Structural basis and prediction of substrate specificity in protein serine/threonine kinases

The large number of protein kinases makes it impractical to determine their specificities and substrates experimentally. Using the available crystal structures, molecular modeling, and sequence analyses of kinases and substrates, we developed a set of rules governing the binding of a heptapeptide substrate motif (surrounding the phosphorylation site) to the kinase and implemented these rules in a web-interfaced program for automated prediction of optimal substrate peptides, taking only the amino acid sequence of a protein kinase as input. We show the utility of the method by analyzing yeast cell cycle control and DNA damage checkpoint pathways. Our method is the only available predictive method generally applicable for identifying possible substrate proteins for protein serine/threonine kinases and helps in silico construction of signaling pathways. The accuracy of prediction is comparable to the accuracy of data from systematic large-scale experimental approaches.

Community broadcasting and the enclosure of the public sphere

One of the normative tenets of the Habermasian public sphere is that it should be an open and universally accessible forum. In Australia, one way of achieving this is the provision for community broadcasting in the Broadcasting Services Act. A closer examination of community broadcasting, however, suggests practices that contradict the idea of an open and accessible public sphere. Community broadcasting organizations regulate access to their media assets through a combination of formal and informal structures. This suggests that the public sphere can be understood as a resource, and that community broadcasting organizations can be analysed as ‘commons regimes’. This approach reveals a fundamental paradox inherent in the public sphere: access, participation and the quality of discourse in the public sphere are connected to its enclosure, which limits membership and participation through a system of rules and norms that govern the conduct of a group. By accepting the view that a public sphere is governed by property rights, it follows that an open and universally accessible public sphere is neither possible nor desirable.

Revising the theoretical structure of personality and applying it to the world of work

Most modern models of personality are hierarchical, perhaps as a result of their development by means of exploratory factor analysis. Based on new ideas about the structure of personality and how it divides into biologically based and sociocognitively based components (as proposed by Carver, Cloninger, EUiot and Thrash, and ReveUe), I develop a series of rules that show how scales of personality may be linked from those that are most distal to those which are most proximal. I use SEM to confirm the proposed structure in scales of the Temperament Character Inventory (TCI) and the Eysenck Personality Profiler. Good fit is achieved and all proposed paths are significant. The model is then used to predict work performance, deviance and job satisfacdon.

On the execution of collaborative business processes

Management of collaborative business processes that span multiple business entities has emerged as a key requirement for business success. These processes are embedded in sets of rules describing complex message-based interactions between parties such that if a logical expression defined on the set of received messages is satisfied, one or more outgoing messages are dispatched. The execution of these processes presents significant challenges since each contentrich message may contribute towards the evaluation of multiple expressions in different ways and the sequence of message arrival cannot be predicted. These challenges must be overcome in order to develop an efficient execution strategy for collaborative processes in an intensive operating environment with a large number of rules and very high throughput of messages. In this paper, we present a discussion on issues relevant to the evaluation of such expressions and describe a basic query-based method for this purpose, including suggested indexes for improved performance. We conclude by identifying several potential future research directions in this area. © 2010 IEEE. All rights reserved

The market for preferences

Learning processes are widely held to be the mechanism by which boundedly rational agents adapt to environmental changes. We argue that this same outcome might also be achieved by a different mechanism, namely specialisation and the division of knowledge, which we here extend to the consumer side of the economy. We distinguish between high-level preferences and low-level preferences as nested systems of rules used to solve particular choice problems. We argue that agents, while sovereign in high-level preferences, may often find it expedient to acquire, in a pseudo-market, the low-level preferences in order to make good choices when purchasing complex commodities about which they have little or no experience. A market for preferences arises when environmental complexity overwhelms learning possibilities and leads agents to make use of other people's specialised knowledge and decision rules.

Micro-meso-macro

Building on the ontology of evolutionary realism recently proposed by Dopfer and Potts (forthcoming), we develop an analytical framework for evolutionary economics with a micro-meso-macro architecture. The motive for reconception is to make clear the highly complex and emergent nature of existence and change in economic evolution. For us, the central insight is that an economic system is a population of rules, a structure of rules, and a process of rules. The economic system is a rule-system contained in what we call the meso. From the evolutionary perspective, one cannot directly sum micro into macro. Instead, we conceive of an economic system as a set of meso units, where each meso consists of a rule and its population of actualizations. The proper analytical structure of evolutionary economics is in terms of micro-meso-macro. Micro refers to the individual carriers of rules and the systems they organize, and macro consists of the population structure of systems of meso. Micro structure is between the elements of the meso, and macro structure is between meso elements. The upshot is an ontologically coherent framework for analysis of economic evolution as change in the meso domain - in the form of what we call a meso trajectory - and a way of understanding the micro-processes and macro-consequences involved. We believe that the micro-meso-macro analytical framework can greatly enhance the focus, clarity, and, ultimately, power, of evolutionary economic theory.

Whistleblower protection: Is Africa ready?

The article critically examines propositions driving the exportation of western whistleblower concepts into the developing world.(1) Specifically it attacks the prevailing view that public interest disclosure is somehow a culture-free, or at least a culture-muted phenomenon, governed by a set of rules and conventions detached from local histories and practices. The article concludes that this exportation is in the spirit of neo-colonialism and issues a note of warning about the dangers of dispersing western conceived forms of corruption reporting to Africa. Copyright (c) 2005 John Wiley & Sons, Ltd.

Trust and psychological strain experienced by employees during organisational change

Most modern models of personality are hierarchical, perhaps as a result of their development by means of exploratory factor analysis. Based on new ideas about the structure of personality and how it divides into biologically based and sociocognitively based components (as proposed by Carver, Cloninger, EUiot and Thrash, and ReveUe), I develop a series of rules that show how scales of personality may be linked from those that are most distal to those which are most proximal. I use SEM to confirm the proposed structure in scales of the Temperament Character Inventory (TCI) and the Eysenck Personality Profiler. Good fit is achieved and all proposed paths are significant. The model is then used to predict work performance, deviance and job satisfacdon.