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Thus, changes in diet may provide a novel strategy for the prevention or amelioration of CKD.The large volume of data used in cancer diagnosis presents a unique opportunity for deep learning algorithms, which improve in predictive performance with increasing data. When applying deep learning to cancer diagnosis, the goal is often to learn how to classify an input sample (such as images or biomarkers) into predefined categories (such as benign or cancerous). In this article, we examine examples of how deep learning algorithms have been implemented to make predictions related to cancer diagnosis using clinical, radiological, and pathological image data. We present a systematic approach for evaluating the development and application of clinical deep learning algorithms. Based on these examples and the current state of deep learning in medicine, we discuss the future possibilities in this space and outline a roadmap for implementations of deep learning in cancer diagnosis.Plasmodium falciparum causes the deadliest form of malaria. Adequate redox control is crucial for this protozoan parasite to overcome oxidative and nitrosative challenges, thus enabling its survival. Sulfenylation is an oxidative post-translational modification, which acts as a molecular on/off switch, regulating protein activity. To obtain a better understanding of which proteins are redox regulated in malaria parasites, we established an optimized affinity capture protocol coupled with mass spectrometry analysis for identification of in vivo sulfenylated proteins. The non-dimedone based probe BCN-Bio1 shows reaction rates over 100-times that of commonly used dimedone-based probes, allowing for a rapid trapping of sulfenylated proteins. Mass spectrometry analysis of BCN-Bio1 labeled proteins revealed the first insight into the Plasmodium falciparum trophozoite sulfenylome, identifying 102 proteins containing 152 sulfenylation sites. Comparison with Plasmodium proteins modified by S-glutathionylation and S-nitrosation showed a high overlap, suggesting a common core of proteins undergoing redox regulation by multiple mechanisms. Furthermore, parasite proteins which were identified as targets for sulfenylation were also identified as being sulfenylated in other organisms, especially proteins of the glycolytic cycle. This study suggests that a number of Plasmodium proteins are subject to redox regulation and it provides a basis for further investigations into the exact structural and biochemical basis of regulation, and a deeper understanding of cross-talk between post-translational modifications.A virtual screen was performed to identify anti-malarial compounds targeting Plasmodium falciparum heat shock 90 protein by applying a series of drug-like and commercial availability filters to compounds in the ZINC database, resulting in a virtual library of more than 13 million candidates. The goal of the virtual screen was to identify novel compounds which could serve as a starting point for the development of antimalarials with a mode of action different from anything currently used in the clinic. The screen targeted the ATP binding pocket of the highly conserved Plasmodium heat shock 90 protein, as this protein is critical to the survival of the parasite and has several significant structural differences from the human homolog. The top twelve compounds from the virtual screen were tested in vitro, with all twelve showing no antiproliferative activity against the human fibroblast cell line and three compounds exhibiting single digit or better micromolar antiproliferative activity against the chloroquine-sensitive P. falciparum 3D7 strain.Phosphoglycerate mutase 1 (PGAM1) is a promising target for cancer treatment. Herein, we found that α-mangostin and γ-mangostin exhibited moderate PGAM1 inhibitory activities, with IC50 of 7.2 μM and 1.2 µM, respectively. Based on α-mangostin, a series of 1,3,6,7-tetrahydroxyxanthone derivatives were designed, synthesized and evaluated in vitro for PGAM1 inhibition. The significant structure-activity relationships (SAR) and a fresh binding mode of this kind of new compounds were also clearly described. This study provides valuable information for further optimization of PGAM1 inhibitors with 1,3,6,7-tetrahydroxyxanthone backbone or de novo design of novel inhibitor.The development of fluorescent dyes capable of selective recognition of G-quadruplexes is essential for studying its localization and biological functions. However, considering the G-quadruplex topologies may vary significantly, the synthesis of compounds showing both selectivity and strong fluorescence properties still remains a great challenge. Recently we have developed fluorene/fluorenone derivatives with structure-specific binding towards dsRNA, indicating its potential for structure-selective ligands. Herein, we report the synthesis of novel fluorene/fluorenone derivatives and their selectivity towards various DNA structures, particularly G-quadruplexes, two of which showed strong affinity to the proto-oncogene c-myc promoter G-quadruplex.Aggregates or oligomeric forms of many intrinsically disordered proteins (IDPs), including α-synuclein, are hallmarks of neurodegenerative diseases, like Parkinson's and Alzheimer's disease, and key contributors to their pathogenesis. Due to their disordered nature and therefore lack of defined drug-binding pockets, IDPs are difficult targets for traditional small molecule drug design and are often referred to as "undruggable". The 20S proteasome is the main protease that targets IDPs for degradation and therefore small molecule 20S proteasome enhancement presents a novel therapeutic strategy by which these undruggable IDPs could be targeted. The concept of 20S activation is still relatively new, with few potent activators having been identified thus far. Lenalidomide Herein, we synthesized and evaluated a library of dihydroquinazoline analogues and discovered several promising new 20S proteasome activators. Further testing of top hits revealed that they can enhance 20S mediated degradation of α-synuclein, the IDP associated with Parkinson's disease.

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