摘要:
An extension of the vector space model for computing chemical similarity using textual and chemical descriptors is described. The method uses a chemical and/or textual description of a molecule/chemical and a decomposes a molecule/chemical descriptor matrix by a suitable technique such as singular value decomposition to create a low dimensional representation of the original descriptor space. Similarities between a user probe and the textual and/or chemical descriptors are then computed and ranked.
摘要:
Disclosed are compounds of Formula I, wherein the R, R1, R2, R3, X, Y, A, Q, E, and G are defined herein. These compounds bind to aspartic proteases to inhibit their activity and are useful in the treatment or amelioration of diseases associated with aspartic protease activity. Also disclosed are methods of use of the compounds of Formula I for ameliorating or treating aspartic protease related disorders in a subject in need thereof.