Biomedical subjects

S Frank Yan

Publications and source records attributed to S Frank Yan.

8 recordsLinked to original sources

PubMed2006

An efficient rapid system for profiling the cellular activities of molecular libraries.

Rapid quantitative methods for characterizing small molecules, peptides, proteins, or RNAs in a broad array of cellular assays would allow one to discover new biological activities associated with these molecules and also provide a more comprehensive profile of drug candidates early in the drug development process. Here we describe a robotic system, termed the automated compound profiler, capable of both propagating a large number of cell lines in parallel and assaying large collections of molecules simultaneously against a matrix of cellular assays in a highly reproducible manner. To illustrate its utility, we have characterized a set of 1,400 kinase inhibitors in a panel of 35 activated tyrosine-kinase-dependent cellular assays in dose-response format in a single experiment. Analysis of the resulting multidimensional dataset revealed subclusters of both inhibitors and kinases with closely correlated activities. The approach also identified activities for the p38 inhibitor BIRB796 and the dual src/abl inhibitor BMS-354825 and exposed the expected side activities for Glivec/STI571, including cellular inhibition of c-kit and platelet-derived growth factor receptor. This methodology provides a powerful tool for unraveling the cellular biology and molecular pharmacology of both naturally occurring and synthetic chemical diversity.

Animals↗

PubMed2005

Accommodation of a 1S-(-)-benzo[c]phenanthrenyl-N6-dA adduct in the Y-family Dpo4 DNA polymerase active site: structural insights through molecular dynamics simulations.

Molecular modeling and molecular dynamics simulations have been performed to elucidate feasible structures in the Y-family Dpo4 DNA polymerase for the 1S-(-)-trans-anti-B[c]Ph-N6-dA adduct, derived from the fjord region polycyclic aromatic hydrocarbon (PAH) benzo[c]phenanthrene. Three types of models were delineated as follows: an intercalation model, a model with the aromatic ring system in the polymerase major groove open pocket, and a -1 deletion major groove model. All four 2'-deoxyribonucleoside 5'-triphosphates (dNTPs) were considered in the first two cases, and a normal Watson-Crick partner positioned to have skipped the modified template was employed as the incoming dNTP in the -1 deletion case. The trajectories derived from the dynamics simulations were analyzed in detail to evaluate the extents of distortion for each system. Overall, our results suggest that the major groove model is the least distorted, followed by the -1 deletion model, while the intercalation model is perturbed the most. The syn-dGTP and syn-dATP mismatches opposite the lesion are well-accommodated in the major groove model, as is the normal Watson-Crick partner dTTP. The intercalation model appears most likely to impede the polymerase. More broadly, these models look reasonable for other PAH metabolite-derived adducts to adenine with similar 1S stereochemistry. Furthermore, these models suggest how error-prone translesion synthesis by Y-family polymerases might produce mutations that may play a role in the initiation of cancer.

Carcinogens↗

PubMed2004

In silico gene function prediction using ontology-based pattern identification.

MOTIVATION: With the emergence of genome-wide expression profiling data sets, the guilt by association (GBA) principle has been a cornerstone for deriving gene functional interpretations in silico. Given the limited success of traditional methods for producing clusters of genes with great amounts of functional similarity, new data-mining algorithms are required to fully exploit the potential of high-throughput genomic approaches. RESULTS: Ontology-based pattern identification (OPI) is a novel data-mining algorithm that systematically identifies expression patterns that best represent existing knowledge of gene function. Instead of relying on a universal threshold of expression similarity to define functionally related groups of genes, OPI finds the optimal analysis settings that yield gene expression patterns and gene lists that best predict gene function using the principle of GBA. We applied OPI to a publicly available gene expression data set on the life cycle of the malarial parasite Plasmodium falciparum and systematically annotated genes for 320 functional categories based on current Gene Ontology annotations. An ontology-based hierarchical tree of the 320 categories provided a systems-wide biological view of this important malarial parasite.

Algorithms↗

PubMed2004

Conformational searches elucidate effects of stereochemistry on structures of deoxyadenosine covalently bound to tumorigenic metabolites of benzo[C] phenanthrene.

Remarkably different conformations can result when DNA binds with stereoisomeric compounds containing differing absolute configurations of substituents about chiral carbon atoms. Furthermore, the biochemical functions of covalent adducts with DNA are strongly affected by the stereochemistry of the ligands. Such stereochemical effects are manifested by DNA covalent adducts derived from metabolites of the non-planar fjord region environmental chemical carcinogen benzo[c]phenanthrene. To analyze these phenomena, an extensive conformational investigation for R and S stereoisomeric adducts to deoxyadenosine, derived from trans addition of enantiomeric anti diol epoxide metabolites of benzo[c]phenanthrene, has been carried out. We have surveyed the potential energy surface of the two adducts by varying systematically at 5 degree intervals in combination, the three important torsion angles that govern conformational flexibility of the carcinogen bulk with respect to the linked nucleoside. We carried out a grid search by creating 373, 248 structures for each isomer, and evaluated their molecular mechanical energies. This has permitted us to map the potential energy surface of each adduct in these three variables, and to delineate their low energy regions. The maps have a symmetric relationship which stems from the near mirror-image stereochemistry in the R and S isomers. This produces near mirror-image low energy structures in the nucleoside adducts. The limited sets of stereoisomer-dependent conformational domains delineated are determined by steric effects. Moreover, these features have been experimentally demonstrated to play governing structural roles in such carcinogen-damaged DNA duplexes: opposite orientations in the stereoisomer pairs computed for the nucleosides are observed by high-resolution NMR in the similarly modified DNA double helices, and are likely to play important roles in their interactions with enzymes involved in DNA transactions, and hence their biological activities.

