Exploiting the dynamic properties of covalent modification cycle for the design of synthetic analog biomolecular circuitry

Background

Cycles of covalent modification are ubiquitous motifs in cellular signalling. Although such signalling cycles are implemented via a highly concise set of chemical reactions, they have been shown to be capable of producing multiple distinct input-output mapping behaviours – ultrasensitive, hyperbolic, signal-transducing and threshold-hyperbolic.

Results

In this paper, we show how the set of chemical reactions underlying covalent modification cycles can be exploited for the design of synthetic analog biomolecular circuitry. We show that biomolecular circuits based on the dynamics of covalent modification cycles allow (a) the computation of nonlinear operators using far fewer chemical reactions than purely abstract designs based on chemical reaction network theory, and (b) the design of nonlinear feedback controllers with strong performance and robustness properties.

Conclusions

Our designs provide a more efficient route for translation of complex circuits and systems from chemical reactions to DNA strand displacement-based chemistry, thus facilitating their experimental implementation in future Synthetic Biology applications.

     

Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model

Background

A fundamental issue in systems biology is how to design simplified mathematical models for describing the dynamics of complex biochemical reaction systems. Among them, a key question is how to use simplified reactions to describe the chemical events of multi-step reactions that are ubiquitous in biochemistry and biophysics. To address this issue, a widely used approach in literature is to use one-step reaction to represent the multi-step chemical events. In recent years, a number of modelling methods have been designed to improve the accuracy of the one-step reaction method, including the use of reactions with time delay. However, our recent research results suggested that there are still deviations between the dynamics of delayed reactions and that of the multi-step reactions. Therefore, more sophisticated modelling methods are needed to accurately describe the complex biological systems in an efficient way.

Results

This work designs a two-variable model to simplify chemical events of multi-step reactions. In addition to the total molecule number of a species, we first introduce a new concept regarding the location of molecules in the multi-step reactions, which is the second variable to represent the system dynamics. Then we propose a simulation algorithm to compute the probability for the firing of the last step reaction in the multi-step events. This probability function is evaluated using a deterministic model of ordinary differential equations and a stochastic model in the framework of the stochastic simulation algorithm. The efficiency of the proposed two-variable model is demonstrated by the realization of mRNA degradation process based on the experimentally measured data.

Conclusions

Numerical results suggest that the proposed new two-variable model produces predictions that match the multi-step chemical reactions very well. The successful realization of the mRNA degradation dynamics indicates that the proposed method is a promising approach to reduce the complexity of biological systems.

     

Comparison of designed and randomly generated catalysts for simple chemical reactions

There has been recent success in designing enzymes for simple chemical reactions using a two-step protocol. In the first step, a geometric matching algorithm is used to identify naturally occurring protein scaffolds at which predefined idealized active sites can be realized. In the second step, the residues surrounding the transition state model are optimized to increase transition state binding affinity and to bolster the primary catalytic side chains. To improve the design methodology, we investigated how the set of solutions identified by the design calculations relate to the overall set of solutions for two different chemical reactions. Using a TIM barrel scaffold in which catalytically active Kemp eliminase and retroaldolase designs were obtained previously, we carried out activity screens of random libraries made to be compositionally similar to active designs. A small number of active catalysts were found in screens of 10(3) variants for each of the two reactions, which differ from the computational designs in that they reuse charged residues already present in the native scaffold. The results suggest that computational design considerably increases the frequency of catalyst generation for active sites involving newly introduced catalytic residues, highlighting the importance of interaction cooperativity in enzyme active sites.     

