PubMed Health⌕ Search

Biomedical subjects

Ae Nim Pae

Publications and source records attributed to Ae Nim Pae.

At least 19 recordsLinked to original sources
PubMed2006

Lead discovery and optimization of T-type calcium channel blockers.

A series of compounds were designed as T-type calcium channel blocker containing 6 or 5 pharmacophore features from structure-based virtual screening. To optimize the suggested structure, over 130 derivatives were synthesized and their inhibitory activities on T-type calcium channel were assayed using in vitro screening system with alpha1(G) and alpha1(H) clones. For the compounds with higher activities in FDSS assay system, the efficacy was measured by patch-clamp method. Among the library with 5 features, alkaneamide derivatives (7b, 9j, 11b, 11g, 11h) with 4-arylsubstituted piperazine showed better IC(50) values than Mibefradil.

Alkanes↗
PubMed2006

3D pharmacophore based virtual screening of T-type calcium channel blockers.

Virtual screening of the commercial databases was done by using a three dimensional pharmacophore previously developed for T-type calcium channel blockers using CATALYSTtrade mark program. Biological evaluation of 25 selected virtual hits resulted in the discovery of a highly potent compound VH04 with IC(50) value of 0.10 microM, eight times as potent as the known selective T-type calcium channel blocker, mibefradil. Search for similar compounds yielded several hits with micro-molar IC(50) values and high T-type calcium channel selectivity. Based on the structure of the virtual hits, small molecule libraries with novel scaffolds were designed, synthesis and biological evaluation of which are currently in progress. This result shows a successful example of ligand based drug discovery of potent T-type calcium channel blockers.

Animals↗
PubMed2006

Synthesis and biological evaluation of novel T-type calcium channel blockers.

3,4-Dihydroquinazoline analogues substituted by N-methyl-N-(5-pyrrolidinopentyl)amine at the 2-position were synthesized and their blocking effects were evaluated for T- and N-type calcium channels. Compound 11b (KYS05080), compared to mibefradil (IC50=1.34+/-0.49 microM), was about 5-fold potent (IC50=0.26+/-0.01 microM) for T-type calcium channel (alpha1G) blocking and its selectivity of T/N-type was also improved (7.5 versus 1.4 of mibefradil).

Animals↗
PubMed2006

Novel T-type calcium channel blockers: dioxoquinazoline carboxamide derivatives.

T-type calcium channel is one of therapeutic targets for the treatment of cardiovascular diseases and neuropathic pains. Since the withdrawal of mibefradil, a T-type calcium channel blocker, there have been a lot of efforts to develop T-type calcium channel blockers. A small molecule library of dioxoquinazoline carboxamide derivatives containing 155 compounds was designed, synthesized, and biologically evaluated for T-type calcium channel blocking activity. Among those compounds synthesized, the compound 1n shows the most potent T-type calcium current blocking activity with an IC(50) value of 1.52 microM, which is comparable to that of mibefradil.

Amides↗
PubMed2006

5-Exocyclic products, 2,3,5-trisubstituted tetrahydrofurans via Prins-type cyclization.

[reaction: see text] 5-Exocyclic products, 2,3,5-trisubstituted tetrahydrofurans, were synthesized from homopropargylic alcohols with terminally substituted alkynes and various aldehydes via Prins-type cyclization. It is of interest that the exocyclic vinyl cation generated as a result of Prins-type cyclization could be trapped as a vinyl triflate when CH2Cl2 was used as a solvent, whereas in ethereal solution the vinyl cation underwent hydrolysis to give the corresponding ketone product.

Journal Article↗
PubMed2006

Classification of dopamine, serotonin, and dual antagonists by decision trees.

Dopamine antagonists (DA), serotonin antagonists (SA), and serotonin-dopamine dual antagonists (Dual) are being used as antipsychotics. A lot of dopamine and serotonin antagonists reveal non-selective binding affinity against these two receptors because the antagonists share structurally common features originated from conserved residues of binding site of the aminergic receptor family. Therefore, classification of dopamine and serotonin antagonists into their own receptors can be useful in the designing of selective antagonist for individual therapy of antipsychotic disorders. Data set containing 1135 dopamine antagonists (D2, D3, and D4), 1251 serotonin antagonists (5-HT1A, 5-HT2A, and 5-HT2C), and 386 serotonin-dopamine dual antagonists was collected from the MDDR database. Cerius2 descriptors were employed to develop a classification model for the 2772 compounds with antipsychotic activity. LDA (linear discriminant analysis), SIMCA (soft independent modeling of class analogy), RP (recursive partitioning), and ANN (artificial neural network) algorithms successfully classified the active class of each compound at the average 73.6% and predicted at the average 69.8%. The decision trees from RP, the best model, were generated to identify and interpret those descriptors that discriminate the active classes more easily. These classification models could be used as a virtual screening tool to predict the active class of new candidates.

Algorithms↗
PubMed2005

Classification of dopamine antagonists using functional feature hypothesis and topological descriptors.

