gd2O3 - GdSrFeO4 pseudo -binary phase diagram

The Gd2O3 - GdSrFeO4 pseudo-binary phase diagram is presented for the first time. The liquidus and eutectic temperatures, metatectic points of the Gd2O3 transformations in the Gd2O3 - GdSrFeO4 section were defined using the Schröder-Le Chatelier equation, neglecting the effect of the isobaric heat capacity. The calculations were based on experimental data on the melting points of the end-members and the eutectic composition. From the results of phase relationships studies (subsolidus and high temperature region including literature data as well) and the above approach the Gd2O3-GdSrFeO4 pseudo-binary phase diagram in the temperature range 1400-2410 °C in air was constructed. It was shown that GdSrFeO4 of the K2NiF4- type is stable from 1100°С to a congruent melting temperature of 1560°С in air. The Gd2O3 - GdSrFeO4 system is eutectic with no intermediate compounds.

Loop nucleobases-dependent folding of G-quadruplex in normal and cancer cell-mimicking KCl microenvironments

In this study, the folding of G-quadruplex (G4) from the telomeric DNA sequences having loop nucleobases of different chemical natures, numbers, and arrangements in 10 mM and 100 mM KCl salt conditions mimicking the cancerous and normal KCl salt microenvironments have been investigated. The data suggest that the structure and stability of the G4 are highly dependent on the KCl salt concentration. In general, the conformational flexibility of the folded G4 is higher in KCl salt relevant to cancer than in the normal case for any loop arrangements with the same number of nucleobases. The stability of the G4 decreases with the increase in the number of loop nucleobases for both salt conditions. However, the decrease in the stability of G4 having adenine in the loop region is significantly higher than the case of thymine, particularly more prominent in the KCl salt relevant to the cancer. The topology of the folded G4 and its stability also depend delicately on the permutation of the nucleobases in the loop and the salt concentrations for a particular sequence. The findings indicate that the structure and stability of G4 are noticeably different in KCl salt relevant to physiological and cancer conditions.

Enzymatic synthesis and characterization of novel lipophilic inotodiol-oleic acid conjugates

In this study, we establish an efficient enzymatic approach for producing novel inotodiyl-oleates (IOs) from pure inotodiol and oleic acid to improve the properties of inotodiol. For the esterification between inotodiol and oleic acid, CALA and n-hexane were the optimal biocatalyst and solvents for forming IOs with 80.17% conversion yield. These IOs comprised two distinct monoesters, the C3 or C22 ester forms of inotodiol. Intriguingly, no diesters were detected. The IOs had a melting point of 53.48 °C, much lower than that of inotodiol (192.06 °C). The in vitro digestion rate of IOs (25-28%) was significantly (p < 0.05) lower than that of cholesteryl-oleate (60%). Additionally, IOs exhibited much lower in vivo absorption than inotodiol when orally administered using different formulations (p < 0.05). The results indicated that IOs were resistant to enzymatic digestion in the small intestine, which could be advantageous in targeting the large intestine for disease treatments.

Detection of SARS-CoV-2 spike protein D614G mutation using μTGGE

BACKGROUND

The accurate and expeditious detection of SARS-CoV-2 mutations is critical for monitoring viral evolution, assessing its impact on transmission, virulence, and vaccine efficacy, and formulating public health interventions. In this study, a detection system utilizing micro temperature gradient gel electrophoresis (μTGGE) was developed for the identification of the D614 and G614 variants of the SARS-CoV-2 spike protein.

METHODS

The in vitro synthesized D614 and G614 gene fragments of the SARS-CoV-2 spike protein were amplified via polymerase chain reaction and subjected to μTGGE analysis.

RESULTS

The migration patterns exhibited by the D614 and G614 variants on the polyacrylamide gel were distinctly dissimilar and readily discernible by μTGGE. In particular, the mid-melting pattern of D614 was shorter than that of G614.

CONCLUSIONS

Our results demonstrate the capability of μTGGE for the rapid, precise, and cost-effective detection of SARS-CoV-2 spike protein D614 and G614 variants without the need for sequencing. Therefore, this approach holds considerable potential for use in point-of-care mutation assays for SARS-CoV-2 and other pathogens.

Starting with an Integral Membrane Protein Project for Structural Biology: Production, Purification, Detergent Quantification, and Buffer Optimization-Case Study of the Exporter CntI from Pseudomonas aeruginosa

Production, extraction, purification, and stabilization of integral membrane proteins are key steps for successful structural biology studies, in particular for X-ray crystallography or single particle microscopy. Here, we present the purification protocol of CntI from Pseudomonas aeruginosa, a new metallophore exporter of the Drug Metabolite Transporter (DMT) family involved in pseudopaline secretion. Subsequent to CntI purification, we optimized the buffer pH, salts, and additives by differential scanning fluorimetry (DSF), also known as Thermofluor Assay (TFA) or fluorescent thermal stability assay (FTSA), with the use of dye 1-AnilinoNaphthalene-8-Sulfonic acid (ANS), a fluorescent molecule compatible with detergents. After the buffer optimization, the purified CntI was analyzed by Size Exclusion Chromatography coupled with Multi-Angle Laser Light Scattering (SEC-MALLS), UV absorbance, and Refractive Index detectors, in order to determine the absolute molar mass of the protein-detergent complex, the detergent amount bound to the protein and the amount of protein-free detergent micelles. Altogether, these biophysical techniques give preliminary and mandatory information about the suitability of the purified membrane protein for further biophysical or structural investigations.

Structural evolution of in-plane hybrid graphene/hexagonal boron nitride heterostructure upon heating

In-plane hybrid graphene/hexagonal boron nitride (h-BN) heterostructure (graphene/hBN/graphene) is studied via molecular dynamics simulation. The initial configuration (6400-atom graphene/6200-atom h-BN/6400-atom graphene) is heated up from 50 K to 7500 K via Tersoff potential. To study the structural evolution, some thermal dynamics quantities are calculated such as the coordination number, the total energy per atom, the heat capacity, the angular distribution, and the distribution of rings. Some main results are calculated and presented as follows: i) The sudden increase of total energy per atom at the melting point (5500 K) exhibits the first order phase transition from the crystalline state to a liquid state of the hybrid graphene/h-BN/graphene heterostructure; ii) The heat capacity shows two peaks. The first peak (at 5500 K) represents the phase transition from the crystalline to a liquid states while the second one (at 6300 K) represents the formation of gaseous atoms of B and N in the h-BN sheet; iii) The coordination number of three decreases dramatically at temperature of 5500 K (about 10% lefts for each type of atoms) leading to the formation of the first peak in the graph of the heat capacity. The coordination number of zero for B and N in the h-BN layer increases significantly (over 55%) at 6300 K causing the formation of the second peak in the graph of the heat capacity; iv) The influence of the relative number of atoms of h-BN to graphene in the hybrid graphene/h-BN/graphene heterostructure on the structural evolution upon heating is considered as follows. The number of atoms in the graphene sheets remains constant (6400 atoms per sheet) while the one of the h-BN sheet varies in size (780, 1560, 3120, 4680, 5490, 5880, 6080, and 6200 atoms). The results show that although the phase transition is still the first order type, the phase transition temperature decreases as the size of the h-BN layer in the hybrid heterostructure increases.