Treatment design,health outcomes,and demographic categories in the literature on minimum wages and health

This literature review analyzes studies from the US, Canada, the UK, and Europe from inception to April 1, 2021 and focuses on treatment designs, health outcomes, demographic categories and data issues. Study designs are classified as treatment-effect-on-the-treated (7 studies), intent-to-treat (37), and what may be called possible-effects-on-anyone (10). Treatment-effects-on-the-treated designs are best for addressing the longstanding question: does income affect health or vice versa? I argue that they are also better for estimating the overall effect of minimum wages on health. Health outcomes are grouped into seven broad categories, such as overall physiological health and behavior, and 33 narrow categories, such as self-rated health and smoking. Demographic categories include gender, race/ethnicity, and age. The preponderance of evidence suggests that studies relying on the treatment-effect-on-the-treated and possible-effects-on-anyone designs find minimum wages improve health; there is no preponderance of evidence for overall health within intent-to-treat designs. With respect to specific health outcomes and demographic categories, there is no preponderance of evidence, except for improving infant and child health. One data issue concerns whether either intent-to-treat or possible-effects-on-everyone studies are reliable given that likely more than 70 % of people in their samples earn substantially above minimum wages thereby favoring the null hypothesis. Treatment-effect-on-the-treated designs are likely the best designs, and findings are largely consistent in showing that minimum wages improve some measures of health, for example, financial anxiety.     

New algorithms and an in silico benchmark for computational enzyme design

The creation of novel enzymes capable of catalyzing any desired chemical reaction is a grand challenge for computational protein design. Here we describe two new algorithms for enzyme design that employ hashing techniques to allow searching through large numbers of protein scaffolds for optimal catalytic site placement. We also describe an in silico benchmark, based on the recapitulation of the active sites of native enzymes, that allows rapid evaluation and testing of enzyme design methodologies. In the benchmark test, which consists of designing sites for each of 10 different chemical reactions in backbone scaffolds derived from 10 enzymes catalyzing the reactions, the new methods succeed in identifying the native site in the native scaffold and ranking it within the top five designs for six of the 10 reactions. The new methods can be directly applied to the design of new enzymes, and the benchmark provides a powerful in silico test for guiding improvements in computational enzyme design.     

Visualization of electronic properties of molecules in chemical reactions

Modern computational methods allow for the tracking of entire chemical reactions, ranging from initial reactants, through transition states, and to the final products. They also permit the computation of a variety of properties that can change as the reaction proceeds from start to finish. Visualization of these reactions is often difficult and usually limited to static displays of specific steps along the reaction paths. This article describes a program, Reaction Viewer, that we have developed to visualize a chemical reaction dynamically. The article also describes the use of this program to see the movement of electrons and other electronic effects, as well as steric ramifications during the reaction.     

Schiff and pseudo-Schiff reagents: the reactions and reagents of Hugo Schiff,including a classification of various kinds of histochemical reagents used to detect aldehydes

During the 1860’s, Hugo Schiff studied many reactions between amines and aldehydes, some of which have been used in histochemistry, at times without credit to Schiff. Much controversy has surrounded the chemical structures and reaction mechanisms of the compounds involved, but modern analytical techniques have clarified the picture. I review these reactions here. I used molecular modeling software to investigate dyes that contain primary amines representing eight chemical families. All dyes were known to perform satisfactorily for detecting aldehydes in tissue sections. The models verified the correct chemical structures at various points in their reactions and also determined how decolorization occurred in those with “leuco” forms. Decolorization in the presence of sulfurous acid can occur by either adduction or reduction depending on the dye. The final condensation product with aldehyde was determined to be either a C-sulfonic acid adduct on the carbonyl carbon atom or an aminal at the same atom. Based on the various outcomes, I have placed the dyes and their reactions into five categories. Because Hugo Schiff studied the reactions between aldehydes and amines with and without various acids or alcohol, it is only proper to call each of them Schiff reactions that used various types of Schiff reagents.     

Spontaneous vesicle formation at lipid bilayer membranes.

Unilamellar vesicles are observed to form spontaneously at planar lipid bilayers agitated by exothermic chemical reactions. The membrane-binding reaction between biotin and streptavidin, two strong transmembrane neutralization reactions, and a weak neutralization reaction involving an "antacid" buffer, all lead to spontaneous vesicle formation. This formation is most dramatic when a viscosity differential exists between the two phases bounding the membrane, in which case vesicles appear exclusively in the more viscous phase. A hydrodynamic analysis explains the phenomenon in terms of a membrane flow driven by liberated reaction energy, leading to vesicle formation. These results suggest that energy liberated by intra- and extracellular chemical reactions near or at cell and internal organelle membranes can play an important role in vesicle formation, membrane agitation, or enhanced transmembrane mass transfer.     

