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Abstract The C-terminal amide carried by antimicrobial peptides (AMPs) can play a variable role in their antibacterial action and here, this role is investigated here for the synthetic peptide modelin-5 (M5-NH2). The peptide showed potent activity against Pseudomonas aeruginosa (MLC = 5.9 µM), with strong binding to the cytoplasmic membrane (CM) (Kd = 21.5 μM) and the adoption of high levels of amphiphilic α-helical structure (80.1%) which promoted strong CM penetration (9.6 mN m−1) and CM lysis (89.0%). In contrast, Staphylococcus aureus was resistant to M5-NH2 (MLC = 139.6 µM), probably due electrostatic repulsion effects mediated by Lys-PG in the organism’s CM. These effects promoted weak CM binding (Kd = 120.6 μM) and the formation of low levels of amphiphilic α-helical structure (30.1%), with low levels of CM penetration (4.8 mN m−1) and lysis (36.4%). C-terminal deamidation had a variable influence on the antibacterial activity of M5-NH2, and in the case of S. aureus, loss of this structural moiety had no apparent effect on activity. The resistance of S. aureus to M5-NH2 isoforms appeared to be facilitated by the high level of charge carried by these peptides, as well as the density and distribution of this charge. In the case of P. aeruginosa, the activity of M5-NH2 was greatly reduced by C-terminal deamidation (MLC = 138.6 µM), primarily through decreased CM binding (Kd = 118.4 μM) and amphiphilic α-helix formation (39.6%) that led to lower levels of CM penetration (5.1 mN m−1) and lysis (39.0%).

When bacteria interact with red blood cells, the plasma membrane receives signals from the microorganism adhesins, and the functional work of the erythrocyte as a whole depends on the biomembrane phospholipid condition. However, the microorganism effect on the structural and functional properties of the red blood cell membrane, as well as on the hemoglobin oxygen-binding ability has not been studied enough. Given the foregoing, we sought to study these issues in our work. The study used the “bacteria–red blood cells” model, using archival microbial strains (Staphylococcus aureus, Escherichia coli, Mycolicibacterium rutilum, and M. iranicum) and donor erythrocytes. The structural and functional properties of the red blood cell membrane phospholipids and the spectral characteristics of the hemoglobin molecule were studied using Raman spectroscopy. To study changes in red blood cell (RBC) morphology under the impact of microorganisms, laser interference microscopy was used. The results show that various types of microorganisms affected the conformational structure of the RBCs membrane phospholipid bonds, which contributed to changes in the morphological characteristics of cells, resulting in functional changes in both the red blood cell as a whole and the main RBC oxygen transport protein—hemoglobin.

Here we advance in the understanding of nucleic acids interactions with small anionic ligands by characterizing the binding of the Orange G (OG) dye to double-stranded DNA via single molecule force spectroscopy. While there is no detectable interaction at low ionic strengths, we found that for [ $$\hbox {Na}^+$$ ] = 150 mM OG was able to interact with the double-helix via groove binding in a non-cooperative way, with a relatively high equilibrium association constant ( $$\sim$$ $$10^5$$ $$\hbox {M}^{-1}$$ ) that is compatible to other classic DNA small ligands. Furthermore, experiments performed with a fixed OG concentration at various ionic strengths clearly show that the binding can be turned “on / off” by regulating the concentration of available counterions, a result that can guide the development of new synthetic ligands and shows how to modulate their interactions with nucleic acids. The present work therefore advances in evaluating the fundamental role of the ionic strength on the DNA interactions with small anionic ligands.

