Impact of Nonnative Interactions on the Binding Kinetics of Intrinsically Disordered p53 with MDM2: Insights from All-Atom Simulation and Markov State Model Analysis.

Intrinsically disordered proteins (IDPs) lack a well-defined tertiary structure but are essential players in various biological processes. Their ability to undergo a disorder-to-order transition upon binding to their partners, known as the folding-upon-binding process, is crucial for their function. One classical example is the intrinsically disordered transactivation domain (TAD) of the tumor suppressor protein p53, which quickly forms a structured α-helix after binding to its partner MDM2, with clinical significance for cancer treatment. However, the contribution of nonnative interactions between the IDP and its partner to the rapid binding kinetics, as well as their interplay with native interactions, is not well understood at the atomic level. Here, we used molecular dynamics simulation and Markov state model (MSM) analysis to study the folding-upon-binding mechanism between p53-TAD and MDM2. Our results suggest that the system progresses from the nascent encounter complex to the well-structured encounter complex and finally reaches the native complex, following an induced-fit mechanism. We found that nonnative hydrophobic and hydrogen bond interactions, combined with native interactions, effectively stabilize the nascent and well-structured encounter complexes. Among the nonnative interactions, Leu25p53-Leu54MDM2 and Leu25p53-Phe55MDM2 are particularly noteworthy, as their interaction strength is close to the optimum. Evidently, strengthening or weakening these interactions could both adversely affect the binding kinetics. Overall, our findings suggest that nonnative interactions are evolutionarily optimized to accelerate the binding kinetics of IDPs in conjunction with native interactions.

Uni-GBSA: an open-source and web-based automatic workflow to perform MM/GB(PB)SA calculations for virtual screening.

Binding free energy calculation of a ligand to a protein receptor is a fundamental objective in drug discovery. Molecular mechanics/Generalized-Born (Poisson-Boltzmann) surface area (MM/GB(PB)SA) is one of the most popular methods for binding free energy calculations. It is more accurate than most scoring functions and more computationally efficient than alchemical free energy methods. Several open-source tools for performing MM/GB(PB)SA calculations have been developed, but they have limitations and high entry barriers to users. Here, we introduce Uni-GBSA, a user-friendly automatic workflow to perform MM/GB(PB)SA calculations, which can perform topology preparation, structure optimization, binding free energy calculation and parameter scanning for MM/GB(PB)SA calculations. It also offers a batch mode that evaluates thousands of molecules against one protein target in parallel for efficient application in virtual screening. The default parameters are selected after systematic testing on the PDBBind-2011 refined dataset. In our case studies, Uni-GBSA produced a satisfactory correlation with the experimental binding affinities and outperformed AutoDock Vina in molecular enrichment. Uni-GBSA is available as an open-source package at https://github.com/dptech-corp/Uni-GBSA. It can also be accessed for virtual screening from the Hermite web platform at https://hermite.dp.tech. A free Uni-GBSA web server of a lab version is available at https://labs.dp.tech/projects/uni-gbsa/. This increases user-friendliness because the web server frees users from package installations and provides users with validated workflows for input data and parameter settings, cloud computing resources for efficient job completions, a user-friendly interface and professional support and maintenance.

CRISPR/Cas12a-Mediated Genome Editing in Thioalkalivibrio versutus.

Haloalkaliphilic Thioalkalivibrio versutus, a dominant species for sulfide removal, has attracted increasing attention. However, research on T. versutus is limited by the lack of genetic manipulation tools. In this work, we developed a CRISPR/AsCas12a-mediated system in T. versutus for an efficient and implementable genome editing workflow. Compared to the CRISPR/Cas9-mediated system, the CRISPR/AsCas12a system exhibited enhanced editing efficiency. Additionally, as Cas12a is capable of processing the crRNA maturation independently, the CRISPR/AsCas12a system allowed multiplex gene editing and large-fragment DNA knockout by expressing more than one crRNA under the control of one promoter. Using the CRISPR/AsCas12a system, five key genes of the elemental sulfur oxidation pathway were knocked out. Simultaneous deletion of the rhd and tusA genes disrupted the ability of T. versutus to metabolize elemental sulfur, resulting in a 24.7% increase in elemental sulfur generation and a 15.2% reduction in sulfate production. This genome engineering strategy significantly improved our understanding of sulfur metabolism in Thioalkalivibrio spp.

