• Title/Summary/Keyword: Receptor-based approach

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4-Hydroxy-6-Oxo-6,7-Dihydro-Thieno[2,3-b] Pyrimidine Derivatives : Synthesis and Their Biological Evaluation for the Glycine Site Acting on the N-Methyl-D-Aspartate (NMDA) Receptor

  • Hwang, Ki-Jun;Lee, Tae-Suk;Kim, Ki-Won;Kim, Beam-Tae;Lee, Chul-Min;Park, Eun-Young;Woo, Ran-Sook
    • Archives of Pharmacal Research
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    • v.24 no.4
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    • pp.270-275
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    • 2001
  • Bioisostere approach has been shown to be useful to augment potency or to modify certain physiological properties of a lead compound. Based upon well documented bioisosterism, an isosteric replacement of benzene ring of 4-hydroxy-2-quinolone compound (L-695902) with a thiophene moiety was carried out to prepare the title compounds, 4-hydroxy-6-oxo-6,7-dihydro-thieno[2,3-b] pyrimidines 15. The resulting bioisosteric compounds 15 were evaluated for their antagonistic activity (birding assay) for NMDA receptor glycine site.

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A Machine Learning Based Method for the Prediction of G Protein-Coupled Receptor-Binding PDZ Domain Proteins

  • Eo, Hae-Seok;Kim, Sungmin;Koo, Hyeyoung;Kim, Won
    • Molecules and Cells
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    • v.27 no.6
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    • pp.629-634
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    • 2009
  • G protein-coupled receptors (GPCRs) are part of multi-protein networks called 'receptosomes'. These GPCR interacting proteins (GIPs) in the receptosomes control the targeting, trafficking and signaling of GPCRs. PDZ domain proteins constitute the largest protein family among the GIPs, and the predominant function of the PDZ domain proteins is to assemble signaling pathway components into close proximity by recognition of the last four C-terminal amino acids of GPCRs. We present here a machine learning based approach for the identification of GPCR-binding PDZ domain proteins. In order to characterize the network of interactions between amino acid residues that contribute to the stability of the PDZ domain-ligand complex and to encode the complex into a feature vector, amino acid contact matrices and physicochemical distance matrix were constructed and adopted. This novel machine learning based method displayed high performance for the identification of PDZ domain-ligand interactions and allowed the identification of novel GPCR-PDZ domain protein interactions.

Application of CALUX Bioassay for Determining Dioxin Toxicity Equivalents

  • Joung, Ki-Eun
    • Proceedings of the Korea Society of Environmental Toocicology Conference
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    • 2003.10a
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    • pp.9-9
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    • 2003
  • There are growing concerns about human health effects of dioxin and dioxin like compounds such as polychlorinated dibenzo-p-dioxins (PCDDS), polychlorinated dibenzofurans (PCDFs), and polychlorinated biphenyls (PCBs), Earlier studies recognized that 2,3,7,8-tetrachloro dibenzo-p-dioxin (TCDD) and structually related dioxin like compounds invoke a number of common toxic responses that are mediated through a high-affinity cytosolic receptor protein, the AhR. Based on studies that Indicate th pivotal role of AhR in mediating most, if not all, of the dioxin toxicity, TCDD equivalency factor (TEF) approach was developed. This approach allowed the expression of toxic potential of a complex mixture as one integrated parameter, the toxic equivalency (TEQ) value.

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Discovery of Novel TRPV1 Ligands through Rational Approach Based on Its Putative Endogenous Ligand, 12(S)-HPETE

  • Min, Kyung-Hoon;Lee, Seul;Kim, Hwa-Soon;Suh, Young-Ger
    • Bulletin of the Korean Chemical Society
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    • v.31 no.6
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    • pp.1501-1505
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    • 2010
  • We report design and synthesis of the novel TRPV1 ligands through a rational approach. Simplified analogues of 12(S)-HPETE showing TRPV1 agonistic effect are disclosed. Biological evaluation revealed that substitution of functional groups without any change in conformation converted agonist into antagonist. Our work provided key information with regard to TRPV1 agonist/antagonist switching.