Abstract X-ray crystallography has tremendously served structural biology by routinely providing high-resolution 3D structures of macromolecules. The extent of information encoded in the X-ray crystallography is proportional to which resolution the crystals diffract and the structure can be refined to. Therefore, there is a continuous effort to obtain high-quality crystals, especially for those proteins, which are considered difficult to crystallize into high-quality protein crystals of suitable sizes for X-ray crystallography. Efforts in enhancing the resolution in X-ray crystallography have also been made by optimizing crystallization protocols using external stimuli such as an electric field and magnetic field during the crystallization. Here, we present the feasibility of on-the-fly post-crystallization resolution enhancement of the protein crystal diffraction by applying a high-voltage electric field. The electric field between 2 and 11 kV/cm, which was applied after mounting the crystals in the beamline, resulted in the enhancement of the resolution. The crystal diffraction quality improved progressively with the exposure time. Moreover, we also find that upto defined electric field threshold, the protein structure remains largely unperturbed, a conclusion further supported by molecular dynamics simulations.

Compared to fluorescence, second harmonic generation (SHG) has recently emerged as an excellent signal for imaging probes due to its unmatched advantages in terms of no photobleaching, no phototoxicity, no signal saturation, as well as the superior imaging accuracy with excellent avoidance of background noise. Existing SHG probes are constructed from heavy metals and are cellular exogenous, presenting with high cytotoxicity, difficult cellular uptake, and the limitation of non-heritability. We, therefore, initially propose an innovative gene-encoded bioprotein SHG probe derived from Autographa californica nuclear polyhedrosis virus (AcMNPV) polyhedrin. The primitive gene of AcMNPV polyhedrin was codon-optimized and mutated in its nuclear localization sequence to achieve cytoplasmic expression in mammalian cells. While providing strong SHG signals, this gene-modified AcMNPV (GM-AcMNPV) polyhedrin could be utilized as an SHG probe for cell imaging. Our experimental results demonstrated successful expression of GM-AcMNPV polyhedrin in the cytoplasm of HEK293T cells and bone mesenchymal stem cells (BMSCs), and verified its characteristic features as an SHG probe. Such SHG probes exhibit high biocompatibility and showed no hindering of central physiological activities such as the differentiation of stem cells. Most importantly, our SHG probes may be successfully used for imaging in living cells. This work will inspire the development of gene encoding-derived bioprotein SHG probes, for long-term tracing of cells/stem cells along with their division, to understand stem cell cycles, reveal stem cell-based therapy mechanisms in regenerative medicine, and unravel cell lineage origins and fates in developmental biology, among other potential applications.

The European Biophysical Societies’ Association (EBSA) is an association of 32 biophysical societies in Europe dedicated to the promotion of excellence in biophysics. Through cooperation and collaborative activities, EBSA makes a major and positive impact on the European and International biophysics community. Biennial congresses at various European locations, organized by host societies, are a major activity that engages biophysicists with the wider international scientific community. The European Biophysics Journal, EBJ, is owned by EBSA and publishes high-quality biophysics contributions from around the Globe. The inception of EBSA can be dated to 1984. Peter Bayley, President of EBSA 1990–1993 and Managing Editor, European Biophysics Journal 1984–1999, wrote a history of ‘EBSA- the early days’, which was published in the Abstract book of the 2007 EBSA Congress. In the present article we aim to update and expand the history to 2024, the 40th anniversary of EBSA, highlighting some developments and achievements of EBSA and the communities it represents.

Human Snk is an evolutionarily conserved serine/threonine kinase essential for the maintenance of endocrine stability. The protein consists of a N-terminal catalytic domain and a C-terminal polo-box domain (PBD) that determines subcellular localization and substrate specificity. Here, an integrated strategy is described to explore the vast structural diversity space of Snk PBD-binding phosphopeptides at a molecular level using machine learning modeling, annealing optimization, dynamics simulation, and energetics rescoring, focusing on the recognition specificity and motif preference of the Snk PBD domain. We further performed a systematic rational design of potent phosphopeptide ligands for the domain based on the harvested knowledge, from which a few potent binders were also confirmed by fluorescence-based assays. A phosphopeptide PP17 was designed as a good binder with affinity improvement by 6.7-fold relative to the control PP0, while the other three designed phosphopeptides PP7, PP13, and PP15 exhibit a comparable potency with PP0. In addition, a basic recognition motif that divides potent Snk PBD-binding sequences into four residue blocks was defined, namely [Χ-5Χ-4]block1–[Ω-3Ω-2Ω-1]block2–[pS0/pT0]block3–[Ψ+1]block4, where the X represents any amino acid, Ω indicates polar amino acid, Ψ denotes hydrophobic amino acid, and pS0/pT0 is the anchor phosphoserine/phosphothreonine at reference residue position 0.

