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University at Buffalo symposium on in silico methods, high throughput screening

BUFFALO, N.Y. — Twenty-first-century pharmaceutical breakthroughs require 21st-century drug discovery tools, such as computational or in silico molecular design and high-throughput screening of effective, new compounds. That’s the theme of a University at Buffalo symposium to be held Sept. 11 on “Twenty-first Century Bioscience: In Silico Methods and High-Throughput Screening,” which will feature a variety of cutting-edge advances in the field developed by researchers in Western New York and throughout the US.

The symposium will be held at the Hauptman-Woodward Medical Research Institute, 700 Ellicott St., Buffalo from 8:30 a.m. to 5 p.m.

Speakers will discuss techniques they are developing to treat cancer and other disorders, including such hereditary eye diseases as retinitis pigmentosa.

Symposium topics will range from using flow cytometry and combinatorial chemistry to screen new compounds, to overcoming the hurdles in RNA drug discovery and developing molecular regulators of gene expression.

Research into computational or in silico methods of designing potential new drug compounds and high throughput screening of them is especially strong in Western New York, according to Steven J. Fliesler, PhD (pronounced Fleece-ler), the Meyer H. Riwchun Endowed Chair Professor of Ophthalmology, and vice chair and director of research in the Department of Ophthalmology, Ross Eye Institute, in the UB School of Medicine and Biomedical Sciences. Fliesler is a health systems specialist at the Veterans Affairs Western New York Healthcare System; he organized the symposium and is one of the moderators.

“Western New York is fortunate to have a diversity of scientists working in these areas on specific applications to human disease,” Fliesler says. “So whether it’s in cancer, ophthalmology, cardiovascular disease or diabetes, these genetic approaches are going on in parallel, utilizing some of the same approaches but with diverse applications. The goal of this combination of methods is to give investigators more powerful tools with which to alter how the genome is expressed in cells and silence disease-causing genes.”

For example, Fliesler and his UB colleagues are conducting research on novel gene therapy applications to treat retinitis pigmentosa, a group of genetic eye conditions that can lead to incurable blindness and which Fliesler says underscores the importance of genomic research.

In retinitis pigmentosa, he says, there are well over a hundred known mutations in the gene that codes for the visual pigment rhodopsin alone, and there are dominant and recessive forms of the disease.

“If it was possible to just disable the disease-causing allele (one member of a pair of genes) early in development, then you’d get a normal individual,” Fliesler says.

Plenary lectures will be given by Larry A. Sklar, PhD, of the University of New Mexico, John S. Lazo, PhD, of the University of Pittsburgh, Bryan Roth, MD, PhD, of the University of North Carolina at Chapel Hill and Menghang Xia, PhD, of the National Institutes of Health.

Topics of other talks will include:

* Advances in genomic techniques that have allowed scientists to dissect how the cell responds to changes in the environment by modulating access to information encoded in the genome. The talk, by Michael J. Buck, PhD, UB assistant professor of biochemistry, will focus on a master regulator essential for cellular stress response and how it controls access to the genomic information.
* challenges in developing RNA drugs and ways that UB scientists and others are working to overcome them. Development of RNA drugs as novel gene-based therapies for retinitis pigmentosa and other retinal degenerations is a primary focus of the research program of Jack M. Sullivan, MD, PhD, UB associate professor of ophthalmology, who will discuss an experimental platform his group has developed to rapidly screen large sets of candidate RNA drugs to identify the most powerful treatments for retinitis pigmentosa and common age-related macular degeneration.
* A high-throughput functional genetic approach to anti-cancer drug targets developed by Andrei V. Gudkov, PhD, chair, Department of Cell Stress Biology at Roswell Park Cancer Institute.
* Computational methods developed by Rajendram V. Rajnarayanan, PhD, UB assistant professor of pharmacology and toxicology, who is using them to design small molecules that can alter RNA expression.

In addition to Fliesler, other moderators and speakers include Alexander N. Cartwright, PhD, interim vice president for research at UB, Norma J. Nowak, PhD, director of scientific planning at UB’s New York State Center of Excellence in Bioinformatics and Life Sciences, Eaton E. Lattman, PhD, chief executive officer of HWI and research professor in the UB Department of Structural Biology, and Jennifer A. Surtees, PhD, assistant professor of biochemistry at UB.

