In vitro activities of three semisynthetic amide derivatives of teicoplanin, MDL 62208, MDL 62211, and MDL 62873

In vitro activities of three semisynthetic amide derivatives of teicoplanin, MDL 62208, MDL 62211, and MDL 62873.

MDL 62208, MDL 62211, and MDL 62873 are three semisynthetic amide derivatives of teicoplanin (MDL 62208 is an amide of teicoplanin aglycone, MDL 62211 is an amide of the teicoplanin A2 complex, and MDL 62873 is the corresponding derivative of peak A2-2 of the complex). The three semisynthetic glycopeptides were evaluated for in vitro antibacterial activity in comparison with the parent drug (te...

Activities of two new teicoplanin amide derivatives (MDL 62211 and MDL 62873) compared with activities of teicoplanin and vancomycin against 800 recent staphylococcal isolates from France and the United States.

MDL 62211 is the amide derivative of the teicoplanin complex and MDL 62873 is a more focused amide derivative of the teicoplanin A2-2 peak. Each investigational compound had nearly identical activity and was 2- to 16-fold more active than teicoplanin or vancomycin. The MDL 62873 MICs for 90% of the strains tested were as follows: Staphylococcus aureus, oxacillin susceptible, 0.12 micrograms/ml;...

MDL Denoising

The so-called denoising problem, relative to normal models for noise, is formalized such that`noise' is deened as the incompressible part in the data while the compressible part deenes the meaningful information bearing signal. Such a decomposition is eeected by minimization of the ideal code length, called for by the Minimum Description Length (MDL) principle, and obtained by an application of...

MDL Regularizer: A New Regularizer based on the MDL Principle

This paper proposes a new regularization method based on the MDL (Minimum Description Length) principle. An adequate precision weight vector is trained by approximately truncating the maximum likelihood weight vector. The main advantage of the proposed regularizer over existing ones is that it automatically determines a regularization factor without assuming any specific prior distribution with...

PAC-MDL Bounds