Small molecular floribundiquinone B derived from medicinal plants inhibits acetylcholinesterase activity

Niu, Bing; Zhang, Mengying; Du, Pu; Jiang, Li; Qin, Rui; Su, Qiang; Chen, Fuxue; Du, Dongshu; Shu, Yilai; Chou, Kuo‐Chen

doi:10.18632/oncotarget.19169

Cited by 21 publications

(4 citation statements)

References 107 publications

(95 reference statements)

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“…In the presence of floribundiquinone B, isolated from the roots of Berchemia , CD transitions were observed from α helix to β turn, and random coil and β folds were significantly decreased. In addition to above mentioned studies in fluorescence study it was observed that, dose dependent quenching of intensity of AChE as a function of floribundiquinone B concentration was determined [60]. Also, the interaction of berberine with AChE was examined by fluorescence and CD studies to check the conformational and tertiary structure changes in the enzyme [61].…”

Section: Discussionmentioning

confidence: 99%

Comparative biophysical characterization: A screening tool for acetylcholinesterase inhibitors

Patil

Sistla

et al. 2019

PLoS ONE

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Among neurodegenerative diseases, Alzheimer’s disease (AD) is one of the most grievous disease. The oldest cholinergic hypothesis is used to elevate the level of cognitive impairment and acetylcholinesterase (AChE) comprises the major targeted enzyme in AD. Thus, acetylcholinesterase inhibitors (AChEI) constitutes the essential remedy for the treatment of AD. The study aims to evaluate the interactions between natural molecules and AChE by Surface Plasmon Resonance (SPR). The molecules like alkaloids, polyphenols and substrates of AChE have been considered for the study with a major emphasis on affinity and kinetics. To better understand the activity of small molecules, the investigation is supported by both experimental and theoretical approach such as fluorescence, Circular Dichroism (CD) and molecular docking studies. Amongst the screened ones tannic acid showed promising results compared with others. The methodology followed here have highlighted many molecules with a higher affinity towards AChE and these findings may take lead molecules generated in preclinical studies to treat neurodegenerative diseases. Additionally, we suggest a unique signature for the heterogeneous analyte model using competitive experiments for analyzing simultanous interactions of both the analytes.

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Section: Discussionmentioning

confidence: 99%

Comparative biophysical characterization: A screening tool for acetylcholinesterase inhibitors

Patil

Sistla

et al. 2019

PLoS ONE

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“…According to the Chou's 5-step rule [32] that has been widely used by many recent investigators (see, e.g., [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47]) for developing a statistical predictor, the first important and foremost thing is to construct or select a valid benchmark dataset to train and test the model [1,42,48]. In literature, the benchmark dataset usually consists of a training dataset and a testing dataset: the former is for the purpose of training a proposed model, while the latter for the purpose of testing it.…”

Section: Benchmark Datasetmentioning

confidence: 99%

pLoc-mGpos: Incorporate Key Gene Ontology Information into General PseAAC for Predicting Subcellular Localization of Gram-Positive Bacterial Proteins

Xiao¹,

Cheng²,

Su³

et al. 2017

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The basic unit in life is cell. It contains many protein molecules located at its different organelles. The growth and reproduction of a cell as well as most of its other biological functions are performed via these proteins. But proteins in different organelles or subcellular locations have different functions. Facing the avalanche of protein sequences generated in the postgenomic age, we are challenged to develop high throughput tools for identifying the subcellular localization of proteins based on their sequence information alone. Although considerable efforts have been made in this regard, the problem is far apart from being solved yet. Most existing methods can be used to deal with single-location proteins only. Actually, proteins with multi-locations may have some special biological functions that are particularly important for drug targets. Using the ML-GKR (Multi-Label Gaussian Kernel Regression) method, we developed a new predictor called "pLoc-mGpos" by in-depth extracting the key information from GO (Gene Ontology) into the Chou's general PseAAC (Pseudo Amino Acid Composition) for predicting the subcellular localization of Gram-positive bacterial proteins with both single and multiple location sites. Rigorous cross-validation on a same stringent benchmark dataset indicated that the proposed pLoc-mGpos predictor is remarkably superior to "iLoc-Gpos", the state-of-the-art predictor for the same purpose. To maximize the convenience of most experimental scientists, a user-friendly web-server for the new powerful predictor has been established at Natural Science http://www.jci-bioinfo.cn/pLoc-mGpos/, by which users can easily get their desired results without the need to go through the complicated mathematics involved.

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“…3A, there were two characteristic uorescence peaks upon excitation at 230 nm and 280 nm. The luminescence at the excitation at 230 nm resulted from the structure of the protein polypeptide chain, 22 while that at the excitation at 280 nm resulted from spontaneous uorescence amino acid residues, tyrosine, tryptophan, and phenylalanine. 23 However, cochinchinenin C has very weak uorescence in solution.…”

Section: The Interaction Between Cochinchinenin C and Glp1 Receptormentioning

confidence: 99%

Cochinchinenin C, a potential nonpolypeptide anti-diabetic drug, targets a glucagon-like peptide-1 receptor

et al. 2017

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Small molecular floribundiquinone B derived from medicinal plants inhibits acetylcholinesterase activity

Cited by 21 publications

References 107 publications

Comparative biophysical characterization: A screening tool for acetylcholinesterase inhibitors

Comparative biophysical characterization: A screening tool for acetylcholinesterase inhibitors

pLoc-mGpos: Incorporate Key Gene Ontology Information into General PseAAC for Predicting Subcellular Localization of Gram-Positive Bacterial Proteins

Cochinchinenin C, a potential nonpolypeptide anti-diabetic drug, targets a glucagon-like peptide-1 receptor

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