To learn the differences between the structure-activity relationship and molecular vibration-activity relationship in the ligand-receptor interaction of the histamine receptor, 47 ligands of the histamine receptor were analyzed by structural similarity and molecular vibrational frequency patterns. The radial tree that was produced by clustering analysis of molecular vibrational frequency patterns shows its potential for the functional classification of histamine receptor ligands.
Histamine ; Ligands ; Receptors, Histamine ; Structure-Activity Relationship

Three dimensional quantitative structure activity relationship between diazabicyclo[4.2.0]octanes and nicotinic acetylcholine receptor (h alpha4beta2 and h alpha3beta4) agonists was studied using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). From 11 CoMFA and CoMSIA models, CoMSIA with steric and electrostatic fields gave the best predictive models (q2=0.926 and 0.945, r2(ncv)=0.983 and 0.988). This study can be used to develop potent h alpha4beta2 receptor agonists with low activity on h alpha3beta4 subtype.
Quantitative Structure-Activity Relationship ; Receptors, Nicotinic

The chemical characterization analysis of a medical device often results in chemical substances with unknown toxicities. While identification of each individual toxicity could result in a time-consuming hurdle with tremendous labor and financial burden, quantitative structure-activity relationship (QSAR) is of great significance for toxicity risk assessment of such chemical substances. By establishing quantitative relationship between the molecular structures or active groups of similar chemical compounds with their biological activities, QSAR can be utilized to predict the toxicity of such target compounds with significantly reduced cost and time. In this article, the authors generally summarized the mechanisms of QSAR approaches, current applications of QSAR modeling in the field of medical device, an introduction of the characteristics of publicly and commercially-available QSAR software, and briefly explored future trends of QSAR modeling in medical device toxicological risk assessment. The utilization of QSAR would undoubtedly further advance the toxicological risk assessment of medical devices.
Quantitative Structure-Activity Relationship ; Risk Assessment ; Software

Six dammarane-type triterpenoids, dammar-24-en-3β-ol (1), 3β-epicabraleahydroxy lactone (2), (E)-25-hydroperoxydammar-23-en-3β,20-diol (3), dammar-24-en-3β,20-diol (4), 3β-acetyl-20S,24S-epoxy-25-hydroxydammarane (5), and 3β-epiocotillol (6) were isolated from the methanolic extract of the bark of Aglaia elliptica. The chemical structure were identified on the basis of spectroscopic evidence and by comparison with those spectra previously reported. Compounds 1 – 6 were isolated first time from this plant. Compounds 1 – 6, along with a known synthetic analog, cabraleone (7) were evaluated their cytotoxic activity against P-388 murine leukimia cells in vitro. Among those compounds 3β-acetyl-20S,24S-epoxy-25-hydroxydammarane (5) showed strongest cytotoxic activity with IC₅₀ value of 8.02 ± 0.06 µM.
Aglaia* ; In Vitro Techniques ; Leukemia* ; Meliaceae ; Methanol ; Plants ; Structure-Activity Relationship*

Chemical investigation of the fermentation broth of a Soft Coral-Derived fungus Pestalotiopsis sp., led to the isolation of a new phthalide derivative, pestalotiolide A (1), three known analogues (2, 3 and 4), along with 5'-O-acetyl uridine (5) first isolated as a natural product. The structure of the new compound (1) was established by comprehensive spectroscopic analysis and chemical methods. Compounds 1 - 4 possessed varying degrees of antiviral activities, which was reported for the first time. Compared to the positive control ribavirin (IC50 = 418.0 microM), pestalotiolide A (1) exhibited significant anti-EV71 activity in vitro, with an IC50 value of 27.7 microM. Furthermore, the preliminary structure-activity relationship of antiviral activities was also discussed.
Fermentation ; Fungi* ; Inhibitory Concentration 50 ; Ribavirin ; Structure-Activity Relationship ; Uridine