Carcinogens↗

PubMed2004

Altering DNA polymerase incorporation fidelity by distorting the dNTP binding pocket with a bulky carcinogen-damaged template.

Fidelity of DNA polymerases is predominantly governed by an induced fit mechanism in which the incoming dNTP in the ternary complex fits tightly into a binding pocket whose geometry is determined by the nature of the templating base. However, modification of the template with a bulky carcinogen may alter the dNTP binding pocket and thereby the polymerase incorporation fidelity. High fidelity DNA polymerases, such as bacteriophage T7 DNA polymerase, are predominantly blocked by bulky chemical lesions on the template strand during DNA replication. However, some mutagenic bypass can occur, which may lead to carcinogenesis. Experimental studies have shown that a DNA covalent adduct derived from (+)-anti-BPDE [(+)-(7R,8S,9S,10R)-7,8-dihydroxy-9,10-epoxy-7,8,9,10-tetrahydrobenzo[a]pyrene], a carcinogenic metabolite of benzo[a]pyrene (BP), primarily blocks Sequenase 2.0, an exo(-) T7 DNA polymerase; however, a mismatched dATP can be preferentially inserted opposite the damaged adenine templating base within the active site of the polymerase [Chary, P., and Lloyd, R. S. (1995) Nucleic Acids Res. 23, 1398-1405]. The goal of this work is to elucidate structural features that contribute to DNA polymerase incorporation fidelity in the presence of this bulky covalent adduct and to interpret the experimental findings on a molecular level. We have carried out molecular modeling and molecular dynamics simulations with AMBER 6.0, investigating a T7 DNA polymerase primer-template closed ternary complex containing this 10S (+)-trans-anti-[BP]-N(6)-dA adduct in the templating position within the polymerase active site. All four incoming dNTPs were studied. The simulations show that the BP ring system fits well into an open pocket on the major groove side of the modified template adenine with anti glycosidic bond conformation, without disturbing critical polymerase-DNA interactions. However, steric hindrance between the BP ring system and the primer-template DNA causes displacement of the modified template adenine, so that the dNTP base binding pocket is enlarged. This alteration can explain the experimentally observed preference for incorporation of dATP opposite this lesion. These studies also rationalize the observed lower probabilities of incorporation of the other three nucleotides. Our results suggest that the differences in incorporation of dGTP, dCTP, and dTTP are due to the effects of imperfect geometric complementarity. Thus, the simulations suggest that altered DNA polymerase incorporation fidelity can result from adduct-induced changes in the dNTP base binding pocket geometry. Furthermore, plausible structural explanations for the observed effects of [BP]-N(6)-dA adduct stereochemistry on the observed stalling patterns are proposed.

Binding Sites↗

PubMed2004

Global analysis of transcript and protein levels across the Plasmodium falciparum life cycle.

To investigate the role of post-transcriptional controls in the regulation of protein expression for the malaria parasite, Plasmodium falciparum, we have compared mRNA transcript and protein abundance levels for seven different stages of the parasite life cycle. A moderately high positive relationship between mRNA and protein abundance was observed for these stages; the most common discrepancy was a delay between mRNA and protein accumulation. Potentially post-transcriptionally regulated genes are identified, and families of functionally related genes were observed to share similar patterns of mRNA and protein accumulation.

Animals↗

PubMedDate not supplied

Novel statistical approach for primary high-throughput screening hit selection.

The standard activity threshold-based method (the "top X" approach), currently widely used in the high-throughput screening (HTS) data analysis, is ineffective at identifying good-quality hits. We have proposed a novel knowledge-based statistical approach, driven by the hidden structure-activity relationship (SAR) within a screening library, for primary hit selection. Application to an in-house ultrahigh-throughput screening (uHTS) campaign has demonstrated it can directly identify active scaffolds containing valuable SAR information with a greatly improved confirmation rate compared to the standard "top X" method (from 55% to 85%). This approach may help produce high-quality leads and expedite the hit-to-lead process in drug discovery.

Algorithms↗

PubMedDate not supplied

Learning from the data: mining of large high-throughput screening databases.

High-throughput screening (HTS) campaigns in pharmaceutical companies have accumulated a large amount of data for several million compounds over a couple of hundred assays. Despite the general awareness that rich information is hidden inside the vast amount of data, little has been reported for a systematic data mining method that can reliably extract relevant knowledge of interest for chemists and biologists. We developed a data mining approach based on an algorithm called ontology-based pattern identification (OPI) and applied it to our in-house HTS database. We identified nearly 1500 scaffold families with statistically significant structure-HTS activity profile relationships. Among them, dozens of scaffolds were characterized as leading to artifactual results stemming from the screening technology employed, such as assay format and/or readout. Four types of compound scaffolds can be characterized based on this data mining effort: tumor cytotoxic, general toxic, potential reporter gene assay artifact, and target family specific. The OPI-based data mining approach can reliably identify compounds that are not only structurally similar but also share statistically significant biological activity profiles. Statistical tests such as Kruskal-Wallis test and analysis of variance (ANOVA) can then be applied to the discovered scaffolds for effective assignment of relevant biological information. The scaffolds identified by our HTS data mining efforts are an invaluable resource for designing SAR-robust diversity libraries, generating in silico biological annotations of compounds on a scaffold basis, and providing novel target family specific scaffolds for focused compound library design.

Algorithms↗