Navigating molecular space for reaction mechanisms: an efficient,automated procedure

Mechanism is a core chemical concept that has vital implications for reaction rate, efficiency and selectivity. The discovery of mechanism is not easy due to the great diversity of possible chemical rearrangements in even relatively simple systems. For this reason, mechanisms involving bond breaking and forming are usually proposed via chemical intuition – which limits the scope of considered possibilities – and these hypotheses are then tested using simulation or experiment. This article discusses an automated simulation strategy for investigating multiple elementary step reaction mechanisms in chemical systems. The method starts from a single input structure and seeks out nearby intermediates, optimises the proposed structures and then determines the kinetic viability of each elementary step. The kinetically accessible intermediates are catalogued and new searches are performed on each unique structure. This process is repeated for an arbitrary number of steps without human intervention, and massively parallel computation enables fast searches in chemical space. Importantly, this strategy can be empirically shown to lead to a finite number of accessible structures, not a combinatorial explosion of intermediates. Therefore, the method should be able to predict multi-step reaction pathways in many interesting chemical systems. Demonstrations on organic reactions and a hydrogen storage material, ammonia borane, show that the herein proposed strategy can uncover complex reactivity without relying on existing chemical intuition.     

Novel Liposome Immunoassays for Detecting Antigens,Antibodies, and Haptens

Abstract

Recent developments in immunochemical techniques have resulted in a new ultrasensitive analytical method known as liposome immunoassay (LIA). Liposomes are key elements in performing LIAs, as discussed in this review. they are sspecifically designed to participate in immune reactions. A variety of chemical markers described to participate in immune reactions. A variety of chemical markers described can be encapsulated in liposomes and used as quantitative indicators of reactions occurring. Details are given of liposomal agglutination and lysis that are essential LIA ingredients. Basic designs for determining reaction rates, measuring immune complexes, and quantitating analytes are evaluated. Vesicle formation, marker encapsulation, and liposomal lysis are presented to provide a better understanding of LIA performance.

Basic principles of LIAs are described which include homogeneous, heterogeneous, competitive, and direct techniques. Cytolytic and complement-mediated LIAs are also compared. Advantages and disadvantages of performing LIAs electrochemically or spectrophotometrically are also presented. LIA applications discussed include measuring antigens, antibodies, drug monitoring, detecting infectious diseases, and diagnosing congenital disorders.     

Maillard reaction products in tissue proteins: New products and new perspectives

Summary. The chemical modification of protein by nonenzymatic browning or Maillard reactions increases with age and in disease. Maillard products are formed by reactions of both carbohydrate- and lipid-derived intermediates with proteins, leading to formation of advanced glycation and lipoxidation end-products (AGE/ALEs). These modifications and other oxidative modifications of amino acids increase together in proteins and are indicators of tissue aging and pathology. In this review, we describe the major pathways and characteristic products of chemical modification of proteins by carbohydrates and lipids during the Maillard reactions and identify major intersections between these pathways. We also describe a new class of intracellular sulfhydryl modifications, Cys-AGE/ALEs, that may play an important role in regulatory biology and represent a primitive link between nonenzymatic and enzymatic chemistry in biological systems.     