Optical sensor arrays for the detection and discrimination of natural products.

Covering: up to the end of 2022Natural products (NPs) have found uses in medicine, food, cosmetics, materials science, environmental protection, and other fields related to our life. Their beneficial properties along with potential toxicities make the detection and discrimination of NPs crucial for their applications. Owing to the merits of low cost and simple operation, optical sensor arrays, including colorimetric and fluorometric sensor arrays, have been widely applied in the detection of small molecule NPs and discrimination of structurally similar small molecule NPs or complex mixtures of NPs. This review provides a brief introduction to the optical sensor array and focuses on its progress toward the detection and discrimination of NPs. We summarized the design principle of sensor arrays toward various NPs (i.e., saccharides and polyhydroxy compounds, organic acids, flavonoids, organic sulfur compounds, amines, amino acids, and saponins) based on their functional groups and characteristic chemical properties, along with representative examples. Moreover, the challenges and potential directions for further research of optical sensor arrays for NPs are proposed.

Organic layer characteristics and microbial utilization of the biosulfur globules produced by haloalkaliphilic Thioalkalivibrio versutus D301 during biological desulfurization.

The haloalkaliphilic genus Thioalkalivibrio, widely used in bio-desulfurization, can oxidize H2S to So, which is excreted outside cells in the form of biosulfur globules. As by-product of bio-desulfurization, information on biosulfur globules is still very scant, which limits its high-value utilization. In this paper, the characteristics of biosulfur globules produced by Thioalkalivibrio versutus D301 and the possibility of cultivating sulfur-oxidizing bacteria as a high biological-activity sulfur source were studied. The sulfur element in the biosulfur globules existed in the form α-S8, which was similar to chemical sulfur. The biosulfur globule was wrapped with an organic layer composed of polysaccharides and proteins. The composition of this organic layer could change. In the formation stage of biosulfur globules, the organic layer was dominated by polysaccharides, and in later stage, proteins became the main component. We speculated that the organic layer was mainly formed by the passive adsorption of organic matter secreted by cells. The existence of organic layer endowed biosulfur with better bioavailability. Compared with those found using chemical sulfur, the growth rates of Acidithiobacillus thiooxidans ATCC 19377T, Thiomicrospira microaerophila BDL05 and Thioalkalibacter halophilus BDH06 using biosulfur increased several folds to an order of magnitude, indicating that biosulfur was a good sulfur source for cultivating sulfur-oxidizing bacteria.

Enhanced Biodesulfurization with a Microbubble Strategy in an Airlift Bioreactor with Haloalkaliphilic Bacterium Thioalkalivibrio versutus D306.

Biodesulfurization under haloalkaline conditions requires limiting oxygen and additional energy in the system to deliver high mixing quality control. This study considers biodesulfurization in an airlift bioreactor with uniform microbubbles generated by a fluidic oscillation aeration system to enhance the biological desulfurization process and its hydrodynamics. Fluidic oscillation aeration in an airlift bioreactor requires minimal energy input for microbubble generation. This aeration system produced 81.87% smaller average microbubble size than the direct aeration system in a bubble column bioreactor. The biodesulfurization phase achieved a yield of 94.94% biological sulfur, 84.91% biological sulfur selectivity, and 5.06% sulfur oxidation performance in the airlift bioreactor with the microbubble strategy. The biodesulfurization conditions of thiosulfate via Thioalkalivibrio versutus D306 are revealed in this study. The biodesulfurization conditions in the airlift bioreactor with the fluidic oscillation aeration system resulted in the complete conversion of thiosulfate with 27.64% less sulfate production and 10.34% more biological sulfur production than in the bubble column bioreactor. Therefore, pleasant hydrodynamics via an airlift bioreactor mechanism with microbubbles is favored for biodesulfurization under haloalkaline conditions.

A ratiometric fluorescent sensor based on carbon dots for rapid determination of bisulfite in sugar.

