Application of Predictive QSAR Models to Database Mining: Identification and Experimental Validation of Novel Anticonvulsant Compounds
摘要:
We have developed a drug discovery strategy that employs variable selection quantitative structure-activity relationship (QSAR) models for chemical database mining. The approach starts with the development of rigorously validated QSAR models obtained with the variable selection k nearest neighbor (kNN) method (or, in principle, with any other robust model-building technique). Model validation. is based on several statistical criteria, including the randomization of the target property (Y-randomization), independent assessment of the training set model's predictive power using external test sets, and the establishment of the model's applicability domain. All successful models are employed in database mining concurrently; in each case, only variables selected as a result of model building (termed descriptor pharmacophore) are used in chemical similarity searches comparing active compounds of the training set (queries) with those in chemical databases. Specific biological activity (characteristic of the training set compounds) of external database entries found to be within a predefined similarity threshold of the training set molecules is predicted on the basis of the validated QSAR models using the applicability domain criteria. Compounds judged to have high predicted activities by all or the majority of all models are considered as consensus hits. We report on the application of this computational strategy for the first time for the discovery of anticonvulsant agents in the Maybridge and National Cancer Institute (NCI) databases containing ca. 250 000 compounds combined. Forty-eight anticonvulsant agents of the functionalized amino acid (FAA) series were used to build kNN variable selection QSAR models. The 10 best models were applied to mining chemical databases, and 22 compounds were selected as consensus hits. Nine compounds were synthesized and tested at the NIH Epilepsy Branch, Rockville, MD using the same biological test that was employed to assess the anticonvulsant activity of the training set compounds; of these nine, four were exact database hits and five were derived from the hits by minor chemical modifications. Seven of these nine compounds were confirmed to be active, indicating an exceptionally high hit rate. The approach described in this report can be used as a general rational drug discovery tool.
Indole derivatives as 5-HT1-like agonists for use in migraine
申请人:Pfizer Inc.
公开号:US05607960A1
公开(公告)日:1997-03-04
The present invention relates to 3,5-disubstituted indole compounds which are selective agonists which act on 5-hdroxytryptamine receptors useful in the treatment of migraine.
An unexpected transformation of benzyl carbamates into α-azidobenzeneacetamides
作者:Christoph Strässler、Heinz Heimgartner
DOI:10.1002/hlca.19970800706
日期:1997.11.3
treatment of benzyl carbamates 5 (Z-protected secondary amines) with lithium diisopropylamide (LDA), diphenyl phosphorochloridate (DPPC1), and NaN3 yielded the corresponding ã-azidobenzeneacetamides 6 in 45–50% yield (Schemes 2 and 3). In the case of Z-protected diisopropylamine 5b, the phosphate 7 was isolated as a minor product. A reaction mechanism for this unexpected transformation is proposed in
Synthesis, physical–chemical characterisation and biological evaluation of novel 2-amido-3-hydroxypyridin-4(1H)-ones: Iron chelators with the potential for treating Alzheimer’s disease
作者:Alessandra Gaeta、Francisco Molina-Holgado、Xiao L. Kong、Sarah Salvage、Sarah Fakih、Paul T. Francis、Robert J. Williams、Robert C. Hider
DOI:10.1016/j.bmc.2010.12.007
日期:2011.2
A novel class of 2-amido-3-hydroxypyridin-4-one iron chelators is described. These compounds have been designed to behave as suitable molecular probes which will improve our knowledge of the role of iron in neurodegenerative conditions. Neurodegenerative disorders, such as Alzheimer's disease (AD) and Parkinson disease (PD), can be considered as diverse pathological conditions sharing critical metabolic processes such as protein aggregation and oxidative stress. Interestingly, both these metabolic alterations seem to be associated with the involvement of metal ions, including iron. Iron chelation is therefore a potential therapeutic approach. The physico-chemical (pK(a) pFe(3+) and log P) and biological properties (inhibition of iron-containing enzymes) of these chelators have been investigated in order to obtain a suitable profile for the treatment of neurodegenerative conditions. Studies with neuronal cell cultures confirm that the new iron chelators are neuroprotective against beta-amyloid-induced toxicity. (C) 2010 Elsevier Ltd. All rights reserved.
Structure–activity relationships of the peptide deformylase inhibitor BB-3497: modification of the P2′ and P3′ side chains
作者:Stephen J. Davies、Andrew P. Ayscough、R.Paul Beckett、John M. Clements、Sheila Doel、Lisa M. Pratt、Zoë M. Spavold、S.Wayne Thomas、Mark Whittaker
DOI:10.1016/s0960-894x(03)00533-x
日期:2003.8
Structural modifications to the peptide deformylase inhibitor BB-3497 are described. In this paper, we describe the initial SAR around this lead for modifications to both the P2' and P3' side chains. Enzyme inhibition and antibacterial activity data revealed that a variety of substituents are tolerated at the P2' and P3' positions of the inhibitor backbone. The data from this study highlights the potential for modification at the P2' and P3' positions to optimise the physicochemical properties. (C) 2003 Elsevier Ltd. All rights reserved.
INDOLE DERIVATIVES AS 5-HT1-LIKE AGONISTS FOR USE IN MIGRAINE