The designing of selective dopamine antagonists for their own subreceptors can be useful in individual therapy of various neuropsychiatric disorders. Three-dimensional pharmacophore hypothesis and two-dimensional topological descriptors were used to investigate and compare different classes of dopamine antagonists. The structurally diverse D(3) and D(4) antagonists above preclinical trials were selected to map common structural features of highly selective and efficacious antagonists. The generated pharmacophore hypotheses were successfully employed as discriminative probe for database screening. To filter out the false positive from screening hits, the classification models by two-dimensional topological descriptors were built. Molconn-Z and BCUT topological descriptors were employed to develop a classification model for 1328 dopamine antagonists from MDDR database. The soft independent modeling of class analogy and artificial neural network, two supervised classification techniques, successfully classified D(1), D(3), and D(4) antagonists at the average of 80% rates into their own active classes. The mean classification rates for D(2) antagonists were obtained to 60% due to insufficient selective D(2) antagonists. In this paper, we report the validity of our models generated using functional feature hypotheses and topological descriptors. The combining both of classification using functional feature hypotheses and topological descriptors would be a useful tool to predict selective antagonists.

Algorithms↗
PubMed2005

KKHA-761, a potent D3 receptor antagonist with high 5-HT1A receptor affinity, exhibits antipsychotic properties in animal models of schizophrenia.

KKHA-761, 1-{4-[3-(3,4-dimethoxy-phenyl)-isoxazol-5-yl]-butyl}-4-(2-methoxy-phenyl)-piperazine, has a high affinity (Ki=3.85 nM) for human dopamine D3 receptor with about 70-fold selectivity over the human dopamine D(2L) receptor (Ki=270 nM). KKHA-761 also showed high affinity for cloned human 5-HT1A receptor (Ki=6.4 nM). KKHA-761 exhibited D3 and 5-HT1A receptor antagonist activities in vitro, reversing dopamine- or 5-HT-mediated stimulation of [35S]GTPrS binding. The in vivo pharmacological profile of KKHA-761 was compared with both typical and atypical antipsychotics including clozapine and haloperidol. Apomorphine-induced dopaminergic behavior, cage climbing, in mice was potently blocked by a single administration (i.p.) of KKHA-761 (ID50=4.06 mg/kg) or clozapine (ID50=4.0 mg/kg). Cocaine- or MK-801-induced hyperactivity in animals was markedly inhibited by KKHA-761 or clozapine. In addition, KKHA-761 significantly reversed the disruption of prepulse inhibition (PPI) produced by apomorphine in mice, indicating the antidopaminergic or antipsychotic activity of KKHA-761 in mice. However, KKHA-761 was inactive in the forced swimming behavioral despair model in mice, suggesting lack of antidepressant properties. KKHA-761 attenuated the hypothermia induced by a selective dopamine D3 agonist, 7-OH-DPAT, in mice, whereas clozapine enhanced it. Moderate doses of both KKHA-761 and clozapine did not increase serum prolactin levels in rats. Lower doses of, however, haloperidol significantly increased prolactin secretion. KKHA-761 did not induce cataleptic response up to 20 mg/kg, but significant catalepsy was shown at lower doses of clozapine and haloperidol. Furthermore, KKHA-761 showed a low incidence of rotarod ataxia (TD50=34.4 mg/kg, i.p.) in mice. The present results, therefore, suggest that KKHA-761 is a potent antipsychotic agent with combined dopamine D3 and serotonin 5-HT1A receptors modulation activity, which may further enhance its therapeutic potential for anxiety, psychotic depression, and other related disorders.

Animals↗
PubMed2005

Volsurf analysis of carbapenem antibiotics.

Classical Volsurf approach was applied to a set of 70 carbapenem compounds acting as antibiotics. Antibacterial activity of Staphylococcus aureus SG 511 and Escherichia coli 078 representing Gram positive and Gram negative bacteria, respectively, was used for the analysis. The score plots obtained from principal component analysis showed clustering of compounds according to the activity and their loading plots explained the Volsurf descriptors responsible for the separation or peculiar behaviour of these compounds. Partial Least Square analysis yielded a seven component model for S. aureus with a cross-validated r2 (q2) value of 0.684 and conventional r2 value of 0.883 and for E. coli it is a six component model with cross-validated r2 (q2) value of 0.514 and conventional r2 value of 0.756. Both the PCA and PLS models were validated by an external test set of 15 compounds. All the compounds of the test set were fairly predicted with residual values less than one log unit. Comparatively activity data of S. aureus (Gram positive) was better explained than E. coli (Gram negative) by these models.

Anti-Bacterial Agents↗
PubMed2004

CoMFA and CoMSIA 3D QSAR analysis on N1-arylsulfonylindole compounds as 5-HT6 antagonists.

Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were conducted on a series of N(1)-arylsulfonylindole compounds as 5-HT(6) antagonists. Evaluation of 20 compounds served to establish the models. The lowest energy conformer of compound 1 obtained from random search was used as template for alignment. The best predictions were obtained with CoMFA standard model (q2 = 0.643, r2 = 0.939 ) and with CoMSIA combined steric, electrostatic, hydrophobic, and hydrogen bond acceptor fields (q2 = 0.584, r2 = 0.902 ). Both the models were validated by an external test set of eight compounds giving satisfactory predictive r2 values of 0.604 and 0.654, respectively. The information obtained from CoMFA and CoMSIA 3D contour maps can be used for further design of specific 5-HT(6) antagonists.