Sulfite is widely used in food and drugs as a preservative; however, excessive intake of exogenous sulfite is harmful to human health. Hence, developing effective methods to detect sulfite and its derivatives is vital. Herein, we present a ratiometric fluorescent sensor for bisulfite based on a dual-emission boron-nitrogen double-doped carbon dots (BNCDs)-Cr(VI) system. After adding bisulfite, the fluorescence intensity at 450 nm was significantly enhanced because of the inhibition of the inner filter effect, while the fluorescence emission at 535 nm decreased. A sensor-based method was developed to determine bisulfite with a linearity range of 0 - 10.0 × 102 µmol/L and recoveries of 97.33% - 109.00%, achieving the quantitative detection of bisulfite in real sugar samples. Moreover, a paper test strip-based visual measuring system for bisulfite was developed, which realized the rapid and semiquantitative detection of bisulfite.

Composition and key-influencing factors of bacterial communities active in sulfur cycling of soda lake sediments.

Bacteria are important participants in sulfur cycle of the extremely haloalkaline environment, e.g. soda lake. The effects of physicochemical factors on the composition of sulfide-oxidizing bacteria (SOB) and sulfate-reducing bacteria (SRB) in soda lake have remained elusive. Here, we surveyed the community structure of total bacteria, SOB and SRB based on 16S rRNA, soxB and dsrB gene sequencing, respectively, in five soda lakes with different physicochemical factors. The results showed that the dominant bacteria belonged to the phyla Proteobacteria, Bacteroidetes, Halanaerobiaeota, Firmicutes and Actinobacteria. SOB and SRB were widely distributed in lakes with different physicochemical characteristics, and the community composition were different. In general, salinity and inorganic nitrogen sources (NH4+-N, NO3--N) were the most significant factors. Specifically, the communities of SOB, mainly including Thioalkalivibrio, Burkholderia, Paracoccus, Bradyrhizobium, and Hydrogenophaga genera, were remarkably influenced by the levels of NH4+-N and salinity. Yet, for SRB communities, including Desulfurivibrio, Candidatus Electrothrix, Desulfonatronospira, Desulfonatronum, Desulfonatronovibrio, Desulfonatronobacter and so on, the most significant determinants were salinity and NO3--N. Besides, Rhodoplanes played a significant role in the interaction between SOB and SRB. From our results, the knowledge regarding the community structures of SOB and SRB in extremely haloalkaline environment was extended.

The Cradle-to-Cradle Life Cycle Assessment of Polyethylene terephthalate: Environmental Perspective.

Over the last several years, the number of concepts and technologies enabling the production of environmentally friendly products (including materials, consumables, and services) has expanded. One of these ways is cradle-to-cradle (C2C) certifiedTM. Life cycle assessment (LCA) technique is used to highlight the advantages of C2C and recycling as a method for reducing plastic pollution and fossil depletion by indicating the research limitations and gaps from an environmental perspective. Also, it estimates the resources requirements and focuses on sound products and processes. The C2C life cycle measurements for petroleum-based poly (ethylene terephthalate) (PET) bottles, with an emphasis on different end-of-life options for recycling, were taken for mainland China, in brief. It is considered that the product is manufactured through the extraction of crude oil into ethylene glycol and terephthalic acid. The CML analysis method was used in the LCIA for the selected midpoint impact categories. LCA of the product has shown a drastic aftermath in terms of environmental impacts and energy use. But the estimation of these consequences is always dependent on the system and boundary conditions that were evaluated throughout the study. The impacts that burden the environment are with the extraction of raw material, resin, and final product production. Minor influences occurred due to the waste recycling process. This suggests that waste degradation is the key process to reduce the environmental impacts of the production systems. Lowering a product's environmental impact can be accomplished in a number of ways, including reducing the amount of materials used or choosing materials with a minimal environmental impact during manufacture processes.

Fast Discrimination of Sialylated N-Glycan Linkage Isomers with One-Step Derivatization by Microfluidic Capillary Electrophoresis-Mass Spectrometry.