DeepTM: A deep learning algorithm for prediction of melting temperature of thermophilic proteins directly from sequences

Thermally stable proteins find extensive applications in industrial production, pharmaceutical development, and serve as a highly evolved starting point in protein engineering. The thermal stability of proteins is commonly characterized by their melting temperature (Tm). However, due to the limited availability of experimentally determined Tm data and the insufficient accuracy of existing computational methods in predicting Tm, there is an urgent need for a computational approach to accurately forecast the Tm values of thermophilic proteins. Here, we present a deep learning-based model, called DeepTM, which exclusively utilizes protein sequences as input and accurately predicts the Tm values of target thermophilic proteins on a dataset consisting of 7790 thermophilic protein entries. On a test set of 1550 samples, DeepTM demonstrates excellent performance with a coefficient of determination (R2) of 0.75, Pearson correlation coefficient (P) of 0.87, and root mean square error (RMSE) of 6.24 ℃. We further analyzed the sequence features that determine the thermal stability of thermophilic proteins and found that dipeptide frequency, optimal growth temperature (OGT) of the host organisms, and the evolutionary information of the protein significantly affect its melting temperature. We compared the performance of DeepTM with recently reported methods, ProTstab2 and DeepSTABp, in predicting the Tm values on two blind test datasets. One dataset comprised 22 PET plastic-degrading enzymes, while the other included 29 thermally stable proteins of broader classification. In the PET plastic-degrading enzyme dataset, DeepTM achieved RMSE of 8.25 ℃. Compared to ProTstab2 (20.05 ℃) and DeepSTABp (20.97 ℃), DeepTM demonstrated a reduction in RMSE of 58.85% and 60.66%, respectively. In the dataset of thermally stable proteins, DeepTM (RMSE=7.66 ℃) demonstrated a 51.73% reduction in RMSE compared to ProTstab2 (RMSE=15.87 ℃). DeepTM, with the sole requirement of protein sequence information, accurately predicts the melting temperature and achieves a fully end-to-end prediction process, thus providing enhanced convenience and expediency for further protein engineering.

Effect of Ionic Strength on the Thermal Stability of DNA Origami Nanostructures

The stability of DNA origami nanostructures in aqueous media is closely tied to the presence of cations that screen electrostatic inter-helix repulsion. Here, the thermal melting behavior of different DNA origami nanostructures is investigated in dependence of Mg2+ concentration and compared to calculated ensemble melting temperatures of the staple strands used in DNA origami folding. Strong deviations of the measured DNA origami melting temperatures from the calculated ones are observed, in particular at high ionic strength where the melting temperature saturates and becomes independent of ionic strength. The degree of deviation between the measured and calculated melting temperatures further depends on the superstructure and in particular the mechanical properties of the DNA origami nanostructures. This indicates that thermal stability of a given DNA origami design at high ionic strength is governed predominantly not by electrostatic inter-helix repulsion but mostly by mechanical strain.

Domain-wise dissection of thermal stability enhancement in multidomain proteins

Stability is critical for the proper functioning of all proteins. Optimization of protein thermostability is a key step in the development of industrial enzymes and biologics. Herein, we demonstrate that multidomain proteins can be stabilized significantly using domain-based engineering followed by the recombination of the optimized domains. Domain-level analysis of designed protein variants with similar structures but different thermal profiles showed that the independent enhancement of the thermostability of a constituent domain improves the overall stability of the whole multidomain protein. The crystal structure and AlphaFold-predicted model of the designed proteins via domain-recombination provided a molecular explanation for domain-based stepwise stabilization. Our study suggests that domain-based modular engineering can minimize the sequence space for calculations in computational design and experimental errors, thereby offering useful guidance for multidomain protein engineering.

Lipid nanoparticle-based ribonucleoprotein delivery for in vivo genome editing

The clustered regularly interspaced short palindromic repeats (CRISPR)-associated (Cas) system is a technology that is used to perform site-specific gene disruption, repair, and the modification of genomic DNA via DNA repair mechanisms, and is expected to be a fundamental therapeutic strategy for the treatment of infectious diseases and genetic disorders. For clinical applications, the non-viral vector-based delivery of the CRISPR/Cas ribonucleoprotein (RNP) is important, but the poor efficiency of delivery and the lack of a practical method for its manufacture remains as an issue. We report herein on the development of a lipid nanoparticle (LNP)-based Cas RNP delivery system based on optimally designed single stranded oligonucleotides (ssODNs) that allow efficient in vivo genome editing. The formation of sequence-specific RNP-ssODN complexes was found to be important for the functional delivery of RNP. Furthermore, the melting temperature (Tm) between sgRNA and ssODN had a significant effect on in vivo gene knockout efficiency. An ssODN with a high Tm resulted in limited knockout (KO) activity while that at near room temperature showed the highest KO activity, indicating the importance of the cytosolic release of RNPs. Two consecutive intravenous injections of the Tm optimized formulation achieved approximately 70% and 80% transthyretin KO at the DNA and protein level, respectively, without any obvious toxicity. These findings represent a significant contribution to the development of safe in vivo CRISPR/Cas RNP delivery technology and its practical application in genome editing therapies.

