Successful directed evolution examples span a broad range of improved enzyme properties. Nevertheless, the most challenging step for each single directed evolution approach is an efficient identification of improved variants from a large genetic library. Thus, the development and choice of a proper high-throughput screening is a central key for the optimization of enzymes. The detection of low enzymatic activities is especially complicated when they lead to products that are present in the metabolism of the utilized genetic host. Coupled enzymatic assays based on colorimetric products have enabled the optimization of many of such enzymes, but are susceptible to problems when applied on cell extract samples. The purpose of this study was the development of a high-throughput screening for D-glycerate dehydratase activity in cell lysates. With the aid of an automated liquid handling system, we developed a high-throughput assay that relied on a pre-treatment step of cell extract prior to performing the enzymatic and assay reactions. We could successfully apply our method, which should also be transferable to other cell extract-based peroxidase assays, to identify an improved enzyme for the dehydration of D-glycerate.
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http://dx.doi.org/10.3390/ijms21010335 | DOI Listing |
ACS Infect Dis
January 2025
Department of Pharmaceutical Engg.Tech, IIT-Banaras Hindu University,Varanasi, Uttar Pradesh 221005, India.
The type II NADH-dehydrogenase enzyme in plays a critical role in the efficient functioning of the oxidative phosphorylation pathway. It acts as the entry point for electrons in the electron transport chain, which is essential for fulfilling the energy requirements of both replicating and nonreplicating mycobacterial species. Due to the absence of the type II NADH-dehydrogenase enzyme in mammalian mitochondria, targeting the type II NADH-dehydrogenase enzyme for antitubercular drug discovery could be a vigilant approach.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China.
Hepatocellular carcinoma (HCC) is a common malignancy and generally develops from liver cirrhosis (LC), which is primarily caused by the chronic hepatitis B (CHB) virus. Reliable liquid biopsy methods for HCC screening in high-risk populations are urgently needed. Here, we establish a porous silicon-assisted laser desorption ionization mass spectrometry (PSALDI-MS) technology to profile metabolite information hidden in human serum in a high throughput manner.
View Article and Find Full Text PDFSmall
January 2025
Department of Surgical Oncology and General Surgery Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Current in vitro models for gastric cancer research, such as 2D cell cultures and organoid systems, often fail to replicate the complex extracellular matrix (ECM) found in vivo. For the first time, this study utilizes a gelatin methacryloyl (GelMA) hydrogel, a biomimetic ECM-like material, in 3D bioprinting to construct a physiologically relevant gastric cancer model. GelMA's tunable mechanical properties allow for the precise manipulation of cellular behavior within physiological ranges.
View Article and Find Full Text PDFHepatic ischemia-reperfusion injury (IRI) poses a significant threat to clinical outcomes and graft survival during hemorrhagic shock, hepatic resection, and liver transplantation. Current pharmacological interventions for hepatic IRI are inadequate. In this study, we identified ginsenoside Rk2 (Rk2), a rare dehydroprotopanaxadiol saponin, as a promising agent against hepatic IRI through high-throughput screening.
View Article and Find Full Text PDFRecent advancements in 3D structure-based molecular generative models have shown promise in expediting the hit discovery process in drug design. Despite their potential, efficiently generating a focused library of candidate molecules that exhibit both effective interactions and structural diversity at a large scale remains a significant challenge. Moreover, current studies often lack comprehensive comparisons to high-throughput virtual screening methods, resulting in insufficient evaluation of their effectiveness.
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