Linkage isomers (α-2,3- or α-2,6-linkage) of sialylated N-glycans are involved in the emergence and progression of some diseases, so they are of great significance for diagnosing and monitoring diseases. However, the qualitative and quantitative analysis of sialylated N-glycan linkage isomers remains challenging due to their low abundance and limited isomeric separation techniques. Herein, we developed a novel strategy integrating one-step sialic acid derivatization, positive charge-sensitive separation and highly sensitive detection based on microfluidic capillary electrophoresis-mass spectrometry (MCE-MS) for fast and specific analysis of α-2,3- and α-2,6-linked sialylated N-glycan isomers. A kind of easily charged long-chain amino compound was screened first for one-step sialic acid derivatization so that only α-2,3- and α-2,6-linked isomers can be quickly and efficiently separated within 10 min by MCE due to the difference in structural conformation, whose separation mechanism was further theoretically supported by molecular dynamic simulation. In addition, different sialylated N-glycans were separated in order according to the number of sialic acids, so that a migration time-based prediction of the number of sialic acids was achieved. Finally, the sialylated N-glycome of human serum was profiled within 10 min and 6 of the 52 detected sialylated N-glycans could be potential diagnostic biomarkers of cervical cancer (CC), whose α-2,3- and α-2,6-linked isomers were distinguished by α-2,3Neuraminidase S.

The importance of the compact disordered state in the fuzzy interactions between intrinsically disordered proteins.

The intrinsically disordered C-terminal domain (CTD) of protein 4.1G is able to specifically bind a 26-residue intrinsically disordered region of NuMA, forming a dynamic fuzzy complex. As one of a few cases of extremely fuzzy interactions between two intrinsically disordered proteins/regions (IDPs/IDRs) without induced folding, the principle of the binding is unknown. Here, we combined experimental and computational methods to explore the detailed mechanism of the interaction between 4.1G-CTD and NuMA. MD simulations suggest that the kinetic hub states in the structure ensemble of 4.1G-CTD are favorable in the fuzzy complex. The feature of these hub states is that the binding 'hot spot' motifs ßA and ßB exhibit ß strand propensities and are well packed to each other. The binding between 4.1G-CTD and NuMA is disrupted at low pH, which changes the intramolecular packing of 4.1G-CTD and weakens the packing between ßA and ßB motifs. Low pH conditions also lead to increased hydrodynamic radius and acceleration of backbone dynamics of 4.1G-CTD. All these results underscore the importance of tertiary structural arrangements and overall compactness of 4.1G-CTD in its binding to NuMA, i.e. the compact disordered state of 4.1G-CTD is crucial for binding. Different from the short linear motifs (SLiMs) that are often found to mediate IDP interactions, 4.1G-CTD functions as an intrinsically disordered domain (IDD), which is a functional and structural unit similar to conventional protein domains. This work sheds light on the molecular recognition mechanism of IDPs/IDRs and expands the conventional structure-function paradigm in protein biochemistry.

Unexpected Role of a Short-Chain Dehydrogenase/Reductase Family Protein in Type II Polyketide Biosynthesis.

We investigated the biosynthetic pathway of type II polyketide murayaquinone. The murayaquinone biosynthetic cluster contains genes for three putative short-chain dehydrogenase/reductase family enzymes including MrqF and MrqH with known functions and MrqM with unclear function. We report the functional characterization of MrqM for its role in murayaquinone biosynthesis. Our gene deletion experiment and structural elucidation of the accumulated intermediates revealed that MrqM is related with the second polyketide ring cyclization, because the inactivation of mrqM resulted in the accumulation of an off-pathway intermediate SEK43 and disrupted the second and third ring cyclization. Site-directed mutagenesis studies showed that two conserved residues in MrqM and homologous proteins Y151 and K155 are essential for its activity. The previously proposed second/third ring cyclase, MrqD, might instead play another important role in the chain releasing step of the murayaquinone biosynthesis.

Recent advances in microbial capture of hydrogen sulfide from sour gas via sulfur-oxidizing bacteria.

Biological desulfurization offers several remarkably environmental advantages of operation at ambient temperature and atmospheric pressure, no demand of toxic chemicals as well as the formation of biologically re-usable sulfur (S0), which has attracted increasing attention compared to conventionally physicochemical approaches in removing hydrogen sulfide from sour gas. However, the low biomass of SOB, the acidification of process solution, the recovery of SOB, and the selectivity of bio-S0 limit its industrial application. Therefore, more efforts should be made in the improvement of the BDS process for its industrial application via different research perspectives. This review summarized the recent research advances in the microbial capture of hydrogen sulfide from sour gas based on strain modification, absorption enhancement, and bioreactor modification. Several efficient solutions to limitations for the BDS process were proposed, which paved the way for the future development of BDS industrialization.