An Environmentally Conscious Decision Support System for Life-Cycle Management

An Internet-based environmentally conscious decision support tool (EcoDS) has been developed for life-cycle management EcoDS involves an initial vertical streamlining step, where the significant life-cycle stages, stressors, and impact categories are selected and cross-correlated. Because the streamlining is performed prior to the inventory, the approach expedites data collection. Comparisons among alternative product designs or manufacturing processes are based on two metrics: financial risk (or cost) and "residual" risk. For purposes of evaluation these two indicators are individually aggregated using a user or organization-specified value system. A salient feature of EcoDS is that this output can be condensed into a single summary matrix akin to a hybrid pro forma income statement and environmental balance sheet. The clear delineation between the tradeoffs involved in each alternative facilitates decision making by upper management. A case study on painting attematives is presented to illustrate the methodology     

The chemical defense ecology of marine unicellular plankton: constraints, mechanisms, and impacts

The activities of unicellular microbes dominate the ecology of the marine environment, but the chemical signals that determine behavioral interactions are poorly known. In particular, chemical signals between microbial predators and prey contribute to food selection or avoidance and to defense, factors that probably affect trophic structure and such large-scale features as algal blooms. Using defense as an example, I consider physical constraints on the transmission of chemical information, and strategies and mechanisms that microbes might use to send chemical signals. Chemical signals in a low Re, viscosity-dominated physical environment are transferred by molecular diffusion and laminar advection, and may be perceived at nanomolar levels or lower. Events that occur on small temporal and physical scales in the "near-field" of prey are likely to play a role in cell-cell interactions. On the basis of cost-benefit optimization and the need for rapid activation, I suggest that microbial defense system strategies might be highly dynamic. These strategies include compartmented and activated reactions, utilizing both pulsed release of dissolved signals and contact-activated signals at the cell surface. Bioluminescence and extrusome discharge are two visible manifestations of rapidly activated microbial defenses that may serve as models for other chemical reactions as yet undetected due to the technical problems of measuring transient chemical gradients around single cells. As an example, I detail an algal dimethylsulfoniopropionate (DMSP) cleavage reaction that appears to deter protozoan feeding and explore it as a possible model for a rapidly activated, short-range chemical defense system. Although the exploration of chemical interactions among planktonic microbes is in its infancy, ecological models from macroorganisms provide useful hints of the complexity likely to be found.     

Locomotory behaviour of the seven-spotted ladybird, Coccinella septempunctata, in response to five commonly used insecticides

Coccinella septempunctata is known to actively avoid substrates treated with an insecticide containing the organophosphate dimethoate. This study examines the responses of C.   septempunctata to a range of different insecticide products from three chemical classes, carbamates, organophosphates and pyrethroids. Five formulated product insecticides were compared with the active ingredients (AIs) at two different application rates and using two different spray patterns (conferring choice or no-choice designs) in a randomised block design. Coccinellids' responses differed between insecticide classes. Pyrethoid treatments significantly reduced locomotion. Organophosphates effected mixed locomotory responses, as found in previous studies. Carbamate treatments effected very few changes in locomotory activity. Similar results were found at both application rates tested and under different test designs. The results of the AI tests indicated that different components of the products were responsible for the different reactions, with the AIs being responsible for some responses but the carriers being responsible for others. Results are discussed in relation to the insecticides' modes of action and to their potential to increase the efficiency of integrated aphid control.     

A unifying family of group sequential test designs

Currently, the design of group sequential clinical trials requires choosing among several distinct design categories, design scales, and strategies for determining stopping rules. This approach can limit the design selection process so that clinical issues are not fully addressed. This paper describes a family of designs that unifies previous approaches and allows continuous movement among the previous categories. This unified approach facilitates the process of tailoring the design to address important clinical issues. The unified family of designs is constructed from a generalization of a four-boundary group sequential design in which the shape and location of each boundary can be independently specified. Methods for implementing the design using error-spending functions are described. Examples illustrating the use of the design family are also presented.     