Microwave plasma torches for solid waste treatment and vitrification

Conventional thermal plasma technology used in the treatment of solid waste has a high demand for power and a high rate of heat loss during solid waste treatment. We developed a novel approach for treating and vitrifying solid waste with a low-power microwave plasma torch (MPT). Based on theoretical thermodynamic equilibrium calculations, we studied the melting temperature of the residual ash and achieved vitrification of the residual ash with an MPT by adding specified ratios of discarded glass scraps. Thermocouples and a gas analyzer were used to characterize the temperature variations and gas concentrations in the plasma treatment chambers, respectively. An organic elemental analyzer and X-ray fluorescence (XRF) analyses were used to determine the chemical proportions of the solid waste residues. The morphologies of the residues and vitreous material were analyzed using scanning electron microscopy (SEM). The results showed that the microwave plasma treatment process converted 96 wt.% of the solid wastes into nonpolluting gases, leaving a residue of pure carbon and inorganic powder. Through theoretical calculations and experiments, atmospheric MPTs with power levels less than 10 kW were identified as realistic means for treating and vitrifying solid wastes.

Thermal Stability Estimation of Single Domain Antibodies Using Molecular Dynamics Simulations

In this chapter, we describe a protocol to estimate the thermal stability of single domain antibodies (sdAbs) using molecular dynamics (MD) simulations. This method measures the Q-value, the fraction of the native contacts, along the trajectory of high-temperature MD simulations starting from the experimental X-ray structure. We show a good correlation between the Q-value and the experimental melting temperature (T_m) in seven sdAbs. Assessing the Q-value on a per-residue level enabled us to identify residues that contribute to the instability and thus demonstrate which residues could be mutated to improve the stability and have later been validated by experiments. Our protocol extends beyond the application on sdAbs, as it is also suitable for other proteins and to determine the interfacial stability between protein and ligand.

Structure of thaumatin under acidic conditions: Structural insight into the conformations in lysine residues responsible for maintaining the sweetness after heat-treatment

Thaumatin is an intensely sweet-tasting protein. Its sweetness persists when heated under acidic conditions, but disappears when heated at a pH above 7.0. To clarify how the structural features of thaumatin resist insoluble aggregation during heating under acidic conditions, we analysed its crystal structure obtained at pH 4.0, 6.0, and 8.0. Simultaneously, the melting temperature (Tm) at these pH levels was determined using differential scanning fluorimetry. At pH 4.0, the Tm of thaumatin was substantially lower and the overall B-factor value of its structure was higher than those at pH 6.0. Interestingly, the relative B-factor values for most lysine residues decreased as the pH reduced. These results suggest that the overall structure at pH 4.0 becomes flexible but the relative flexibility of some regions is lower than that at pH 6.0. Thus, the reduction in relative flexibility might play an important role in preventing thermal aggregation, thereby maintaining the sweetness.

SYBR® Green RT-qPCR for the Universal Detection of Citrus Viroids

Quantitative polymerase chain reaction (qPCR) and reverse transcription (RT)-qPCR have now become the gold standard for molecular diagnostics because of its sensitivity, specificity, and reproducibility. In addition, qPCR diagnostics are flexible because they can be scaled for high- or low-throughput applications. Here we describe an optimized assay and workflow for the universal detection of eight citrus viroid species and their variants by RT-qPCR. The assay allows for quick and efficient molecular detection of viroids without the need to run RT-qPCR for each individual viroid species.

ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences

Collagen is the most abundant structural protein in humans, with dozens of sequence variants accounting for over 30% of the protein in an animal body. The fibrillar and hierarchical arrangements of collagen are critical in providing mechanical properties with high strength and toughness. Due to this ubiquitous role in human tissues, collagen-based biomaterials are commonly used for tissue repairs and regeneration, requiring chemical and thermal stability over a range of temperatures during materials preparation ex vivo and subsequent utility in vivo. Collagen unfolds from a triple helix to a random coil structure during a temperature interval in which the midpoint or T_m is used as a measure to evaluate the thermal stability of the molecules. However, finding a robust framework to facilitate the design of a specific collagen sequence to yield a specific T_m remains a challenge, including using conventional molecular dynamics modeling. Here we propose a de novo framework to provide a model that outputs the T_m values of input collagen sequences by incorporating deep learning trained on a large data set of collagen sequences and corresponding T_m values. By using this framework, we are able to quickly evaluate how mutations and order in the primary sequence affect the stability of collagen triple helices. Specifically, we confirm that mutations to glycines, mutations in the middle of a sequence, and short sequence lengths cause the greatest drop in T_m values.

Feasibility of melting fingerprint obtained from ISSR-HRM curves for marine mammal species identification

Currently, species identification of stranded marine mammals mostly relies on morphological features, which has inherent challenges. The use of genetic information for marine mammal species identification remains limited, therefore, new approaches that can contribute to a better monitoring of stranded species are needed. In that context, the ISSR-HRM method we have proposed offers a new approach for marine mammal species identification. Consequently, new approaches need to be developed to identify individuals at the species level. Eight primers of the ISSR markers were chosen for HRM analysis resulting in ranges of accuracy of 56.78–75.50% and 52.14–75.93% in terms of precision, while a degree of sensitivity of more than 80% was recorded when each single primer was used. The ISSR-HRM primer combinations revealed a success rate of 100% in terms of discrimination for all marine mammals included in this study. Furthermore, ISSR-HRM analysis was successfully employed in determining marine mammal discrimination among varying marine mammal species. Thus, ISSR-HRM analysis could serve as an effective alternative tool in the species identification process. This option would offer researchers a heightened level of convenience in terms of its performance and success rate. It would also offer field practice to veterinarians, biologists and other field-related people a greater degree of ease with which they could interpret results when effectively classifying stranded marine mammals. However, further studies with more samples and with a broader geographical scope will be required involving distinct populations to account for the high degree of intraspecific variability in cetaceans and to demonstrate the range of applications of this approach.

Spectroscopic and molecular modelling study of binding mechanism of bovine serum albumin with phosmet

Phosmet exerts its neurotoxicity by inhibiting acetylcholinesterase that catalyzes the degradation of acetylcholine (a neurotransmitter). Serum proteins are known to influence the biodistribution of various endogenous and exogenous compounds. In the present study, the binding interactions of phosmet with bovine serum albumin (BSA) was investigated to determine the free concentration of phosmet for its neurotoxicity. The binding mechanism was studied using fluorescence, UV-Vis absorption spectroscopy, circular dichroism (CD), and molecular docking techniques. UV-Vis absorption data showed an increase in absorbance of BSA upon binding with phosmet with a slight red-shift in the peak around 280 nm. Intrinsic fluorescence of BSA was quenched in the presence of phosmet. The quenching was observed to be inversely correlated to the temperature that indicated the formation of ground state non-fluorescent complex (static quenching). Binding constant values and n values for the binding of phosmet with BSA at three different temperatures confirmed non-covalent binding interactions with a single set of equivalent binding sites. Thermodynamic parameters ∆G (-137.40 ± 3.58 kJ mol^-1); ΔH (-16.33 ± 5.28 kJ mol^-1) and ΔS(-469 ± 12.45 kJ mol^-1) confirmed that the binding was spontaneous and non-covalent interactions like electrostatic, hydrogen bonding and van der Waals forces played an important role in the binding. The CD data indicated the conformational change in BSA upon binding with phosmet which resulted in a change in the melting temperature. Molecular docking presented the binding model for BSA-phosmet complex and displayed that non-covalent interactions played a significant role in the binding mechanism.

