Watson, CA, United States

Keck Graduate Institute is a private graduate school in Claremont, California. Founded in 1997, it is the newest and 7th member of the Claremont Consortium. It offers 5 graduate degree programs in a range disciplines focusing in the life science industry. KGI programs are organized into two professional schools, the School of Applied Life Science and School of Pharmacy . KGI also offers a four-year undergraduate program, the Minerva Schools at KGI, in partnership with the Minerva Project. Wikipedia.

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Niemz A.,Keck Graduate Institute of Applied Life Sciences | Ferguson T.M.,Claremont Biosolutions, Llc | Boyle D.S.,Program for Appropriate Technology in Health
Trends in Biotechnology | Year: 2011

Nucleic acid testing for infectious diseases at the point of care is beginning to enter clinical practice in developed and developing countries; especially for applications requiring fast turnaround times, and in settings where a centralized laboratory approach faces limitations. Current systems for clinical diagnostic applications are mainly PCR-based, can only be used in hospitals, and are still relatively complex and expensive. Integrating sample preparation with nucleic acid amplification and detection in a cost-effective, robust, and user-friendly format remains challenging. This review describes recent technical advances that might be able to address these limitations, with a focus on isothermal nucleic acid amplification methods. It briefly discusses selected applications related to the diagnosis and management of tuberculosis, HIV, and perinatal and nosocomial infections. © 2011.

Hintze A.,Keck Graduate Institute of Applied Life Sciences | Adami C.,Keck Graduate Institute of Applied Life Sciences
Biology Direct | Year: 2010

Background: Much work in systems biology, but also in the analysis of social network and communication and transport infrastructure, involves an in-depth analysis of local and global properties of those networks, and how these properties relate to the function of the network within the integrated system. Most often, systematic controls for such networks are difficult to obtain, because the features of the network under study are thought to be germane to that function. In most such cases, a surrogate network that carries any or all of the features under consideration, while created artificially and in the absence of any selective pressure relating to the function of the network being studied, would be of considerable interest.Results: Here, we present an algorithmic model for growing networks with a broad range of biologically and technologically relevant degree distributions using only a small set of parameters. Specifying network connectivity via an assortativity matrix allows us to grow networks with arbitrary degree distributions and arbitrary modularity. We show that the degree distribution is controlled mainly by the ratio of node to edge addition probabilities, and the probability for node duplication. We compare topological and functional modularity measures, study their dependence on the number and strength of modules, and introduce the concept of anti-modularity: a property of networks in which nodes from one functional group preferentially do not attach to other nodes of that group. We also investigate global properties of networks as a function of the network's growth parameters, such as smallest path length, correlation coefficient, small-world-ness, and the nature of the percolation phase transition. We search the space of networks for those that are most like some well-known biological examples, and analyze the biological significance of the parameters that gave rise to them.Conclusions: Growing networks with specified characters (degree distribution and modularity) provides the opportunity to create surrogates for biological and technological networks, and to test hypotheses about the processes that gave rise to them. We find that many celebrated network properties may be a consequence of the way in which these networks grew, rather than a necessary consequence of how they work or function.Reviewers: This article was reviewed by Erik van Nimwegen, Teresa Przytycka (nominated by Claus Wilke), and Leonid Mirny. For the full reviews, please go to the Reviewer's Comments section. © 2010 Hintze and Adami; licensee BioMed Central Ltd.

Phillips M.I.,Keck Graduate Institute of Applied Life Sciences
Expert Opinion on Orphan Drugs | Year: 2013

For many years the highly profitable pharmaceutical companies had no interest in the rare disease community or its need for orphan product development. The collective rare disease market by definition was small. It did not offer the profits of drugs like antihypertensives with a market of more than 25 million patients. However, nothing stays the same. The blockbuster model that traditionally drove the pharmaceutical industry seems to have lost its relevance. "Big Pharma" has reached out for a new model and found that orphan drugs may be the answer. © Informa UK, Ltd.

