Yipin Lu
University of Michigan
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Yipin Lu.
Proceedings of the National Academy of Sciences of the United States of America | 2008
Sanjeev Shangary; Dongguang Qin; Donna McEachern; Meilan Liu; Rebecca Miller; Su Qiu; Zaneta Nikolovska-Coleska; Ke Ding; Guoping Wang; Jianyong Chen; Denzil Bernard; Jian Zhang; Yipin Lu; Qingyang Gu; Rajal B. Shah; Kenneth J. Pienta; Xiaolan Ling; Sanmao Kang; Ming Guo; Yi Sun; Dajun Yang; Shaomeng Wang
We have designed MI-219 as a potent, highly selective and orally active small-molecule inhibitor of the MDM2–p53 interaction. MI-219 binds to human MDM2 with a Ki value of 5 nM and is 10,000-fold selective for MDM2 over MDMX. It disrupts the MDM2–p53 interaction and activates the p53 pathway in cells with wild-type p53, which leads to induction of cell cycle arrest in all cells and selective apoptosis in tumor cells. MI-219 stimulates rapid but transient p53 activation in established tumor xenograft tissues, resulting in inhibition of cell proliferation, induction of apoptosis, and complete tumor growth inhibition. MI-219 activates p53 in normal tissues with minimal p53 accumulation and is not toxic to animals. MI-219 warrants clinical investigation as a new agent for cancer treatment.
Journal of Chemical Information and Computer Sciences | 2004
Renxiao Wang; Yipin Lu; Xueliang Fang; Shaomeng Wang
Fourteen popular scoring functions, i.e., X-Score, DrugScore, five scoring functions in the Sybyl software (D-Score, PMF-Score, G-Score, ChemScore, and F-Score), four scoring functions in the Cerius2 software (LigScore, PLP, PMF, and LUDI), two scoring functions in the GOLD program (GoldScore and ChemScore), and HINT, were tested on the refined set of the PDBbind database, a set of 800 diverse protein-ligand complexes with high-resolution crystal structures and experimentally determined Ki or Kd values. The focus of our study was to assess the ability of these scoring functions to predict binding affinities based on the experimentally determined high-resolution crystal structures of proteins in complex with their ligands. The quantitative correlation between the binding scores produced by each scoring function and the known binding constants of the 800 complexes was computed. X-Score, DrugScore, Sybyl::ChemScore, and Cerius2::PLP provided better correlations than the other scoring functions with standard deviations of 1.8-2.0 log units. These four scoring functions were also found to be robust enough to carry out computation directly on unaltered crystal structures. To examine how well scoring functions predict the binding affinities for ligands bound to the same target protein, the performance of these 14 scoring functions were evaluated on three subsets of protein-ligand complexes from the test set: HIV-1 protease complexes (82 entries), trypsin complexes (45 entries), and carbonic anhydrase II complexes (40 entries). Although the results for the HIV-1 protease subset are less than desirable, several scoring functions are able to satisfactorily predict the binding affinities for the trypsin and the carbonic anhydrase II subsets with standard deviation as low as 1.0 log unit (corresponding to 1.3-1.4 kcal/mol at room temperature). Our results demonstrate the strengths as well as the weaknesses of current scoring functions for binding affinity prediction.
Journal of Medicinal Chemistry | 2006
Yipin Lu; Zaneta Nikolovska-Coleska; Xueliang Fang; Wei Gao; Sanjeev Shangary; Su Qiu; Dongguang Qin; Shaomeng Wang
An integrated, virtual database screening strategy has led to 7-[anilino(phenyl)methyl]-2-methyl-8-quinolinol (4, NSC 66811) as a novel inhibitor of the murine double minute 2 (MDM2)-p53 interaction. This quinolinol binds to MDM2 with a Ki of 120 nM and activates p53 in cancer cells with a mechanism of action consistent with targeting the MDM2-p53 interaction. It mimics three p53 residues critical in the binding to MDM2 and represents a promising new class of non-peptide inhibitors of the MDM2-p53 interaction.