The symposium is sponsored by the UB 2020 Strategic Strength in Molecular Recognition in Biological Systems and Bioinformatics, a cross-disciplinary effort to foster new scientific ideas throughout different departments and schools at UB and its partner institutions. Co-sponsors are HWI, the UB departments of biochemistry and chemistry and the Ira G. Ross Eye Institute.

For more information and to register, contact Jennifer Hunt at jluck@buffalo.edu in the UB Department of Biochemistry.

The University at Buffalo is a premier research-intensive public university, a flagship institution in the State University of New York system and its largest and most comprehensive campus. UB’s more than 28,000 students pursue their academic interests through more than 300 undergraduate, graduate and professional degree programs. Founded in 1846, the University at Buffalo is a member of the Association of American Universities.
Source: molecularstation.com

Team discovers new type of anti-malarial compound

LA JOLLA, CA – August 30, 2010 –– An international team led by scientists from The Scripps Research Institute, the Swiss Tropical Institute, the Genomics Institute of the Novartis Research Foundation and the Novartis Institute for Tropical Diseases has discovered a promising new drug candidate that represents a new class of drug to treat malaria. Clinical trials for the compound are planned for later this year.

The research was published on September 3, 2010, in the prestigious journal Science.

“We’re very excited by the new compound,” said Elizabeth Winzeler, a Scripps Research associate professor and member of the Genomics Institute of the Novartis Research Foundation (GNF) who led the research with Thierry Diagana of the Novartis Institute of Tropical Diseases. “It has a lot of encouraging features as a drug candidate, including an attractive safety profile and potential treatment in a single oral dose.”

The Problem with Malaria

Malaria is a nasty and often fatal disease, which may lead to kidney failure, seizures, permanent neurological damage, coma, and death. The disease is caused by Plasmodium parasites, transmitted through the bite of infected mosquitoes.

Despite a century of effort to globally control malaria, the disease remains endemic in many parts of the world. According to the World Health Organization, in 2008 there were 247 million cases of malaria and nearly one million deaths – mostly among children living in Africa. The need for new treatments is made more urgent by the spread of drug-resistance to current medications.

While some 40 percent of the world’s population lives in malaria-infected areas, little economic incentive for pharmaceutical companies to develop new treatments exists, since malaria-infected areas correspond with the some of the world’s most impoverished nations.

To help surmount this barrier, concerned individuals have formed public-private partnerships to help spur research on much-needed treatments. The current study is the result of one such partnership. In addition to in-kind contributions by the pharmaceutical company Novartis (including its decade-old Novartis Malaria Initiatives) and the scientific expertise of scientists in academic laboratories around the world, the research was made possible by the support of the nonprofit organizations Medicines for Malaria Venture, the Wellcome Trust, and the W. M. Keck Foundation, as well as funding from government agencies in the United States (the National Institutes of Health (NIH) National Institute of Allergy and Infectious Diseases (NIAID) and Singapore (Agency for Science, Technology, and Research (A*STAR)).

In Pursuit of a New Drug

The impetus for the new study began in the Scripps Research Winzeler laboratory about seven years ago when Winzeler received funding from the Keck Foundation to develop new antimalarial drugs by pursuing target-based drug discovery methods (designing a drug based on known molecular interactions). The approach was not yielding many interesting compounds, so Winzeler and her collaborators at GNF decided to take a different tack.

Noting that serendipity and observation played a role in all previous breakthrough antimalarials (for example, the drug artemisinin was derived from an herb used in traditional Chinese medicine), the team decided to pursue cell-based screening. The Winzeler lab at GNF then developed a high-throughput screen to look for compounds active against the malaria parasite Plasmodium falciparum. Scientists at Novartis, which had compiled a library of 12,000 purified natural products, then offered their library for the screen.

The first screen returned a set of 275 compounds with anti-malarial activity. Subsequent screens weeded out those with little activity against multi-drug resistant parasites and those toxic for mammalian cells. Seventeen compounds remained in the running.