Niemz A.,Keck Graduate Institute of Applied Life Sciences | Boyle D.S.,Program for Appropriate Technology in Health
Expert Review of Molecular Diagnostics | Year: 2012

Early diagnosis of tuberculosis (TB) facilitates appropriate treatment initiation and can limit the spread of this highly contagious disease. However, commonly used TB diagnostic methods are slow, often insensitive, cumbersome and inaccessible to most patients in TB endemic countries that lack necessary resources. This review discusses nucleic acid amplification technologies, which are being developed for rapid near patient TB diagnosis, that are in the market or undergoing clinical evaluation. They are based on PCR or isothermal methods and are implemented as manual assays or partially/fully integrated instrument systems, with associated tradeoffs between clinical performance, cost, robustness, quality assurance and usability in remote settings by minimally trained personnel. Unmet needs prevail for the identification of drug-resistant TB and for TB diagnosis in HIV-positive and pediatric patients. © 2012 Expert Reviews Ltd.

Casper S.,Keck Graduate Institute of Applied Life Sciences
Research Policy | Year: 2013

The concept of regional technology spill-overs created by university research is one of the most enduring theories within the economic geography and innovation management fields. This article introduces an alternative perspective on academic commercialization, arguing that the quality of a university's regional environment can significantly impact a university's success in commercializing science. Recent research on university technology transfer stresses the importance of personal contacts between academic and industry scientists in driving commercialization. The social structure of the regional economy in which a university is embedded will strongly influence the density of contacts linking university scientists with individuals in industry, and through doing so, impact the density of networks through which university knowledge can be commercialized. Social network analysis is used to examine the quality of social ties linking industry and university scientists within the San Francisco and Los Angeles California biotechnology industries over the 1980-2005 period. Results support the theory that the existence of strong social networks linking inventors heightens university commercialization output. Despite similar university research endowments, universities in San Francisco have dramatically commercialization outputs than San Francisco, which is correlated with the existence of cohesive inventor networks linking industry and university scientists in this region, but not Los Angeles. Moreover, longitudinal analysis shows that the commercialization output of San Francisco universities increased substantially starting in the early 1990s, the time period in which cohesive inventor networks emerged in the region. © 2013 Elsevier B.V. All rights reserved.

Keck Graduate Institute of Applied Life Sciences | Date: 2013-04-10

A disposable and inexpensive biological diagnostic cartridge for the amplification and detection of nucleic acids includes a configuration having a reaction pouch for amplification which is compressed by a flexible pump pouch for detection of the amplified reaction.

Keck Graduate Institute of Applied Life Sciences | Date: 2014-03-07

In accordance with the invention, isolated nucleic acids, expression methods, host cells, expression vectors, and DNA constructs for producing proteins, and proteins produced using the expression methods are described. More particularly, nucleic acids isolated from Pichia pastoris wherein the nucleic acids have promoter activity are described. The invention also relates to expression methods, host cells, expression vectors, and DNA constructs, for using the Pichia pastoris promoters to produce proteins, and to the proteins produced using the expression methods.

Keck Graduate Institute of Applied Life Sciences | Date: 2013-04-09

A valve has a generally hollow core with one open end and one closed end, and at least one side port in a sidewall of the core. The valve also includes a sleeve that fits over the core and covers the side port(s). The cracking pressure of the valve is tunable by varying the parameters of the sleeve.

Keck Graduate Institute of Applied Life Sciences | Date: 2015-10-23

Compositions and methods including Amodiaquine (AQ) or N-Desethy Amodiaquine (DEAQ) are provided for treating, inhibiting, or preventing cathepsin B dependent pathogens and toxins in a host cell or infected subject. Compositions and methods also include AQ or DEAQ in combination with an antibiotic for more effective clearance of the pathogen and/or toxins.

Keck Graduate Institute of Applied Life Sciences | Date: 2014-01-13

Methods of inhibiting or preventing the proliferation of a fungus and/or a bacteria in a living organism, in water, in air, and/or on surfaces, include administering or providing a therapeutic amount or an effective amount of an antimicrobial composition including Octodrine.

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