Neuropathic pain (NP) is characterized by hyperalgesia, allodynia, and spontaneous pain. Hyperpolarization-activated cyclic nucleotide-gated (HCN) channel involved in neuronal hyperexcitability, has emerged as an important target for the drug development of NP. HCN channels exist in four different isoforms, where HCN1 is majorly expressed in dorsal root ganglion having an imperative role in NP pathophysiology. A specific HCN1 channel inhibitor will hold the better potential to treat NP without disturbing the physiological roles of other HCN isoforms. The main objective is to identify and analyze the chemical properties of scaffolds with higher HCN1 channel specificity. The 3D-QSAR studies highlight the hydrophobic & hydrogen bond donor groups enhance specificity towards the HCN1 channel. Further, the molecular interaction of the scaffolds with the HCN1 pore was studied by generating an open-pore model of the HCN1 channel using homology modelling and then docking the molecules with it. In addition, the important residues involved in the interaction between HCN1 pore and scaffolds were also identified. Moreover, ADME predictions revealed that compounds had good oral bioavailability and solubility characteristics. Subsequently, molecular dynamics simulation studies revealed the better stability of the lead molecules A7 and A9 during interactions and ascertained them as potential drug candidates. Cumulative studies provided the important structural features for enhancing HCN1 channel-specific inhibition, paving the way to design and develop novel specific HCN1 channel inhibitors.

In a bid to quantify the contribution of molecular structure to non-specific interactions leading to functionally important structural changes in cellular processes, the self-interaction of dextran-T70 (DT70) and its interaction with each of bovine serum albumin (BSA) and ovomucoid trypsin inhibitor (OVO) were studied at pH 7.4 between 5 and 37 °C. The dependences of the apparent molecular weight of each of BSA, OVO and DT70 on the concentration of DT70 were independent of temperature. The activity coefficient of the interaction of each species on DT70 concentration was also independent of temperature. The change in activity coefficient was however dependent on the molecular structure and size of the interacting species. The energy of insertion of each macromolecule in DT70 increased in the order DT70 > BSA > OVO. These findings show that although the enthalpic contribution is negligible, the extent of the entropic contribution to the macromolecular activity coefficient of interaction is chiefly the consequence of the exclusion volume of the interacting macromolecules.

The interconnected processes of protein folding, mutations, epistasis, and evolution have all been the subject of extensive analysis throughout the years due to their significance for structural and evolutionary biology. The origin (molecular basis) of epistasis—the non-additive interactions between mutations—is still, nonetheless, unknown. The existence of a new perspective on protein folding, a problem that needs to be conceived as an ‘analytic whole’, will enable us to shed light on the origin of mutational epistasis at the simplest level—within proteins—while also uncovering the reasons why the genetic background in which they occur, a key component of molecular evolution, could foster changes in epistasis effects. Additionally, because mutations are the source of epistasis, more research is needed to determine the impact of post-translational modifications, which can potentially increase the proteome’s diversity by several orders of magnitude, on mutational epistasis and protein evolvability. Finally, a protein evolution thermodynamic-based analysis that does not consider specific mutational steps or epistasis effects will be briefly discussed. Our study explores the complex processes behind the evolution of proteins upon mutations, clearing up some previously unresolved issues, and providing direction for further research.