Experimental Studies on the Anti-inflammatory Effect of Cannabis sativa based on a Scientometric Analysis

  • Eunsoo Sohn;Sung Hyeok Kim;Sohee Jang;Se-Hui Jung;Kooyeon Lee;Eun-Hwa Sohn
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2021.04a
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    • pp.45-45
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    • 2021
  • This study aimed to explore research on bibliometric features of cannabis by applying scientometric analysis method, and to approach experimental research evaluation based on it. A total of 30,352 articles on cannabis published since 2001 from SCOPUS were analyzed using KnowledgeMatrix Plus and VOSviewer software. Results showed differences in research activities in countries where cannabis is legalized (Canada, the United States, the Netherlands) and Asian countries where its use is illegal. Related to medical cannabis, there has been a noticeable increase in the number of studies on pain, epilepsy, seizures and brain diseases such as multiple sclerosis. In the field of basic research, the number of pharmacological studies of cannabis on the cannabinoid type 1 receptor signaling pathway and inflammation and obesity has increased significantly. Subsequent experimental studies have compared the anti-inflammatory effects of four parts of Korean cannabis such as root, stem, leaf, and bark. Consistent with the predicted results of the scientometric analysis, all parts of C. sativa showed inhibitory effects on COX-2, NO/iNOS and TNF-α expression in LPS-stimulated RAW264.7 cells. These attempts provide an experimental research approach based on scientometric assessment.

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BIOPHARMACEUTIC PROPERTIES OF DRUGS: NEW TOOLS TO FACILITATE DRUG DISCOVERY AND DEVELOPMENT

  • Amidon, Gordon L.
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1997.04a
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    • pp.3-5
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    • 1997
  • Properties of a good drug include safety, efficacy, half-life and bioavailability. With the current approach to drug discovery based on receptor-based and cell-based screening methods, compounds are frequently moved into development with poor bioavailability. With low bioavailability, drug administration is typically limited to parenteral routes, thus limiting the potential wide-spread utility of these therapeutic agents. The first and most important factor limiting a drug's bioavailability is the intestinal membrane permeability which in turn determines the maximum fi:action of the dose administered that can be absorbed. We have recently utilized new intubation methods for performing permeability measurements in humans and establishing a fundamental human data base for correlating intestinal jejunal membrane permeabilities with permeabilities determined in other systems, e.g., animals, tissue culture, as well as physical chemical properties.

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Molecular Docking to Acetyl-CoA Carboxylase of 2-(4-(6-chloro-2-benzoxazolyl)oxy)phenoxy-N-phenylpropionamide Analogues and Their Herbicidal Activity (Acetyl-CoA Carboxylase에 대한 2-(4-(6-chloro-2-benzoxazolyl)oxy)phenoxy-N-phenylpropionamide 유도체들의 분자 도킹과 제초활성)

  • Choi, Won-Seok;Sung, Nack-Do
    • The Korean Journal of Pesticide Science
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    • v.14 no.3
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    • pp.183-190
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    • 2010
  • To search the new potent herbicidal agents by receptor-based approach, the interactions between receptor and substrate molecules from molecular docking to acetyl-CoA carboxylase(PDB code: 3K8X) of 2-(4-(6-chloro-2-benzoxazolyl)oxy)phenoxy-N-phenylpropionamide analogues (1-38) as substrate molecules were performed and discussed quantitatively. The most of the substrate molecules were formated 2 H-bonds between carbonyl oxygen atom of the substrate molecules and the amino acid residues (Ala1627 and Ile1735) in binding site of acetyl-CoA carboxylase (ACCase). But, the substrate molecules such as $R_l$=Acetyl substituents (6 & P9) were formated 3 H-bonds between H-bond acceptors in the substrate molecules and the H-bond donors in three amino acid residues including the rest residue (Gly 1998). Therefore, the inhibitory activity factors of the substrate molecules against ACCase are due to the H-bonding characters that will be able to apply to the optimization of herbicidal agents.