Voltage-Driven Flipping of Zwitterionic Artificial Channels in Lipid Bilayers to Rectify Ion Transport.

We developed a voltage-sensitive artificial transmembrane channel by mimicking the dipolar structure of natural alamethicin channel. The artificial channel featured a zwitterionic structure and could undergo voltage-driven flipping in the lipid bilayers. Importantly, this flipping of the channel could lead to their directional alignment in the bilayers and rectifying behavior for ion transport.

Revealing sulfate role in empowering the sulfur-oxidizing capacity of Thioalkalivibrio versutus D301 for an enhanced desulfurization process.

Haloalkaliphilic Thioalkalivibrio, a dominant genus for sulfide removal, has attracted growing interest. However, the bacterial biological response to this process's final product, sulfate, has not been well-studied. Here, thiosulfate oxidation and sulfur formation by T. versutus D301 were being enhanced with increasing sulfate supply. With the addition of 0.73 M sulfate, the thiosulfate utilization rate and sulfur production were improved by 68.1% and 120.1% compared with carbonate-grown control at the same salinity (1.8 M). For sulfate-grown cells, based on metabolic analysis, the downregulation of central carbon metabolism indicated that sulfate triggered a decrease in energy conservation efficiency. Additionally, the gene expression analysis further revealed that sulfate induced the inhibition of sulfur to sulfate oxidation, causing the upregulation of thiosulfate to sulfur oxidation for providing cells with additional energy. This study enhances researchers' understanding regarding the sulfate effect on the bio-desulfurization process and presents a new perspective of optimizing the biotechniques.

[Inhibition of biological desulfurization by organosulfur: a review].

As a green and economic emerging technology, biological desulfurization is popular. However, biological desulfurization is inhibited by organosulfur in the treatment gases which cannot be ignored. This article summarizes relevant studies on the influence of organosulfur on biological desulfurization in recent years, including the types and physicochemical characteristics of organosulfur, the influence of organosulfur on the desulfurization process, the reaction mechanism of organosulfur, the interplay between organosulfur and some operating conditions, and species of microorganisms that are tolerant to organosulfur. Methods for mitigating the effect of organosulfur on the desulfurization process are discussed, to provide references for the stable and efficient operation of biological desulfurization.

Transcriptional response of Thialkalivibrio versutus D301 to different sulfur sources and identification of the sulfur oxidation pathways.

The genus Thialkalivibrio plays an essential role in the biological desulfurization system. However, to date, the sulfur oxidation pathways of Thialkalivibrio are not clearly understood. Here, we performed transcriptomic analysis on Thialkalivibrio versutus D301 with either thiosulfate or chemical sulfur as the sulfur source to understand it. The results show that T. versutus D301 has a higher growth rate and sulfur oxidation activity when thiosulfate is utilized. The use of chemical sulfur as sulfur source leads to decreased expression of genes involved in carbon metabolism, ribosome synthesis and oxidative phosphorylation in T. versutus D301. Potentially due to the adsorption to sulfur particles, the genes related to flagellum assembly and motivation are significantly induced in T. versutus D301 in the presence of chemical sulfur. In the periplasm, both thiosulfate and polysulfide from the chemical sulfur are oxidized to sulfate via the similar truncated Sox system (SoxAXYZB). Then, part of polysulfide reached to cytoplasm through an unidentified route is oxidized to sulfite by the Dsr-like system. The sulfite in the cytoplasm is further catalyzed to sulfate by SoxB or SoeABC. Overall, the difference in the oxidation rates of D301 can be mainly attributed to the bioavailability of the two sulfur sources, not the sulfur oxidation pathways.

The Role of Calcium in Regulating the Conformational Dynamics of d-Galactose/d-Glucose-Binding Protein Revealed by Markov State Model Analysis.

