The Phenotypic/Genotypic Profile of OXA-10-like harboring, Carbapenem-Resistant Pseudomonas aeruginosa : Using Validated Pharmacokinetic/Pharmacodynamic in vivo Models to Further Evaluate Enzyme Functionality and Clinical Implications

In vitro MICs and in vivo pharmacodynamics of ceftazidime and cefepime human-simulated regimens (HSR) against mCIM-positive P. aeruginosa harboring different OXA-10-like subtypes were described. The murine thigh model assessed ceftazidime (2g q8h HSR) and cefepime (2g and 1g q8h HSR). Phenotypes were similar despite possessing OXA-10-like subtypes with differing spectra. Ceftazidime produced ≥1-log 10 kill in all isolates. Cefepime activity was dose-dependent and MIC driven. This approach may be useful in assessing implications of β-lactamase variants.

Thermo-responsive super porous p(NIPAM) cryogels affords enhanced thermal stability and activity for ɑ-Glucosidase enzyme by entrapping in situ

The concept of using a thermo-responsive p(NIPAM) polymer matrix for enzyme immobilization with lower critical solution temperature (LCST) value is rationalized by availability of the compartmental milieu to enzymes to operate within super porous 3-D matrix with special environmental conditions. Therefore, the enzyme immobilization within a support material will be carried out under the storage conditions of enzymes, generally ~-20 oC to afford unnecessarily loss of enzyme functionality in comparison to the other enzyme entrapment methods. Thus, here ɑ-Glucosidase as a model enzyme was entrapped within thermo-responsive super porous p(NIPAM) cryogels (ɑ-Glu@p(NIPAM) during the synthesis that uses cryogenic condition, ~-20 oC. The LSCT value for the prepared p(NIPAM) based cryogels were determined as 34.6±1.2 oC. The immobilization yield, immobilization efficiency, and activity recovery% values were calculated as 89.4±3.1, 66.2±3.3, and 74.0±3.3%, respectively at pH 6.8 and 37 oC for ɑ-Glu@p(NIPAM) cryogel system. Interestingly, the optimum working conditions were achieved as 25 oC and pH 6.8 with higher activity, 98.4±0.2% for the prepared ɑ-Glu@p(NIPAM) cryogel system. The operational and storage stability studies revealed that the prepared ɑ-Glu@p(NIPAM) cryogel system possessed much better operational and storage stability than free ɑ-Glu enzyme e.g., more than 50% activity after 10th usage and 10-day room temperature storage time. Moreover, the kinetic parameters such as Km and Vmax of free-Glu enzyme and ɑ-Glu@p(NIPAM) cryogel system were calculated by non-linear Michaelis-Menten equation.

Acute Intermittent Porphyria: An Overview of Therapy Developments and Future Perspectives Focusing on Stabilisation of HMBS and Proteostasis Regulators

Acute intermittent porphyria (AIP) is an autosomal dominant inherited disease with low clinical penetrance, caused by mutations in the hydroxymethylbilane synthase (HMBS) gene, which encodes the third enzyme in the haem biosynthesis pathway. In susceptible HMBS mutation carriers, triggering factors such as hormonal changes and commonly used drugs induce an overproduction and accumulation of toxic haem precursors in the liver. Clinically, this presents as acute attacks characterised by severe abdominal pain and a wide array of neurological and psychiatric symptoms, and, in the long-term setting, the development of primary liver cancer, hypertension and kidney failure. Treatment options are few, and therapies preventing the development of symptomatic disease and long-term complications are non-existent. Here, we provide an overview of the disorder and treatments already in use in clinical practice, in addition to other therapies under development or in the pipeline. We also introduce the pathomechanistic effects of HMBS mutations, and present and discuss emerging therapeutic options based on HMBS stabilisation and the regulation of proteostasis. These are novel mechanistic therapeutic approaches with the potential of prophylactic correction of the disease by totally or partially recovering the enzyme functionality. The present scenario appears promising for upcoming patient-tailored interventions in AIP.