Journal of Chemical Information and Modeling | 2007
Yipin Lu; Renxiao Wang; Chao Yie Yang; Shaomeng Wang
We have performed a comprehensive analysis of water molecules at the protein-ligand interfaces observed in 392 high-resolution crystal structures. There are a total of 1829 ligand-bound water molecules in these 392 complexes; 18% are surface water molecules, and 72% are interfacial water molecules. The number of ligand-bound water molecules in each complex structure ranges from 0 to 21 and has an average of 4.6. Of these interfacial water molecules, 76% are considered to be bridging water molecules, characterized by having polar interactions with both ligand and protein atoms. Among a number of factors that may influence the number of ligand-bound water molecules, the polar van der Waals (vdw) surface area of ligands has the highest Pearson linear correlation coefficient of 0.63. Our regression analysis predicted that one more ligand-bound water molecule is expected for every additional 24 A2 in the polar vdw surface area of the ligand. In contrast to the observation that the resolution is the primary factor influencing the number of water molecules in crystallographic models of proteins, we found that there is only a weak relationship between the number of ligand-bound water molecules and the resolution of the crystal structures. An analysis of the isotropic B factors of buried ligand-bound water molecules suggested that, when water molecules have fewer than two polar interactions with the protein-ligand complex, they are more mobile than protein atoms in the crystal structures; when they have more than three polar interactions, they are significantly less mobile than protein atoms.
Molecular Cancer Therapeutics | 2008
Sanjeev Shangary; Ke Ding; Su Qiu; Zaneta Nikolovska-Coleska; Joshua A. Bauer; Meilan Liu; Guoping Wang; Yipin Lu; Donna McEachern; Denzil Bernard; Carol R. Bradford; Thomas E. Carey; Shaomeng Wang
MDM2 oncoprotein binds directly to the p53 tumor suppressor and inhibits its function in cancers retaining wild-type p53. Blocking this interaction using small molecules is a promising approach to reactivate p53 function and is being pursued as a new anticancer strategy. The spiro-oxindole MI-43, a small-molecule inhibitor of the MDM2-p53 interaction, was designed and examined for its cellular mechanism of action and therapeutic potential in colon cancer. MI-43 binds to MDM2 protein with a Ki value of 18 nmol/L and is 300 times more potent than a native p53 peptide. MI-43 blocks the intracellular MDM2-p53 interaction and induces p53 accumulation in both normal and cancer cells, with wild-type p53 without causing p53 phosphorylation. Induction of p53 leads to modulation of the expression of p53 target genes, including up-regulation of p21 and MDM2 in normal primary human cells and in colon cancer cells with wild-type p53. Using HCT-116 isogenic colon cancer cell lines differing only in p53 status or RNA interference to knockdown expression of p53 in the RKO colon cancer cell line, we show that the cell growth inhibition and cell death induction by MI-43 is p53 dependent. Furthermore, induction of cell cycle arrest by MI-43 is dependent on p53 and p21. In normal cells, MI-43 induces cell cycle arrest but not apoptosis. This study suggests that p53 activation by a potent and specific spiro-oxindole MDM2 antagonist may represent a promising therapeutic strategy for the treatment of colon cancer and should be further evaluated in vivo and in the clinic. [Mol Cancer Ther 2008;7(6):1533–42]
Journal of Medicinal Chemistry | 2003
Renxiao Wang; Yipin Lu; Shaomeng Wang
Journal of Medicinal Chemistry | 2006
Ke Ding; Yipin Lu; Zaneta Nikolovska-Coleska; Guoping Wang; Su Qiu; Sanjeev Shangary; Wei Gao; Dongguang Qin; Jeanne A. Stuckey; Krzysztof Krajewski; Peter P. Roller; Shaomeng Wang
Journal of the American Chemical Society | 2005
Ke Ding; Yipin Lu; Zaneta Nikolovska-Coleska; Su Qiu; Yousong Ding; Wei Gao; Jeanne A. Stuckey; Krzysztof Krajewski; Peter P. Roller; York Tomita; Damon A. Parrish; Jeffrey R. Deschamps; Shaomeng Wang
Journal of Medicinal Chemistry | 2004
Renxiao Wang; Xueliang Fang; Yipin Lu; Shaomeng Wang
Journal of Medicinal Chemistry | 2005
Renxiao Wang; Xueliang Fang; Yipin Lu; Chao Yie Yang; Shaomeng Wang