The d-glucose/d-galactose-binding protein (GGBP) from Escherichia coli is a substrate-binding protein (SBP) associated with sugar transport and chemotaxis. It is also a calcium-binding protein, which makes it unique in the SBP family. However, the functional importance of Ca2+ binding is not fully understood. Here, the calcium-dependent properties of GGBP were explored by all-atom molecular dynamics simulations and Markov state model (MSM) analysis as well as single-molecule Förster resonance energy transfer (smFRET) measurements. In agreement with previous experimental studies, we observed the structure stabilization effect of Ca2+ binding on the C-terminal domain of GGBP, especially the Ca2+-binding site. Interestingly, the MSMs of calcium-depleted GGBP and calcium-bound GGBP (GGBP/Ca2+) demonstrate that Ca2+ greatly stabilizes the open conformation, and smFRET measurements confirmed this result. Further analysis reveals that Ca2+ binding disturbs the local hydrogen bonding interactions and the conformational dynamics of the hinge region, thereby weakening the long-range interdomain correlations to favor the open conformation. These results suggest an active regulatory role of Ca2+ binding in GGBP, which finely tunes the conformational distribution. The work sheds new light on the study of calcium-binding proteins in prokaryotes.

Assessing the effect and related mechanism of naringenin on the proliferation, osteogenic differentiation and endothelial differentiation of human periodontal ligament stem cells.

Naringenin (NAR) is a natural flavonoid which exerts extensive biological activity, including anti-oxidation, anti-inflammation, anti-cancer, immune regulation and so on. However, the effect and mechanism of NAR in the alveolar bone regeneration are still unclear, which limits its clinical use. Hence, we investigated the effects of NAR in the proliferation, osteogenic and endothelial differentiation of human periodontal ligament stem cells (hPDLSCs) and explore the possible mechanism. The results showed that the proper concentrations (100 nM-10 µM) of NAR can promote the proliferation rate, osteogenic and endothelial differentiation of hPDLSCs. And the 1 µM NAR had the best proliferation promoting effect, while the 10 µM NAR had the best ability of promoting osteogenic and endothelial differentiation. NAR also promoted the mRNA expression of SDF-1 in a concentration dependent manner in PDLSCs. After adding the selective CXCR4 antagonist AMD3100, the osteogenic effect of NAR on PDLSCs is slightly enhanced, while the endothelial differentiation effect of NAR on hPDLSCs is attenuated. In summary, these results indicated that NAR promoted the proliferation of hPDLSCs, and promoted endothelial differentiation of hPDLSCs via SDF-1 to activate SDF-1/CXCR4 signaling pathway. However, the mechanism of which SDF-1 related signaling pathway is activated by NAR to enhance the osteogenic differentiation of hPDLSCs still needs to be investigated.

Revealing Thermodynamics and Kinetics of Lipid Self-Assembly by Markov State Model Analysis.

Self-assembly is ubiquitous in the realm of biology and has become an elegant bottom-up approach to fabricate new materials. Although molecular dynamics (MD) simulations can complement experiments by providing the missing atomic details, it still remains a grand challenge to reveal the thermodynamic and kinetic information on a self-assembly system. In this work, we demonstrate for the first time that the Markov state model analysis can be used to delineate the variation of free energy during the self-assembly process of a typical amphiphilic lipid dipalmitoyl-phosphatidylcholine (DPPC). Free energy profiles against the solvent-accessible surface area and the root-mean-square deviation have been derived from extensive MD results of more than five hundred trajectories, which identified a metastable crossing-cylinder (CC) state and a transition state of the distorted bilayer with a free energy barrier of ∼0.02 kJ mol-1 per DPPC lipid, clarifying a long-standing speculation for 20 years that there exists a free energy barrier during lipid self-assembly. Our simulations also unearth two mesophase structures at the early stage of self-assembly, discovering two assembling pathways to the CC state that have never been reported before. Further thermodynamic analysis derives the contributions from the enthalpy and the entropy terms to the free energy, demonstrating the critical role played by the enthalpy-entropy compensation. Our strategy opens the door to quantitatively understand the self-assembly processes in general and provides new opportunities for identifying common thermodynamic and kinetic patterns in different self-assembly systems and inspiring new ideas for experiments. It may also contribute to the refinement of force field parameters of various self-assembly systems.