Thermal Shift Assay for Characterizing the Stability of RNA Helicases and Their Interaction with Ligands

Thermofluor or thermal shift assay is an easily implementable, high-throughput method for assessing the thermostability of proteins and the influence of various ligands on that stability. It is particularly useful for the assaying of ligands that may stabilize oligomeric helicases, which rely on both substrates (oligonucleotides) and nucleotide cofactors (ATP analogues) for their stability in a functional state. In this chapter, we describe the rationale and present a basic protocol for the use of this technique. Multi-ligand screening is also discussed via a worked example of the stabilization of a hexameric RNA helicase, a target protein for structural studies in our laboratories.

Genetic variations and dog breed identification using inter-simple sequence repeat markers coupled with high resolution melting analysis

The identification of differing physical characteristics of dogs is an uncomplicated and straightforward way to categorize dog breeds. However, many dog owners and veterinarians still struggle to distinguish between pure breed and mixed variations in certain breeds of dogs. Presently, the absence of the tools and methods needed to confirm a pure breed dog is a significant problem since the only method available to validate pure or mongrel breeds is the official pedigree system. Inter-simple sequence repeat markers have been successfully used to assess genetic variations and differentiations. Notably, inter-simple sequence repeat markers coupled with high resolution melting analysis were effectively used for the breed identification of 43 breeds of dogs (total 463 dogs). The 10 primers chosen for analysis resulted in a range of 31–78.6% of breed discrimination when using one primer, while a combination of two primers was able to successfully discriminate between all of the 43 dog breeds (100%). Shannon’s index information (I = 2.586 ± 0.034) and expected heterozygosity (H_e = 0.908 ± 0.003) indicated a high level of genetic diversity among breeds. The fixation index (F_st) revealed a value of 10.4%, demonstrating that there was a high level of genetic subdivision between populations. This study showed that inter-simple sequence repeat marker analysis was effective in demonstrating high genetic diversity among varying breeds of dogs, while a combination of Inter-simple sequence repeat marker analysis and high resolution melting analysis could provide an optional technique for researchers to effectively identify breeds through genetic variations.

Melting of DNA in confined geometries

The stability of DNA molecules during viral or biotechnological encapsulation is a topic of active current research. We studied the thermal stability of double-stranded DNA molecules of different lengths in a confined space. Using a statistical model, we evaluate the melting profile of DNA molecules in two geometries: conical and cylindrical. Our results show that not only the confinement, but also the geometry of the confined space plays a prominent role in the stability and opening of the DNA duplex. We find that for more confined spaces, cylindrical confinement stabilizes the DNA, but for less confined spaces conical geometry stabilizes the DNA overall. We also analyse the interaction between DNA sequence and stability, and the evenness with which strand separation occurs. Cylindrical and conical geometries enable a better controlled tuning of the stability of DNA encapsulation and the efficiency of its eventual release, compared to spherical or quasi-spherical geometries.

A machine learning approach to estimation of phase diagrams for three-component lipid mixtures

The plasma membrane of eukaryotic cells is commonly believed to contain ordered lipid domains. The interest in understanding the origin of such domains has led to extensive studies on the phase behavior of mixed lipid systems. Three-component phase diagrams, composed of a high melting temperature (Tm) lipid, cholesterol, and a low Tm lipid have been valuable in studying lipid phase behavior. However, developing phase diagrams over the entire composition space and with precise tie-lines requires significant experimental effort. In this study, a machine learning approach was used to predict the Tm of lipids and generate phase diagrams from lipid mixtures. First, artificial neural network (ANN) was used for the prediction of Tm. The network was trained using available Tm data and was able to generate Tm values that closely matched literature results for its testing dataset. This model was then used to predict the Tm for lipids that have not yet been experimentally tested. Then, random forests (RF) and support vector machines (SVM) were trained and tested for their ability to predict a test three-component phase diagram. The model from the RF algorithm was able to generate a diagram that closely matched published results. This model was then used to generate phase diagrams for lipid mixtures at various temperatures and various degrees of unsaturation. This machine learning approach to the generation of lipid phase diagrams has the potential to save significant time and resources in studies of lipid phase behavior.

Comprehensive chemical proteomics for target deconvolution of the redox active drug auranofin

Chemical proteomics encompasses novel drug target deconvolution methods in which compound modification is not required. Herein we use Thermal Proteome Profiling, Functional Identification of Target by Expression Proteomics and multiplexed redox proteomics for deconvolution of auranofin targets to aid elucidation of its mechanisms of action. Auranofin (Ridaura®) was approved for treatment of rheumatoid arthritis in 1985. Because several clinical trials are currently ongoing to repurpose auranofin for cancer therapy, comprehensive characterization of its targets and effects in cancer cells is important. Together, our chemical proteomics tools confirmed thioredoxin reductase 1 (TXNRD1, EC:1.8.1.9) as a main auranofin target, with perturbation of oxidoreductase pathways as the top mechanism of drug action. Additional indirect targets included NFKB2 and CHORDC1. Our comprehensive data can be used as a proteomic signature resource for further analyses of the effects of auranofin. Here we also assessed the orthogonality and complementarity of different chemical proteomics methods that can furnish invaluable mechanistic information and thus the approach can facilitate drug discovery efforts in general.