Indoles↗
PubMed2004

Synthesis and biological evaluation of novel T-type Ca2+ channel blockers.

A small molecule library of piperazinylalkylisoxazole derivatives containing about 600 compounds was designed, synthesized and evaluated for blocking effects on T-type Ca(2+) channel. Several ligands were identified to possess high inhibitory activity against the T-type Ca(2+) channel. The compound 21 with trifluoromethyl substituents at C(3)-position of phenyl group (R(1)) and C(2)-position of phenyl group (R(2)) showed the highest inhibitory activity with IC(50) value of 1.02 microM, which is comparable to that of mibefradil.

Calcium↗
PubMed2004

Hologram quantitative structure activity relationship studies on 5-HT6 antagonists.

Predictive hologram quantitative structure activity relationship (HQSAR) models were developed for a series of arylsulfonamide compounds acting as specific 5-HT6 antagonists. A training set containing 48 compounds served to establish the model. The best HQSAR model was generated using atoms, bond, and connectivity as fragment distinction and 4-7 as fragment size showing cross-validated r2(q2) value of 0.702 and conventional r2 value of 0.971. The predictive ability of the model was validated by an external test set of 20 compounds giving satisfactory predictive r2 value of 0.678. The efficiency of HQSAR approach was further evidenced by the generation of predictive models for a training set containing 30 highly diverse, both specific and nonspecific 5-HT6 antagonists. The best HQSAR model for this training set was generated using atoms, bond, and connectivity as fragment distinction and 4-7 as fragment size showing cross-validated r2(q2) value of 0.693 and conventional r2 value of 0.923. This model was also validated by using an external test set of 10 compounds giving satisfactory predictive r2 value of 0.692. The contribution maps obtained from these models were used to explain the individual atomic contributions to the overall activity.

Models, Molecular↗
PubMed2004

3D QSAR studies on T-type calcium channel blockers using CoMFA and CoMSIA.

Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on a series of isoxazolyl compounds as a potent T-type calcium channel blockers. A set of 24 structurally similar compounds served to establish the model. Four different conformations of the most active compound were used as template structures for the alignment, three of which were obtained from Catalyst pharmacophore modeling and one by using SYBYL random search option. All CoMFA and CoMSIA models gave cross-validated r(2) (q(2)) value of more than 0.5 and conventional r(2) value of more than 0.85. The predictive ability of the models was validated by an external test set of 10 compounds, which gave satisfactory pred r(2) values ranging from 0.577 to 0.866 for all models. Best predictions were obtained with CoMFA std model of Conformer no: 3 alignment (q(2)=0.756, r(2)=0.963), giving predictive r(2) value of 0.866 for the test set. CoMFA and CoMSIA contour maps were used to analyze the structural features of the ligands accounting for the activity in terms of positively contributing physicochemical properties: steric, electrostatic, hydrophobic and hydrogen bonding fields.

Calcium Channel Blockers↗
PubMed2004

First pharmacophoric hypothesis for T-type calcium channel blockers.

A three-dimensional pharmacophore model was developed for T-type calcium channel blockers in order to map common structural features of highly active compounds by using CATALYST program. In the absence of three dimensional structure based information like binding mode and unavailability of more number of specific T-type calcium channel blockers, this hypothesis which consists of three hydrophobic regions, one hydrogen bond acceptor and one positive ionizable regions will act as a valuable tool in designing new ligands. Further more after the withdrawal of mibefradil, the first marketed T-type calcium channel blocker, due to the drug-drug interactions, there is an urgent need for more work in this interest.

Calcium Channel Blockers↗
PubMed2003

Synthesis and in vitro activity of novel isoxazolyl tetrahydropyridinyl oxazolidinone antibacterial agents.

A series of isoxazolyl tetrahydropyridinyl oxazolidinones with various substituents at the 3-position of the isoxazole ring have been synthesized and their in vitro antibacterial activities (MIC) were evaluated against several Gram-positive strains including the resistant strains of Staphyloccus and Enterococcus, such as MRSA and VRE. One of the most potent compounds synthesized, 4f, showed comparable or better activity against selected bacterial strains than those of linezolid and vancomycin.

Anti-Bacterial Agents↗
PubMed2003

The 3D-QSAR study of antitumor arylsulfonylimidazolidinone derivatives by CoMFA and CoMSIA.

Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies for a series of arylsulfonylimidazolidinone derivatives having antitumor activity were conducted using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). The in vitro cytotoxicity against human lung carcinoma (A549) exhibited a strong correlation with steric and electrostatic factors of the molecules. Four different types of models have been built using CoMFA and CoMSIA method with AM1 charge or Gasteiger-Huckel charge. By comparison of the statistical results of these models, model I obtained by CoMFA study with AM1 showed the best predictability of the antitumor activities based on the cross-validated value (0.642), conventional r2 (0.981), standard error of estimate (0.106) and PRESS value (0.170).

Antineoplastic Agents↗