An evaluation of the remaining compounds’ toxicity and pharmacokinetic profiles provided additional information to evaluate their potential drug candidates. One compound—belonging to a chemical class of molecules called spiroindolones, which had never before been associated with anti-malarial activity—stood out as particularly promising.

Novartis Institute for Tropical Medicine’s project team head Bryan Yeung noted, “Of the remaining compound classes, the spirotetrahydro-beta-carbolines or spiroindolones displayed the desired physicochemical properties for drug development, as well as a mechanism of action distinct from the currently used therapies based on aminoquinolines and artemisinin derivatives.”

In an effort based at the Novartis Institute of Tropical Diseases in Singapore, the chemistry team synthesized and evaluated some 200 derivatives of this molecule to optimize its safety profile and pharmacokinetic properties. At the end of several hundred rounds of medicinal chemistry and efficacy testing at the Swiss Tropical and Public Health Institute, the team advanced NITD609 as the best candidate for proceeding to clinical trials.

Shining Light in the Black Box

The new study, however, doesn’t stop there. To gain insight into how NITD609 worked, Winzeler applied a distinctive and elegant evolutionary approach.

Winzeler noted, “One of the disadvantages of doing cellular screening has been chemists will say, ‘You don’t know what the target is. You don’t know if the parasites are going to become resistant to it. It’s a huge black box.’ It has been extremely difficult to find the genes involved in malarial drug resistance using traditional methods. So what we’ve been doing in my lab is developing ways to find single-base changes in drug-exposed genomes.”

In this case, Case McNamara at GNF, a lead author, took a parasite and cloned it to create two identical organisms. One was allowed to reproduce in regular culture. The other was placed in a culture with a sub-lethal dose of the anti-malarial drug candidate. After three to four months and many generations, the parasites in the culture with NITD609 started to display low-level drug resistance.

At that point, the team used an advanced tiling array to compare the 26 million base pairs of coding sequence in the genome of the drug-exposed organisms to the genome of the control organisms.

“We were expecting hundreds or thousands of mutations because we grew the parasites for many generations,” Winzeler said. “We got only a handful.”

When McNamara analyzed the genomes of the six resistant clones, it turned out that all of the mutant strains had at least one mutation mapping to a single gene, pfatp4. This suggests that the protein PfATP4 is either the target for the new drug candidate or is involved in the parasite’s resistance to it in some other way.

“PfATP4 is a cation transporting ATPase, so it is a very well validated drug target,” said Winzeler. “That class of proteins, for example, is the target of antacids. It hasn’t really been explored in malaria. This is one of the first cases where an evolution study has been used to identify the action of a compound in a parasite cell.”

Source: sciencecodex.com

Practical Approach to Quantitative High Throughput Screening

Book: Chapter 18 Handbook of Drug Screening, Second Edition
Ramakrishna Seethala and Litao Zhang
Cover Image

Published
June 2009
ISBN
9781420061697
Edition
Second
Pages
504
Size
6 x 9 in
Format
Hardcover
142 illustrations

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Chapter Opening

High throughput screening (HTS) has progressively evolved since the late 1980s as an important approach for new lead discovery and a chemistry starting point (1). The size of compound collections used in HTS campaigns has also increased significantly from under 100,000 to a few million in major pharmaceutical companies. In the 1990s, pooling approaches, in which 10 to 20 compounds were contained in one well, were widely used for compound screening due to the limited screening throughput (2). Frequent interference from compounds in pooled samples and time-consuming hit deconvolution from the primary screen impaired the ability of lead identification using early pooling strategies. In the late 1990s and early 2000s, single-compound screening became the main platform with the advances in HTS technology and increases in screening throughput. However, primary screening of compound collections is routinely performed at a single concentration, typically as a single replicate, due to the high cost and time requirement for screening such large compound collections (usually in millions of compounds). Screening at a single concentration provides only a limited window of opportunity to identify the useful lead compounds.
Source: informahealthcare.com

Virtual Screening

1. Description

1.

Virtual screening (VS) can be a useful alternative to HTS, especially if the assay will only permit a relatively small number of compounds to be tested. Different methods can be used depending on the information available. For any virtual screening, the selection of the database is as important as the methods used.
2.