Primer design strategy for denaturation bubble-mediated strand exchange amplification

Denaturation bubble-mediated strand exchange amplification (SEA) is a novel, rapid isothermal nucleic acid amplification has been applied for point-of-care molecular diagnostic in food safety, meat adulteration, forest disease and animal disease. Nevertheless, the absence of specialized strategy for SEA primers design led to long-time of primer screening progress before SEA reaction execution, which would largely increase the time consuming when SEA is utilized for detecting other new targets. In this present work, we investigated the impact of the following primers' attributes on SEA efficiency, including Tm value, 3' end G/C content, self-complementary and 3' complementary, according to which we demonstrated that optimal Tm value and reaction temperature were all 61 °C, while 3'-terminal nucleotide should be G/C, as the SEA reaction induced by the primers possessing these attributes exhibited significantly lower threshold time (Tt) value. Moreover, self-complementary and 3' complementary of primers should be avoided. Besides, we also discussed the consideration priority order of these factors, which was self-complementary and 3' complementary, Tm value and 3' end G/C content in turn. Because the SEA primer design strategy is first presented, our work will greatly promote the application of SEA in point-of-care test.

DNA Modification Readers and Writers and Their Interplay

Genomic DNA is modified in a postreplicative manner and several modifications, the enzymes responsible for their deposition as well as proteins that read these modifications, have been described. Here, we focus on the impact of DNA modifications on the DNA helix and review the writers and readers of cytosine modifications and how they interplay to shape genome composition, stability, and function.

A novel high-resolution melting analysis-based method for Salmonella genotyping

To establish a simple and rapid high-resolution melting curve (HRM) method, 5 different strains of Salmonella were identified by adding DNA denaturants at different concentrations into the HRM system to change the characteristics of DNA melting and to obtain different Tm (dissolving temperature) values of DNA from different target bacteria. When the concentration of n-butanol was 7% (v/v), the Tm value of the melting curve of the 5 strains changed from 89 °C to 80.5 °C, 81.5 °C, 79.5 °C, 81.0 °C and 82.5 °C, respectively. The sensitivity and specificity of the proposed method were both over 90% in the detection of 270 spiked milk powder samples. In summary, the proposed method in this study has potential for application to food safety and epidemiological research on Salmonella infection.

Thermal Shift and Stability Assays of Disease-Related Misfolded Proteins Using Differential Scanning Fluorimetry

Systematic identification of buffer formulations and small molecule chaperones that improve the expression, stability, and storage of proteins with therapeutic interest has gained enormous importance in biochemical research as well as in biotechnology and biomedical applications. In particular, the biochemical characterization of disease-related proteins and their genetic variants that result in misfolding requires systematic determination of protein stability, screening of optimal buffer conditions for biophysical and structural studies, and in some cases, the identification of small molecule chaperones with the potential to ameliorate folding defects. Among the several techniques available, differential scanning fluorimetry (DSF) is currently an extensively employed screening and analysis method for thermal shift and protein stability assays. Here we describe a step-by-step generic protocol for fast characterization of protein thermal stability and analysis of stabilization in thermal-shift assays by additives, ligands and chemical chaperones using β-oxidation mitochondrial dehydrogenases as model. These enzymes are associated to inborn errors of metabolism caused by mutant variants with folding and stability defects for which we previously established folding correction afforded by their cognate cofactors and substrates. With this example we thus illustrate the potential applications of the method in screening small molecule folding correctors among metabolites, ligands, cofactors or candidate drugs with therapeutic potential in protein folding diseases.

Differential Scanning Fluorimetry and Hydrogen Deuterium Exchange Mass Spectrometry to Monitor the Conformational Dynamics of NBD1 in Cystic Fibrosis

Cystic fibrosis (CF) is one of the most common, lethal autosomal recessive diseases in Caucasians with a life expectancy of 37-47 years. The CF transmembrane conductance regulator (CFTR) is a plasma membrane ion channel, confined to apical membrane of epithelia, and ensures transepithelial water and solute movement across secretory epithelia in several organs. Numerous CF mutations, including the most prevalent deletion of F508 (ΔF508) in the nucleotide binding domain 1 (NBD1) leads to CFTR global misfolding and premature intracellular degradation at the endoplasmic reticulum (ER). To better understand the misfolding mechanism caused by CF-causing point mutations in the NBD1, which is poorly understood, differential scanning fluorimetry (DSF) and hydrogen deuterium exchange coupled with mass spectrometry (HDX-MS) are the choice of techniques. These established methods can measure the conformational dynamics of the NBD1 globally and at peptide resolution level by monitoring backbone amide HDX, respectively, and will be instrumental to evaluate the mechanism of action of CF mutations and folding correctors that rescue CFTR folding defects via stabilizing the mutant NBD1.

Multiplex real-time PCR assays to detect Stenotrophomonas maltophilia carrying sul1, sul2, and sul3 genes

Nosocomial infections caused by Stenotrophomonas maltophilia resistant to SXT are increasingly reported worldwide. In this study, a novel melting-curve based multiplex real-time PCR assay for the simultaneous detection of the ssrA and sul1, sul2 and sul3 genes was first established. The assays were performed on a Roche LightCycler® 480 II system. The results for target and non-target amplification showed that the multiplex real-time PCR assays were specific, the limit of detection for each target was 10 copies per 20 μL reaction volume, the assays were linear over six log dilutions of the target genes (r² > 0.99), and the Ct values of the coefficients of variation for intra- and interassay reproducibility were <5%. The sensitivity for the target DNA in simulated blood samples was 10² CFU/mL. The multiplex real-time PCR assays showed 100% concordance with conventional PCR when tested against 20 SXT-susceptible and 20 SXT-resistant S. maltophilia from clinical samples. Therefore, the multiplex real-time PCR is a rapid, affordable and sensitive assay for direct detection of the ssrA and sul1, sul2 and sul3 genes.

Structural and functional characterization of protein-lipid interactions of the Salmonella typhimurium melibiose transporter MelB

BACKGROUND

Membrane lipids play critical roles in the structure and function of membrane-embedded transporters. Salmonella typhimurium MelB (MelB_St) is a symporter coupling melibiose translocation with a cation (Na⁺, Li⁺, or H⁺). We present an extensive study on the effects of specific phospholipids on the structure of MelB_St and the melibiose transport catalyzed by this protein.

RESULTS

Lipidomic analysis and thin-layer chromatography (TLC) experiments reveal that at least one phosphatidylethanolamine (PE) and one phosphatidylglycerol (PG) molecule associate with MelB_St at high affinities. Solid-state nuclear magnetic resonance (ssNMR) spectroscopy experiments confirmed the presence of lipid tails and glycerol backbones that co-purified with MelB_St; headgroups of PG were also observed. Studies with lipid-engineered strains, including PE-deficient, cardiolipin (CL)- and PG-deficient, or CL-deficient strains, show that lack of PE or PG, however not CL, largely inhibits both H⁺- and Na⁺-coupled melibiose active transport to different extents. Interestingly, neither the co-substrate binding (melibiose or Na⁺) nor MelB_St folding and stability are affected by changing lipid compositions. Remarkably, the delipidated MelB_St with only 2-3 bound lipids, regardless of the headgroup species, also exhibits unchanged melting temperature values as shown by circular dichroism spectroscopy.

