Biomedical subjects
Publications and source records attributed to Xiaodong Lin.
Synthesis of C(12) des-methyl ketolide is developed featuring an intramolecular epoxide formation/elimination process to establish the C(12) stereocenter. These ketolides are potent against several key respiratory pathogens, including erythromycin resistant erm- and mef-containing strains of Streptococcus pneumoniae.
A series of 2-pyrimidyl-5-amidothiophenes has been synthesized and evaluated for AKT inhibition. SAR studies resulted in potent inhibitors of AKT with IC(50) values as low as single digit nanomolar as represented by compound 2aa. Compound 2aa showed cellular activity including antiproliferation and downstream target modulation. Selectivity profile is described. A co-crystal of 2aa with PKA is determined and discussed.
A novel series of C12 vinyl erythromycin derivatives have been discovered which exhibit in vitro and in vivo potency against key respiratory pathogens. The C12 modification involves replacing the natural C12 methyl group in the erythromycin core with a vinyl group via chemical synthesis. From the C12 vinyl macrolide core, a series of C12 vinyl ketolides was prepared. Several compounds were found to be potent against macrolide-sensitive and -resistant bacteria. The C12 vinyl ketolides 6j and 6k showed a similar antimicrobial spectrum and comparable activity to the commercial ketolide telithromycin. However, the pharmacokinetic profiles of C12 vinyl ketolides 6j and 6k in rats differ from that of telithromycin by having higher lung-to-plasma ratios, larger volumes of distribution, and longer half-lives. These pharmacokinetic differences have a pharmacodynamic effect as both 6j and 6k exhibited better in vivo efficacy than telithromycin in rat lung infection models against Streptococcus pneumoniae and Haemophilus influenzae.
We present a method for performing statistically valid linear regressions on the union of distributed chemical databases that preserves confidentiality of those databases. The method employs secure multi-party computation to share local sufficient statistics necessary to compute least squares estimators of regression coefficients, error variances and other quantities of interest. We illustrate our method with an example containing four companies' rather different databases.
MOTIVATION: With the development of DNA microarray technology, scientists can now measure the expression levels of thousands of genes simultaneously in one single experiment. One current difficulty in interpreting microarray data comes from their innate nature of 'high-dimensional low sample size'. Therefore, robust and accurate gene selection methods are required to identify differentially expressed group of genes across different samples, e.g. between cancerous and normal cells. Successful gene selection will help to classify different cancer types, lead to a better understanding of genetic signatures in cancers and improve treatment strategies. Although gene selection and cancer classification are two closely related problems, most existing approaches handle them separately by selecting genes prior to classification. We provide a unified procedure for simultaneous gene selection and cancer classification, achieving high accuracy in both aspects. RESULTS: In this paper we develop a novel type of regularization in support vector machines (SVMs) to identify important genes for cancer classification. A special nonconvex penalty, called the smoothly clipped absolute deviation penalty, is imposed on the hinge loss function in the SVM. By systematically thresholding small estimates to zeros, the new procedure eliminates redundant genes automatically and yields a compact and accurate classifier. A successive quadratic algorithm is proposed to convert the non-differentiable and non-convex optimization problem into easily solved linear equation systems. The method is applied to two real datasets and has produced very promising results. AVAILABILITY: MATLAB codes are available upon request from the authors.
Studies of two interrelated strategies for the synthesis of members of the cephalotaxus alkaloid family have culminated in a concise route for the preparation of the parent member cephalotaxine (1). As part of efforts exploring the use of an SET-promoted photocyclization reaction of aryl-substituted silylallyliminium salts to generate the spirocyclic DE unit of the target, we noted that attempts to generate the pentacyclic amino ketone 23 by deacylation of the enol ester 20 led to production of a mixture of 23 and the macrocyclic amino enone 24. A rapid equilibrium was shown to exist between 23 and 24, favoring the latter ring-opened form. This contrasts with the behavior of desmethylcephalotaxinone (22), a key late intermediate in several earlier cephalotaxine syntheses, which is known to exist in a ring-closed form. These observations led to the design of a second generation strategy which relies on transannular cyclization of the macrocyclic amino enedione 28. In practice, the sequence following this design transforms the known iodopiperonylethanol derivative 4 to 22 in 13 steps and a 12% overall yield and, thus, corresponds to an efficient formal synthesis of cepahalotaxine.