Novel compounds of formulae (I) to (VIII), which more particularly include sulfonylurea derivatives, sulfonylthiourea derivatives, sulfonylguanidine derivatives, sulfonylcyanoguanidine derivatives, thioacylsulfonamide derivatives, and acylsulfonamide derivatives which are effective platelet ADP receptor inhibitors. These derivatives may be used in various pharmaceutical compositions, and are particularly effective for the prevention and/or treatment of cardiovascular diseases, particularly those diseases related to thrombosis. The invention also relates to a method for preventing or treating thrombosis in a mammal comprising the step of administering a therapeutically effective amount of a compound of formulae (I) to (VIII), or a pharmaceutically acceptable salt thereof.
The present invention discloses compounds of formulae (I) and (II) or pharmaceutically acceptable salts, esters, or prodrugs thereof:
which exhibit antibacterial properties. The present invention further relates to pharmaceutical compositions comprising the aforementioned compounds for administration to a subject in need of antibiotic treatment. The invention also relates to methods of treating a bacterial infection in a subject by administering a pharmaceutical composition comprising the compounds of the present invention. The invention further includes process by which to make the compounds of the present invention.
The present invention relates to certain novel pyridin compounds of Formula (I) to processes for preparing such compounds, to their utility as P2Y12 inhibitors and as anti-thrombotic agents etc, and processes for their preparation, their use as medicaments in cardiovascular diseases as well as pharmaceutical compositions containing them.
Visualizing high dimensional descriptors of molecular structures
申请人:——
公开号:US20040241709A1
公开(公告)日:2004-12-02
The distribution of chemical compounds in high-dimensional molecular descriptor space can be viewed in two dimensions by applying the projection method of this invention. This method has particular usefulness for viewing the relationships of a large number of compounds such as found in a large scale HTS or virtual combinatorial library. After selecting a representative subset of the larger data set of compounds, initially components from the high-dimensional descriptor space are determined by PCA. In order to relax an NLM projection using the PCA components as a start, the stress function is modified to reflect a local horizon beyound which the separation of the compounds is not meaningfully measureable. The resulting two dimensional projections provide a clear insight into the distribution of the chemical compounds in the higher dimensional space. The method is clearly generalizable to viewing descriptor space in three dimensions and to using high dimensional descriptors other than those used to describe molecular structure.