CONCLUSIONS

(1) Lipid tails and glycerol backbones of interacting PE and PG may contribute to the stability of the structure of MelB_St. (2) The headgroups of PE and PG, but not of CL, play important roles in melibiose transport; however, lipid headgroups do not modulate the folding and stability of MelB_St.

Evaluation of Thermal Stability of RNA Nanoparticles by Temperature Gradient Gel Electrophoresis (TGGE) in Native Condition

Temperature gradient gel electrophoresis (TGGE) is a powerful tool used to analyze the thermal stabilities of nucleic acids. While TGGE is a decades-old technique, it has recently gained favor in the field of RNA nanotechnology, notably in assessing the thermal stabilities of RNA nanoparticles (NPs). With TGGE, an electrical current and a linear temperature gradient are applied simultaneously to NP-loaded polyacrylamide gel, separating the negatively charged NPs based on their thermal behavior (a more stable RNA complex will remain intact through higher temperature ranges). The linear temperature gradient can be set either perpendicular or parallel to the electrical current, as either will make the NPs undergo a transition from native to denatured conformations. Often, the melting transition is influenced by sequence variations, secondary/tertiary structures, concentrations, and external factors such as the presence of a denaturing agent (e.g., urea), the presence of monovalent or divalent metal ions, and the pH of the solvent. In this chapter, we describe the experimental setup and the analysis of the thermal stability of RNA NPs in native conditions using a modified version of a commercially available TGGE system.

Thermal stability and conformation of DNA and proteins under the confined condition in the matrix of hydrogels

Spatially confined environments are seen in biological systems and in the fields of biotechnology and nanotechnology. The confinement restricts the conformational space of polymeric molecules and increasing the degree of molecular crowding. Here, we developed preparation methods for agarose and polyacrylamide gels applicable to UV spectroscopy that can evaluate the confinement effects on DNA and protein structures. Measurements of UV absorbance and CD spectra showed no significant effect of the confinement in the porous media of agarose gels on the base-pair stability of DNA polynucleotides [poly(dA)/poly(dT)] and oligonucleotides (hairpin, duplex, and triplex structures). On the other hand, a highly confined environment created by polyacrylamide gels at high concentrations increased the stability of polynucleotides while leaving that of oligonucleotides unaffected. The changes in the base-pair stability of the polynucleotides were accompanied by the perturbation of the helical conformation. The polyacrylamide gels prepared in this study were also used for the studies on proteins (lysozyme, bovine serum albumin, and myoglobin). The effects on the proteins were different from the effects on DNA structures, suggesting different nature of interactions within the gel. The experimental methods and results are useful to understand the physical properties of nucleic acids and proteins under confined conditions.

Time-Dependent Protein Thermostability Assay

Membrane protein purification often yields rather unstable proteins impeding functional and structural protein characterization. Low protein stability also leads to low purification yields as a result of protein degradation, aggregation, precipitation, and folding instability. It is often required to optimize buffer conditions through numerous iterations of trial and error to improve the homogeneity, stability, and solubility of the protein sample demanding high amounts of purified protein. Therefore we have set up a fast, simple, and high-throughput time-dependent thermostability-based assay at low protein cost to identify protein stabilizing factors to facilitate the handling and characterization of membrane proteins by subsequent structural and functional studies.

Real-time PCR for Leishmania species identification: Evaluation and comparison with classical techniques

BACKGROUND

Cutaneous leishmaniasis (CL) is a parasitic disease caused by various Leishmania species. Several studies have shown that real time quantitative PCR (qPCR) can be used for Leishmania spp. identification by analyzing the melting temperature (Tm). Thus, the aim of this study was to evaluate the viability of qPCR for differentiating eight closely related Leishmania species that cause the same clinical form of the disease and to compare the results with classical techniques.

METHODS

qPCR assays for standardizing the Tm using reference strains were performed. After the CL diagnosis on blood samples of domestic animals, positive samples were analyzed by their Tm and qPCR products were purified and sequenced. Ten human samples previously characterized by Multilocus Enzyme Electrophoresis (MLEE) were also analyzed by Tm. A Restriction Fragment Length Polymorphism (RFLP) assay, a reference test, was also standardized, by using the reference strains.

RESULTS

Through standardization of Tm for Leishmania spp., two Tm ranges were created for analysis: 1 (Tm = 78-79.99 °C) included Leishmania (V.) braziliensis, Leishmania (V.) panamensis, Leishmania (V.) lainsoni, Leishmania (V.) guyanensis and Leishmania (V.) shawi; and 2 (Tm = 80-82.2 °C) included Leishmania (V.) naiffi, Leishmania (L.) amazonensis and Leishmania (L.) mexicana. A total of 223 positive blood samples were analyzed, with 58 included in range 1 and 165 in range 2. L. (V.) braziliensis, L. (V.) panamensis and L. (V.) guyanensis were identified by sequencing, while L. (V.) braziliensis, L. (L.) mexicana and L. (V.) panamensis were identified by RFLP analysis. Ten human samples previously characterized by Multilocus Enzyme Electrophoresis (MLEE) were also analyzed by qPCR Tm analysis; five were classified in range 1 and five in range 2. A concordance of 80% was calculated between qPCR and the gold-standard (MLEE) with no significant difference between the methods (p = 0.6499); a similar result was observed for sequencing and qPCR (p = 0.2566). In contrast, a highly significant difference was observed for qPCR and RFLP (p < 0.001).

CONCLUSIONS

In this study, we demonstrated the potential use of qPCR as a tool for Leishmania species identification using two Tm ranges.

Rapid genotyping of human rotavirus using SYBR green real-time reverse transcription-polymerase chain reaction with melting curve analysis

AIM: To develop a real-time reverse transcription-polymerase chain reaction (RT-PCR) assay to genotype rotavirus (G and P) in Alberta from January 2012 to June 2013.