Survival Analysis of Patients with Breast Cancer using Weibull Parametric Model

  • Baghestani, Ahmad Reza;Moghaddam, Sahar Saeedi;Majd, Hamid Alavi;Akbari, Mohammad Esmaeil;Nafissi, Nahid;Gohari, Kimiya
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.18
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    • pp.8567-8571
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    • 2016
  • Background: The Cox model is known as one of the most frequently-used methods for analyzing survival data. However, in some situations parametric methods may provide better estimates. In this study, a Weibull parametric model was employed to assess possible prognostic factors that may affect the survival of patients with breast cancer. Materials and Methods: We studied 438 patients with breast cancer who visited and were treated at the Cancer Research Center in Shahid Beheshti University of Medical Sciences during 1992 to 2012; the patients were followed up until October 2014. Patients or family members were contacted via telephone calls to confirm whether they were still alive. Clinical, pathological, and biological variables as potential prognostic factors were entered in univariate and multivariate analyses. The log-rank test and the Weibull parametric model with a forward approach, respectively, were used for univariate and multivariate analyses. All analyses were performed using STATA version 11. A P-value lower than 0.05 was defined as significant. Results: On univariate analysis, age at diagnosis, level of education, type of surgery, lymph node status, tumor size, stage, histologic grade, estrogen receptor, progesterone receptor, and lymphovascular invasion had a statistically significant effect on survival time. On multivariate analysis, lymph node status, stage, histologic grade, and lymphovascular invasion were statistically significant. The one-year overall survival rate was 98%. Conclusions: Based on these data and using Weibull parametric model with a forward approach, we found out that patients with lymphovascular invasion were at 2.13 times greater risk of death due to breast cancer.

Screening of novel alkaloid inhibitors for vascular endothelial growth factor in cancer cells: an integrated computational approach

  • Shahik, Shah Md.;Salauddin, Asma;Hossain, Md. Shakhawat;Noyon, Sajjad Hossain;Moin, Abu Tayab;Mizan, Shagufta;Raza, Md. Thosif
    • Genomics & Informatics
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    • v.19 no.1
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    • pp.6.1-6.10
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    • 2021
  • Vascular endothelial growth factor (VEGF) is expressed at elevated levels by most cancer cells, which can stimulate vascular endothelial cell growth, survival, proliferation as well as trigger angiogenesis modulated by VEGF and VEGFR (a tyrosine kinase receptor) signaling. The angiogenic effects of the VEGF family are thought to be primarily mediated through the interaction of VEGF with VEGFR-2. Targeting this signaling molecule and its receptor is a novel approach for blocking angiogenesis. In recent years virtual high throughput screening has emerged as a widely accepted powerful technique in the identification of novel and diverse leads. The high resolution X-ray structure of VEGF has paved the way to introduce new small molecular inhibitors by structure-based virtual screening. In this study using different alkaloid molecules as potential novel inhibitors of VEGF, we proposed three alkaloid candidates for inhibiting VEGF and VEGFR mediated angiogenesis. As these three alkaloid compounds exhibited high scoring functions, which also highlights their high binding ability, it is evident that these alkaloids can be taken to further drug development pipelines for use as novel lead compounds to design new and effective drugs against cancer.

Pharmacological Comparison of Timosaponin A III on the 5-beta Reductase and Androgen Receptor via In Silico Molecular Docking Approach (In silico 약리학적 분석을 통한 티모사포닌 A III의 5-베타 리덕타아제 단백질 및 안드로겐 수용체 단백질 활성 부위에 대한 결합 친화도 비교 연구)

  • Kim, Dong-Chan
    • Journal of Life Science
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    • v.28 no.3
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    • pp.307-313
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    • 2018
  • Alopecia cause psychological stress due to their effect on appearance. Thus, the global market size of the alopecia treatment products are growing quickly. Timosaponin A III is the well known active ingredient of Anemarrhenae Rhizoma. In this study, we investigated and compared the binding affinity of timosaponin A III with finasteride (5-beta reductase antagonist) and minoxidil (androgen receptor antagonist) on the target protein active site by in silico computational docking studies. The three dimensional crystallographic structure of 5-beta reductase (PDB ID : 3G1R) and androgen receptor (PDB ID: 4K7A) was obtained from PDB database. In silico computational autodocking analysis was performed using PyRx, Autodock Vina, Discovery Studio Version 4.5, and NX-QuickPharm option based on scoring functions. The timosaponin A III showed optimum binding affinity (docking energy) with 5-beta reductase as -12.20 kcal/mol as compared to the finasteride (-11.70 kcal/mol) and with androgen receptor as -9.00 kcal/mol as compared to the minoxidil (-7.40 kcal/mol). The centroid X, Y, Z grid position of the timosaponin A III on the 5-beta reductase was similar (overlap) to the finasteride, but the X, Y, Z centroid grid of the timosaponin A III on the androgen receptor was significantly far from the minoxidil centroid position. These results significantly indicated that timosaponin A III could be more potent antagonist to the 5-beta reductase and androgen receptor. Therefore, the extract of Anemarrhenae Rhizoma or timosaponin A III containing biomaterials can substitute the finasteride and minoxidil and can be applied to the alopecia protecting product and related industrial fields.