Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UMLS:C0030567 (Parkinson's disease)
63,064 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The proper filling of apolar pockets at enzyme active sites is central for increasing binding activity and selectivity of hits and leads in medicinal chemistry. In our structure-based design approach toward the generation of potent enzyme inhibitors, we encountered a variety of challenges in gaining suitable binding affinity from the occupation of such pockets. We summarize them here for the first time. A fluorine scan of tricyclic thrombin inhibitors led to the discovery of favorable orthogonal dipolar C-F...CO interactions. Efficient cation-pi interactions were established in the S4 pocket of factor Xa, another serine protease from the blood coagulation cascade. Changing from mono- to bisubstrate inhibitors of catechol O-methyltransferase, a target in the L-Dopa-based treatment of Parkinson's disease, enabled the full exploitation of a previously unexplored hydrophobic pocket. Conformational preorganization of a pocket at an enzyme active site is crucial for harvesting binding affinity. This is demonstrated for two enzymes from the nonmevalonate pathway of isoprenoid biosynthesis, IspE and IspF, which are pursued as antimalarial targets. Disrupting crystallographically defined water networks on the way into a pocket might cost all of the binding free enthalpy gained from its occupation, as revealed in studies with tRNA-guanine transglycosylase, a target against shigellosis. Investigations of the active site of plasmepsin II, another antimalarial target, showed that principles for proper apolar cavity filling, originally developed for synthetic host-guest systems, are also applicable to enzyme environments.
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PMID:Structure-based drug design: exploring the proper filling of apolar pockets at enzyme active sites. 1851 Mar 66

The aim of this study was to compare the structure of gut microbiota in Parkinson's disease (PD) patients and healthy controls; and to explore correlations between gut microbiota and PD clinical features. We analyzed fecal bacterial composition of 24 PD patients and 14 healthy volunteers by using 16S rRNA sequencing. There were significant differences between PD and healthy controls, as well as among different PD stages. The putative cellulose degrading bacteria from the genera Blautia (P=0.018), Faecalibacterium (P=0.048) and Ruminococcus (P=0.019) were significantly decreased in PD compared to healthy controls. The putative pathobionts from the genera Escherichia-Shigella (P=0.038), Streptococcus (P=0.01), Proteus (P=0.022), and Enterococcus (P=0.006) were significantly increased in PD subjects. Correlation analysis indicated that disease severity and PD duration negatively correlated with the putative cellulose degraders, and positively correlated with the putative pathobionts. The results suggest that structural changes of gut microbiota in PD are characterized by the decreases of putative cellulose degraders and the increases of putative pathobionts, which may potentially reduce the production of short chain fatty acids, and produce more endotoxins and neurotoxins; and these changes is potentially associated with the development of PD pathology.
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PMID:Structural changes of gut microbiota in Parkinson's disease and its correlation with clinical features. 2853 26

Emerging evidences suggest that gut microbiota dysbiosis plays a role in Parkinson's disease (PD). However, the alterations in fecal microbiome in Chinese PD patients remains unknown. This case-control study was conducted to explore fecal microbiota compositions in Chinese PD patients. Microbiota communities in the feces of 45 patients and their healthy spouses were investigated using high-throughput Illumina Miseq sequencing targeting the V3-V4 region of 16S ribosomal RNA (rRNA) gene. The relationships between fecal microbiota and PD clinical characteristics were analyzed. The structure and richness of the fecal microbiota differed between PD patients and healthy controls. Genera Clostridium IV, Aquabacterium, Holdemania, Sphingomonas, Clostridium XVIII, Butyricicoccus and Anaerotruncus were enriched in the feces of PD patients after adjusting for age, gender, body mass index (BMI), and constipation. Furthermore, genera Escherichia/Shigella were negatively associated with disease duration. Genera Dorea and Phascolarctobacterium were negatively associated with levodopa equivalent doses (LED). Among the non-motor symptoms (NMSs), genera Butyricicoccus and Clostridium XlVb were associated with cognitive impairment. Overall, we confirmed that gut microbiota dysbiosis occurs in Chinese patients with PD. A well-controlled population involved was beneficial for the identification of microbiota associated with diseases. Additionally, the fecal microbiota was closely related to PD clinical characteristics. Elucidating these differences in the fecal microbiome will provide a foundation to improve our understanding the pathogenesis of PD and to support the potentially therapeutic options modifying the gut microbiota.
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PMID:Alteration of the fecal microbiota in Chinese patients with Parkinson's disease. 2950 2