METHODS: We developed and validated a different approach to perform rotavirus G and P genotyping using a two-step SYBR green RT-PCR (rt-gPCR) by selecting genotype-specific primers of published conventional RT nested PCR (cnRT-PCR) assay and optimizing the amplification conditions. cDNA was first synthesized from total RNA with SuperScript™ II reverse transcriptase kit followed by amplication step using monoplex SYBR green real-time PCR. After the PCR reaction, melting curve analysis was used to determine specific genotype. Sixteen samples previously genotyped using cnRT-PCR were tested using the new assay and the genotyping results were compared as sensitivity analysis. Assay specificity was evaluated by testing other gastroenteritis viruses with the new assay. The amplicon size of each available genotype was determined by gel-electrophoresis and DNA sequences were obtained using Sanger-sequencing method. After validation and optimization, the new assay was used to genotype 122 pediatric clinical stool samples previously tested positive for rotavirus using electron microscopy between January 2012 and June 2013.

RESULTS: The new rt-gPCR assay was validated and optimized. The assay detected G1 to G4, G9, G12 and P[4] and P[8] that were available as positive controls in our laboratory. A single and clear peak of melting curve was generated for each of specific G and P genotypes with a T_m ranging from 80 °C to 82 °C. The sensitivity of rt-gPCR was comparable to cnRT-PCR with 100% correlation of the 16 samples with known G and P genotypes. No cross reaction was found with other gastroenteritis viruses. Using the new rt-gPCR assay, genotypes were obtained for 121 of the 122 pediatric clinical samples tested positive for rotavirus: G1P[8] (42.6%), G2P[4] (4.9%), G3P[8] (10.7%), G9P[8] (10.7%), G9P[4] (6.6%), G12P[8] (23.0%), and unknown GP[8] (0.8%). For the first time, G12 rotavirus strains were found in Alberta and G12 was the second most common genotype during the study period. Gel electrophoresis of all the genotypes showed expected amplicon size for each genotype. The sequence data of the two G12 samples along with other genotypes were blasted in NCBI BLAST or analyzed with Rota C Genotyping tool (http://rotac.regatools.be/). All genotyping results were confirmed to be correct.

CONCLUSION: rt-gPCR is a useful tool for the genotyping and characterization of rotavirus. Monitoring of rotavirus genotypes is important for the identification of emerging strains and ongoing evaluation of rotavirus vaccination programs.

Multiplex genotyping based on the melting temperature of a single locked nucleic acid probe

Locked nucleic acid (LNA) is a modified RNA nucleotide that can be incorporated at specific positions to generate probes with the desired length, melting temperature (TM), and specificity. Here, we describe a method of multiplex genotyping based on dramatic shifts in the TM of a single dual-labeled LNA probe. Using this method, two varieties of the hairtail fish Trichiurus lepturus can be distinguished from each other, as well as from Trichiurus japonicus, based on a 1- to 2-bp difference in a fragment of mitochondrial cytochrome oxidase subunit 1. The shift in TM was 15 °C for a 1-bp mismatch and 27 °C for a 2-bp mismatch, indicating remarkable specificity. We anticipate that the method will be widely useful in applications such as species identification that require accurate, multiplex, and efficient detection of DNA polymorphisms.

The interaction of amino acids, peptides, and proteins with DNA

Amino acids that carry charges on their side groups can bind to double stranded DNA (dsDNA) and change the strength of the double helix. Measurement of the DNA melting temperature (Tm) confirmed that acidic amino acids (Glu, Asp) weaken the H-bonds between DNA strands, whereas basic amino acids (Arg, Lys) strengthen the interaction between the strands. A rank correlation exists between the amino acid isoelectric points and the observed changes in Tm. A similar dependence of the hyperchromic effect on the isoelectric point of a protein (pepsin, insulin, cortexin, and protamine) was observed for DNA-protein complexes at room temperature. Short peptides (KE, AEDG, and KEDP) containing a mixture of acidic and basic amino acid residues also affect Tm and the stability of the double helix. A model for binding Glu and Lys to dsDNA was explored by a docking simulation. The model shows that Glu, in an untwisted shape, binds to dsDNA in its major groove and disrupts three H-bonds between the strands, thereby destabilizing the double helix. Lys, in an untwisted shape, binds to the external side of the dsDNA and forms two bonds with O atoms of neighboring phosphodiester groups, thereby strengthening the DNA helix.

Purification of the Campylobacter jejuni Dps protein assisted by its high melting temperature

Dps proteins (DNA binding protein from starved cell) form a distinct group within the ferritin superfamily. All Dps members are composed of 12 identical subunits that assemble into a conserved spherical protein shell. Dps oxidize Fe(2+) in a conserved ferroxidase center located at the interface between monomers, the product of the reaction Fe(3+), is then stored inside the protein shell in the form of non-reactive insoluble Fe2O3. The Campylobacter jejuni Dps (CjDps) has been reported to play a plethora of functions, such as DNA binding and protection, iron storage, survival in response to hydrogen peroxide and sulfatide binding. CjDps is also important during biofilm formation and caecal colonization in poultry. In order to facilitate in vitro characterisation of CjDps, it is important to have a simple and reproducible protocol for protein purification. Here we report an observation that CjDps has an unusual high melting temperature. We exploited this property for protein purification by introducing a thermal treatment step which allowed achieving homogeneity by using only two chromatographic steps. Gel filtration chromatography, circular dichroism, mass spectrometry, DNA-binding and iron oxidation analysis confirmed that the CjDps structure and function were unaffected.

5-Hydroxymethylcytosine and 5-formylcytosine containing deoxyoligonucleotides: facile syntheses and melting temperature studies

An oxidation-based synthetic approach was developed for facile preparation of 5-formyl-2'-deoxycytidine and 5-hydroxymethyl-2'-deoxycytidine phosphoramidites. Upon introducing organic solvent components and copper catalysts, C5-methyl groups of 5-methyl-2'-deoxycytidine and thymidine were readily oxidized to formyl and hydroxyl functionality, respectively. Standard solid phase DNA synthesis and conventional deprotection methods were applicable to synthesize 5-formyl- or 5-hydroxymethyl-cytosine containing DNA oligonucleotides, which were used to study the effect of epigenetic modifications on DNA thermal dynamic stability.