Triple isotopic labeling and kinetic isotope effects: exposing H-transfer steps in enzymatic systems

Kinetic isotope effect (KIE) studies can provide insight into the mechanism and kinetics of specific chemical steps in complex catalytic cascades. Recent results from hydrogen KIE measurements have examined correlations between enzyme dynamics and catalytic function, leading to a surge of studies in this area. Unfortunately, most enzymatic H-transfer reactions are not rate limiting, and the observed KIEs do not reliably reflect the intrinsic KIEs on the chemical step of interest. Given their importance to understanding the chemical step under study, accurate determination of the intrinsic KIE from the observed data is essential. In 1975, Northrop developed an elegant method to assess intrinsic KIEs from their observed values [Northrop, D. B. (1975) Steady-state analysis of kinetic isotope effects in enzymic reactions. Biochemistry 14, 2644-2651]. The Northrop method involves KIE measurements using all three hydrogen isotopes, where one of them serves as the reference isotope. This method has been successfully used with different combinations of observed KIEs over the years, but criteria for a rational choice of reference isotope have never before been experimentally determined. Here we compare different reference isotopes (and hence distinct experimental designs) using the reduction of dihydrofolate and dihydrobiopterin by two dissimilar enzymes as model reactions. A number of isotopic labeling patterns have been applied to facilitate the comparative study of reference isotopes. The results demonstrate the versatility of the Northrop method and that such experiments are limited only by synthetic techniques, availability of starting materials, and the experimental error associated with the use of distinct combinations of isotopologues.     

Adverse reactions to drugs in general practice.

Of 817 patients in a general-practice survey of adverse reactions to drugs, 41% were thought to have "certainly" or "probably" had a reaction to the drug prescribed. Adverse effects on the gastrointestinal and central nervous systems were the most frequently reported, and 90% of reactions had occurred by the fourth day of treatment. More patients given drugs acting on the central nervous system and antihistamines reported reactions than those in other categories. A higher incidence of adverse drug effects is shown in this general-practice survey than in other, mainly hospital-based, surveys. Further intensive surveillance for adverse effects of drugs is recommended to provide additional information on the burden of drug-induced disease in the community.     

Improving usability and accessibility of cheminformatics tools for chemists through cyberinfrastructure and education

Some of the latest trends in cheminformatics, computation, and the world wide web are reviewed with predictions of how these are likely to impact the field of cheminformatics in the next five years. The vision and some of the work of the Chemical Informatics and Cyberinfrastructure Collaboratory at Indiana University are described, which we base around the core concepts of e-Science and cyberinfrastructure that have proven successful in other fields. Our chemical informatics cyberinfrastructure is realized by building a flexible, generic infrastructure for cheminformatics tools and databases, exporting "best of breed" methods as easily-accessible web APIs for cheminformaticians, scientists, and researchers in other disciplines, and hosting a unique chemical informatics education program aimed at scientists and cheminformatics practitioners in academia and industry.     

Effects of introducing heterologous pathways on microbial metabolism with respect to metabolic optimality

Although optimality of microbial metabolism under genetic and environmental perturbations is well studied, the effects of introducing heterologous reactions on the overall metabolism are not well understood. This point is important in the field of metabolic engineering because heterologous reactions are more frequently introduced into various microbial hosts. The genome-scale metabolic simulations of Escherichia coli strains engineered to produce 1,4-butanediol, 1,3-propanediol, and amorphadiene suggest that microbial metabolism shows much different responses to the introduced heterologous reactions in a strain-specific manner than typical gene knockouts in terms of the energetic status (e.g., ATP and biomass generation) and chemical production capacity. The 1,4-butanediol and 1,3-propanediol producers showed greater metabolic optimality than the wild-type strains and gene knockout mutants for the energetic status, while the amorphadiene producer was metabolically less optimal. For the optimal chemical production capacity, additional gene knockouts were most effective for the strain producing 1,3-propanediol, but not for the one producing 1,4-butanediol. These observations suggest that strains having heterologous metabolic reactions have metabolic characteristics significantly different from those of the wild-type strain and single gene knockout mutants. Finally, comparison of the theoretically predicted and ¹³C-based flux values pinpoints pathways with non-optimal flux values, which can be considered as engineering targets in systems metabolic engineering strategies. To our knowledge, this study is the first attempt to quantitatively characterize microbial metabolisms with different heterologous reactions. The suggested potential reasons behind each strain’s different metabolic responses to the introduced heterologous reactions should be carefully considered in strain designs.