OBJECTIVES: For successful adoption of legislation controlling registration and assessment of chemical substances, it is important to obtain sufficient toxicological experimental evidence and other related information. It is also essential to obtain a sufficient number of predicted risk and toxicity results. Particularly, methods used in predicting toxicities of chemical substances during acquisition of required data, ultimately become an economic method for future dealings with new substances. Although the need for such methods is gradually increasing, the-required information about reliability and applicability range has not been systematically provided. METHODS: There are various representative environmental and human toxicity models based on quantitative structure-activity relationships (QSAR). Here, we secured the 10 representative QSAR-based prediction models and its information that can make predictions about substances that are expected to be regulated. We used models that predict and confirm usability of the information expected to be collected and submitted according to the legislation. After collecting and evaluating each predictive model and relevant data, we prepared methods quantifying the scientific validity and reliability, which are essential conditions for using predictive models. RESULTS: We calculated predicted values for the models. Furthermore, we deduced and compared adequacies of the models using the Alternative non-testing method assessed for Registration, Evaluation, Authorization, and Restriction of Chemicals Substances scoring system, and deduced the applicability domains for each model. Additionally, we calculated and compared inclusion rates of substances expected to be regulated, to confirm the applicability. CONCLUSIONS: We evaluated and compared the data, adequacy, and applicability of our selected QSAR-based toxicity prediction models, and included them in a database. Based on this data, we aimed to construct a system that can be used with predicted toxicity results. Furthermore, by presenting the suitability of individual predicted results, we aimed to provide a foundation that could be used in actual assessments and regulations.
Humans ; Quantitative Structure-Activity Relationship* ; Reproducibility of Results ; Social Control, Formal

Estrogen receptors (ERs) are members of nuclear receptors and related to several diseases such as cancer, inflammation and osteoporosis. ERs have two forms, ERα and ERβ, which have different functions and organism distributions. Compounds selectively targeting ERβ can regulate important physiological functions and avoid the side effects caused by targeting ERα. Therefore, selective ERβ ligands have received considerable research interest in recent years. In this article, different kinds of selective ERβ ligands were summarized and their structure-activity relationships were also analyzed.
Estrogen Receptor beta ; chemistry ; Humans ; Ligands ; Structure-Activity Relationship

Water solubility is an essential physical chemistry property of organic small molecule drug and is also a very important issue in drug discovery. Good water solubility often leads to a good drug potency and pleasant pharmacokinetic profiles. To improve water solubility, structure modification is a straight and effective way based on the theory of water solubility. This review summarized valid structure modification strategies for improving water solubility including salt formation, polar group introduction, liposolubility reduction, conformation optimization and prodrug.
Drug Design ; Prodrugs ; chemistry ; Solubility ; Structure-Activity Relationship ; Water ; chemistry

Hypolipidemic polysaccharides have notable activity and safety with a range of diverse sources. In this paper, the classification of hypolipidemic polysaccharides was carried out into polysaccharide sulfate, glycosaminoglycan, homopolysaccharide and heteropolysaccharide. The hypolipidemic activity mechanism and structure-activity relationship hypothesis of those polysaccharides in recent years were briefly reviewed therefore to provide references for the study and product development of polysaccharides.
Hypolipidemic Agents ; chemistry ; pharmacology ; Polysaccharides ; chemistry ; pharmacology ; Structure-Activity Relationship

Bacterial surface glycans perform a diverse and important set of biological roles, and have been widely used in the treatment of bacterial infectious diseases. The majority of bacterial surface glycans are decorated with diverse rare functional groups, including amido, acetamidino, carboxamido and pyruvate groups. These functional groups are thought to be important constituents for the biological activities of glycans. Chemical synthesis of glycans bearing these functional groups or their variants is essential for the investigation of structure-activity relationships by a medicinal chemistry approach. To date, a broad choice of synthetic methods is available for targeting the different rare functional groups in bacterial surface glycans. This article reviews the structures of naturally occurring rare functional groups in bacterial surface glycans, and the chemical methods used for installation of these groups.
Bacterial Infections ; Humans ; Polysaccharides/chemistry* ; Structure-Activity Relationship