Cy3 and Cy5 dyes attached to oligonucleotide terminus stabilize DNA duplexes: predictive thermodynamic model

Cyanine dyes are important chemical modifications of oligonucleotides exhibiting intensive and stable fluorescence at visible light wavelengths. When Cy3 or Cy5 dye is attached to 5' end of a DNA duplex, the dye stacks on the terminal base pair and stabilizes the duplex. Using optical melting experiments, we have determined thermodynamic parameters that can predict the effects of the dyes on duplex stability quantitatively (ΔG°, Tm). Both Cy dyes enhance duplex formation by 1.2 kcal/mol on average, however, this Gibbs energy contribution is sequence-dependent. If the Cy5 is attached to a pyrimidine nucleotide of pyrimidine-purine base pair, the stabilization is larger compared to the attachment to a purine nucleotide. This is likely due to increased stacking interactions of the dye to the purine of the complementary strand. Dangling (unpaired) nucleotides at duplex terminus are also known to enhance duplex stability. Stabilization originated from the Cy dyes is significantly larger than the stabilization due to the presence of dangling nucleotides. If both the dangling base and Cy3 are present, their thermodynamic contributions are approximately additive. New thermodynamic parameters improve predictions of duplex folding, which will help design oligonucleotide sequences for biophysical, biological, engineering, and nanotechnology applications.

Rational design of specific binding hairpin Py-Im polyamides targeting human telomere sequences

N-Methylpyrrole (Py)-N-methylimidazole (Im) polyamides are organic molecules that can recognize predetermined DNA sequences in a sequence-specific manner. Human telomeres contain regions of (TTAGGG)n repetitive nucleotide sequences at each end of chromosomes, and these regions protect the chromosome from deterioration or from fusion with neighboring chromosomes. The telomeres are disposable buffers at the ends of chromosomes that are truncated during cell division. Tandem hairpin Py-Im polyamide TH59, which recognizes human telomere sequences, was reported by Laemmli's group in 2001. Here, we synthesized three types of Py-Im polyamides 1-3 based on TH59 for specific recognition of human telomere repeat sequences. Thermal melting temperature (Tm) measurements and surface plasmon resonance analysis were used to evaluate the abilities of the three types of Py-Im polyamides to discriminate between three kinds of DNA sequences. Significantly, the results showed that polyamides 1 and 2 have better affinities to TTAAGG than to TTAGGG. In contrast, polyamide 3 displayed good specificity to human telomere sequence, TTAGGG, as expected on the basis of Py-Im binding rules.

Conformational changes of DNA in the presence of 12-s-12 gemini surfactants (s=2 and 10). Role of the spacer's length in the interaction surfactant-polynucleotide

A multifaceted study on the interaction of calf-thymus DNA with two different cationic gemini surfactants alkanediyl-α-ω-bis(dodecyldimethyl-amonium)bromide, 12-s-12,2Br(-) (with s=2, G2, and 10, G10) was carried out. The measurements were done at different molar ratios X=[surfactant]/[DNA]. Results show two different conformational changes in DNA: a first compaction of the polynucleotide corresponding to a partial conformational (not total) change of DNA from an extended coil state to a globular state that happens at the lower molar ratio X. A second change corresponds to a breaking of the partial condensation, that is, the transition from the compacted state to a new more extended conformation (for the higher X values) different to the initial extension. According to circular dichroism spectra and dynamic light scattering measurements, this new state of DNA seems to be similar to a ψ-phase. Measurements confirm that interactions involved in the compaction are different to those previously obtained for the analog surfactant CTAB. X values at which the conformational changes happen depend on the length of the spacer in the surfactant along with the charge of the polar heads.

Effects of high hydrostatic pressure (HHP) on the protein structure and thermal stability of Sauvignon blanc wine

Protein haze development in bottled white wines is attributed to the slow denaturation of unstable proteins, which results in their aggregation and flocculation. These protein fractions can be removed by using bentonite; however, a disadvantage of this technique is its cost. The effects of high hydrostatic pressure (HHP) on wine stability were studied. Fourier transform infrared spectroscopy experiments were performed to analyse the secondary structure of protein, thermal stability was evaluated with differential scanning calorimetry, while a heat test was performed to determine wine protein thermal stability. The results confirmed that high pressure treatments modified the α-helical and β-sheet structures of wine proteins. Throughout the 60 days storage period the α-helix structure in HHP samples decreased. Structural changes by HHP (450 MPa for 3 and 5 min) improve thermal stability of wine proteins and thus delay haze formation in wine during storage.

DNA interaction with zinc(II) ions

We focused on interactions of Zn(II) with DNA in this study. These interactions were monitored using UV/vis spectrophotometry and gel electrophoresis. Firstly, we isolated and amplified 498 bp fragment of DNA. Samples were obtained by incubation of DNA fragment with Zn(II) for 60 min at 25 °C. After incubation, the samples were dialyzed and analyzed immediately. In this way, DNA was converted into a metal bound DNA (Zn-DNA). Interaction of Zn(II) with DNA caused change in the absorption spectrum (190-350 nm) and decrease in the melting temperature (Tm) of Zn-DNA. Spectrophotometric (UV/vis) analysis showed that increasing concentrations of zinc(II) ions led to the increase in the absorbance at 200 nm and decrease in absorbance at 251 nm. Application of zinc(II) ions at 5.5 μM concentration caused decrease in Tm for app. 7.5 °C in average in comparison with control (75.5 ± 3 °C). The lowest melting temperature (60.5 ± 2.5 °C) was observed after application of zinc(II) ions at 33 μM concentration. Gel electrophoresis proved significance of Zn(II) in the renaturation of DNA. Samples of Zn-DNA (15 μM DNA+5.5-55 μM Zn(II)) caused significant changes in the renaturation of DNA in comparison with the control, untreated DNA (15 μM DNA).

Distribution of amino acids in functional sites of proteins with high melting temperature

The stability of proteins in its native state has an important implication on its function and evolution. The functional site analysis may lead to better understanding of how these amino acid distributions influence the melting temperature of proteins. It has been reported that increasing the fraction of hydrophobic contacts in a protein tends to raise melting temperature; increasing the fraction of repulsive charge contacts decrease the melting temperature and consistent with a destabilizing effect. The role of amino acid distribution as hydrophobic, charged and polar residues in proteins and mainly in its functional sites has been studied. Due to limited data availability, redundancy check and controlled environment parameters, the study was carried out with ten single chain-wild proteins having melting temperature above 80°C at pH 7. The analysis depicts that, the entire protein, hydrophobic residues are more frequent in single chain proteins and charged residues are more frequent in multi-chains proteins. In functional sites of these proteins, hydrophobic and charged residues are equally frequent in single chain proteins and charged residues are very high in multi-chains proteins. But, the polar residue distribution remains same for both single chain and multi-chain proteins and its functional sites.