AbstractAtherosclerosis is one of the important diseases of the circulatory system because atherosclerotic plaques cause significant disruption of blood flow. Therefore, it is very important to properly understand these processes and skillfully simulate blood flow. In our work, we consider blood flow through an abdominal aorta with iliac arteries, assuming that the right iliac artery is narrowed by an atherosclerotic lesion. Blood flow is simulated using the laminar, standard $$k-\omega$$ k - ω and standard $$k-\epsilon$$ k - ϵ models. The obtained results show that despite the use of identical initial conditions, the distribution of velocity flow and wall shear stress depends on the choice of flow simulation model. For the $$k-\epsilon$$ k - ϵ model, we obtain higher values of speed and wall shear stress on atherosclerotic plaque than in the other two models. The laminar and $$k-\omega$$ k - ω models predict larger areas where reverse blood flow occurs in the area behind the atherosclerotic lesion. This effect is associated with negative wall shear stress. These two models give very similar results. The results obtained by us, and those reported in the literature, indicate that $$k-\omega$$ k - ω model is the most suitable for blood flow analysis.

AbstractThis communication summarizes findings from the earliest encounters with extreme enthalpy‒entropy compensation, a phenomenon first detected in the 1950s by a reappraisal of isopiestic and calorimetric measurements on aqueous urea solutions in terms of solute self-association. Because concurrent studies of carboxylic acid association were confined to measurement of the equilibrium constant by conductance, IR spectrophotometry or potentiometric titration measurements, temperature-independence of the dimerization constant was mistakenly taken to signify a value of zero for Δ$$H^o$$ H o instead of (Δ$$H^o$$ H o  ‒ TΔ$$S^o$$ S o ). In those studies of small-solute self-association the extreme enthalpy‒entropy compensation was reflecting the action of water as a reactant whose hydroxyl groups were competing for the solute carbonyl involved in self-association. Such action gives rise to a positive temperature dependence of Δ$$H^o$$ H o that could well be operating in concert with that responsible for the commonly observed negative dependence for protein‒ligand interactions exhibiting extreme enthalpy‒entropy compensation, where the solvent contribution to the energetics reflects changes in the extent of ordered water structure in hydrophobic environments.

This study aimed to calculate the effect of nanopatterns’ peak sharpness, width, and spacing parameters on P. aeruginosa and S. aureus cell walls by artificial neural network and finite element analysis. Elastic and creep deformation models of bacteria were developed in silico. Maximum deformation, maximum stress, and maximum strain values of the cell walls were calculated. According to the results, while the spacing of the nanopatterns is constant, it was determined that when their peaks were sharpened and their width decreased, maximum deformation, maximum stress, and maximum strain affecting the cell walls of both bacteria increased. When sharpness and width of the nano-patterns are kept constant and the spacing is increased, maximum deformation, maximum stress, and maximum strain in P. aeruginosa cell walls increase, but a decrease in S. aureus was observed. This study proves that changes in the geometric structures of nanopatterned surfaces can show different effects on different bacteria.

Antifreeze proteins (AFPs) have unique features to sustain life in sub-zero environments due to ice recrystallization inhibition (IRI) and thermal hysteresis (TH). AFPs are in demand as agents in cryopreservation, but some antifreeze proteins have low levels of activity. This research aims to improve the cryopreservation activity of an AFPIV. In this in silico study, the helical peptide afp1m from an Antarctic yeast AFP was modeled into a sculpin AFPIV, to replace each of its four α-helices in turn, using various computational tools. Additionally, a new linker between the first two helices of AFPIV was designed, based on a flounder AFPI, to boost the ice interaction activity of the mutants. Bioinformatics tools such as ExPASy Prot-Param, Pep-Wheel, SOPMA, GOR IV, Swiss-Model, Phyre2, MODFOLD, MolPropity, and ProQ were used to validate and analyze the structural and functional properties of the model proteins. Furthermore, to evaluate the AFP/ice interaction, molecular dynamics (MD) simulations were executed for 20, 100, and 500 ns at various temperatures using GROMACS software. The primary, secondary, and 3D modeling analysis showed the best model for a redesigned antifreeze protein (AFP1mb, with afp1m in place of the fourth AFPIV helix) with a QMEAN (Swiss-Model) Z score value of 0.36, a confidence of 99.5%, a coverage score of 22%, and a p value of 0.01. The results of the MD simulations illustrated that AFP1mb had more rigidity and better ice interactions as a potential cryoprotectant than the other models; it also displayed enhanced activity in limiting ice growth at different temperatures.