Design to Data for mutants of β-glucosidase B from Paenibacillus polymyxa: I45K, A357S, I20A, I20V, and I20E

ABSTRACTThe relatively small size and scope of most current datasets of biophysical mutation effects in enzymes limit the ability to develop data-driven algorithms enabling accurate generative modeling tools for designing novel enzyme function. Here, the Michaelis-Menten constants (kcat, KM, and kcat/KM) and thermal stability (TM) of five new mutations of β-glucosidase B from Paenibacillus polymyxa (BglB) are characterized. Foldit software was used to create molecular models of the mutants, for which synthetic genes were constructed and the corresponding proteins produced and purified from E. coli. It was found that mutations that disrupted pre-existing hydrogen bonds near the active site had reduced expression in contrast to mutations at the same site that did not affect native hydrogen bonding. This is consistent with previous results showing the relationship between hydrogen bonding and enzyme functionality. These mutants contribute to a growing data set of >100 mutants that have been characterized for expression, kinetic, and thermal properties

Synthesis and Characterization of Bio-Active GFP-P4VP Core–Shell Nanoparticles

Bioactive core–shell nanoparticles (CSNPs) offer the unique ability for protein/enzyme functionality in non-native environments. For many decades, researchers have sought to develop synthetic materials which mimic the efficiency and catalytic power of bioactive macromolecules such as enzymes and proteins. This research studies a self-assembly method in which functionalized, polymer-core/protein-shell nanoparticles are prepared in mild conditions. Transmission electron microscopy (TEM) and dynamic light scattering (DLS) techniques were utilized to analyze the size and distribution of the CSNPs. The methods outlined in this research demonstrate a mild, green chemistry synthesis route for CSNPs which are highly tunable and allow for enzyme/protein functionality in non-native conditions.

Dioxygen dissociation over man-made system at room temperature to form the active α-oxygen for methane oxidation

Activation of dioxygen attracts enormous attention due to its potential for utilization of methane and applications in other selective oxidation reactions. We report a cleavage of dioxygen at room temperature over distant binuclear Fe(II) species stabilized in an aluminosilicate matrix. A pair of formed distant α-oxygen species [i.e., (Fe(IV)═O)2+] exhibits unique oxidation properties reflected in an outstanding activity in the oxidation of methane to methanol at room temperature. Designing a man-made system that mimicks the enzyme functionality in the dioxygen activation using both a different mechanism and structure of the active site represents a breakthrough in catalysis. Our system has an enormous practical importance as a potential industrial catalyst for methane utilization because (i) the Fe(II)/Fe(IV) cycle is reversible, (ii) the active Fe centers are stable under the reaction conditions, and (iii) methanol can be released to gas phase without the necessity of water or water-organic medium extraction.

Enzyme Function Classification

Enzymes are important in our life and it plays a vital role in the most biological processes in the living organisms and such as metabolic pathways. The classification of enzyme functionality from a sequence, structure data or the extracted features remains a challenging task. Traditional experiments consume more time, efforts, and cost. On the other hand, an automated classification of the enzymes saves efforts, money and time. The aim of this chapter is to cover and reviews the different approaches, which developed and conducted to classify and predict the functions of the enzyme proteins in addition to the new trends and challenges that could be considered now and in the future. The chapter addresses the main three approaches which are used in the classification the function of enzymatic proteins and illustrated the mechanism, pros, cons, and examples for each one.

Enzyme Function Classification

Enzymes are important in our life and it plays a vital role in the most biological processes in the living organisms and such as metabolic pathways. The classification of enzyme functionality from a sequence, structure data or the extracted features remains a challenging task. Traditional experiments consume more time, efforts, and cost. On the other hand, an automated classification of the enzymes saves efforts, money and time. The aim of this chapter is to cover and reviews the different approaches, which developed and conducted to classify and predict the functions of the enzyme proteins in addition to the new trends and challenges that could be considered now and in the future. The chapter addresses the main three approaches which are used in the classification the function of enzymatic proteins and illustrated the mechanism, pros, cons, and examples for each one.