The number of compounds tested is also critical to the ability to identify hits. A typical HTS needs on the order of 5000 compounds to identify a single hit. Expecting virtual screening to reliably identify a hit in ~50 compounds is optimistic. This can usually only be successful when a great deal is known about the binding site, or a ligand series is already identified. A more reasonable expectation would be to test a few hundred compounds to identify (and confirm) a few good hits.
3.

Follow-up of VS hits typically follows a similar procedure to HTS follow-up as a great deal of additional information can be obtained by testing related compounds.
4.

In the absence of a target protein crystal structure, VS can be done based on the ligand conformation, either through a pharmacophore search (if a series of ligands is known) or by a shape-based method if a single (or few) ligand is known. This method compared database ligands to the 3D shape of the surface of the query molecule. Those compounds that most closely match the query shape (and chemical nature) are the highest ranked. In cases where the ligand conformation is extracted from a crystal structure, this approach can be as good as docking to the protein directly.
5.

When a crystal structure of the target protein is available, VS is commonly done by high-throughput docking and scoring. The goal of this docking is not necessarily a highly accurate biding mode, but instead is a list of compounds that is likely to bind to the target. The docking algorithms used may therefore be different from those used for detailed docking and scoring. This approach is typically slower than ligand based VS methods.

2. Requirements

1.

•Ligand VS: single known ligand, ideally with known or predicted binding conformation
2.

•Pharmacophore: several ligands known to bind to the same target binding site
3.

•Structure VS: crystal structure, ideally with ligand or natural substrate bound

3. Limitations

1.

•Significant number of compounds must still be tested to obtain a hit
2.

•Choice of database often determines the quality of hits

4. Deliverables

1.

•Ranked list of compounds (available for purchase) for testing
2.

•Prediction of binding mode (if structure or pharmacophore is developed)
Source: biochem.wustl.edu

An automated screening method for drugs and toxic compounds in human serum and urine using liquid chromatography–tandem mass spectrometry

Stefan Sturma, Felix Hammannb, Juergen Dreweb, Hans H. Maurerc and André Scholera, Corresponding Author Contact Information, E-mail The Corresponding Author

a University Hospital of Basel, Laboratory Medicine, Clinical Chemistry Laboratory, Petersgraben 4, CH-4031 Basel, Switzerland

b University Hospital of Basel, Clinical Pharmacology and Toxicology, Basel, Switzerland

c Saarland University, Department of Experimental and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Homburg/Saar, Germany
Received 30 January 2010;
accepted 14 August 2010.
Available online 21 August 2010.

Abstract

A fully automated screening using liquid chromatography–mass spectrometric method applying data-dependent acquisition was developed to identify toxicologically relevant substances in serum and urine. A library including more than 405 spectra of about 365 compounds (main drugs and important metabolites) was established. An easy to use program was created to automate and accelerate library search. Drugs were identified based on their relative retention times, molecular ions and fragment ions. Limits of detection were tested with 100 of the 365 compounds the majority of these were lower than 100 ?g/l (67%). The developed LC–MS–MS system seems to be a valuable alternative to other general unknown screening methods allowing fast and specific identification of drugs in serum and urine samples.

Keywords: General unknown screening; Data-dependent acquisition; Toxic compounds

Abbreviations: GUS, general unknown screening; APCI, atmospheric pressure chemical ionization; MS–MS, tandem mass spectrometry; nd, not detected; LOD, limit of detection; DAD, diode array detection; CID, collision induced dissociation; DDA, data-dependent acquisition; SPE, solid-phase extraction; IS, internal standard; PE%, process efficiency in percent; RRT, relative retention time; RT, retention time
Article Outline

1.
Introduction

2.
Experimental
2.1. Materials
2.2. Apparatus
2.3. Methods

2.3.1. Standard solutions

2.3.2. Extraction procedure

2.3.3. Evaluation of matrix effects and process efficiency

2.3.4. Liquid chromatography

2.3.5. Mass spectrometry

2.3.6. Evaluation of the limit of detection (LOD)

2.3.7. Mass spectral library

2.3.8. Mass spectral library search program (XcLibraryScreening)

3.
Results and discussion

4.
Conclusions

Appendix A.
Supplementary data

References