Genetic interactions help map biological processes and their functional relationships. A genetic interaction is defined as a deviation from the expected phenotype when combining multiple genetic mutations. In Saccharomyces cerevisiae, most genetic interactions are measured under a single phenotype - growth rate in standard laboratory conditions. Recently genetic interactions have been collected...

MOTIVATION Predicting protein interactions involving peptide recognition domains is essential for understanding the many important biological processes they mediate. It is important to consider the binding strength of these interactions to help us construct more biologically relevant protein interaction networks that consider cellular context and competition between potential binders. RESULTS...

The Database of Interacting Proteins (DIP; http://dip.doe-mbi.ucla.edu) is a database that documents experimentally determined protein-protein interactions. This database is intended to provide the scientific community with a comprehensive and integrated tool for browsing and efficiently extracting information about protein interactions and interaction networks in biological processes. Beyond c...

The semantic behavior of derivational processes has been investigated with compositional distributional models relating the meaning of base, affix, and derivative (e.g., anti+capitalist→ anticapitalist). While broadly successful, these approaches model how the distributional behavior generally is affected by derivation. Meanwhile, their predictions can not be interpreted at the level of linguis...

Clinicians learn step by step how to apply the therapy techniques and to select the appropriate therapy materials (described in detail in practical appendices). The book also provides practical advice about dealing with group processes and individual dyadic situations. Differential indications, assessment, therapy planning and evaluation are presented. Therapists will also learn how to use IPT ...

Clinicians learn step by step how to apply the therapy techniques and to select the appropriate therapy materials (described in detail in practical appendices). The book also provides practical advice about dealing with group processes and individual dyadic situations. Differential indications, assessment, therapy planning and evaluation are presented. Therapists will also learn how to use IPT ...

Abstract The vectorial Deffuant model is a simple stochastic process for the dynamics of opinions that also includes a confidence threshold. To understand the role of space in this type of social interactions, we study the process on the one-dimensional lattice where individuals are characterized by their opinion – in favor or against – about F different issues and where pairs of nearest neighb...

ing Business Modeling Patterns from RosettaNet Pankaj R. Telang and Munindar P. Singh North Carolina State University, Raleigh, NC 27695-8206, USA [email protected], [email protected] Abstract. RosettaNet is a leading industry effort that creates standards for business interactions. The RosettaNet standard defines over 100 Partner Interface Processes (PIPs). The PIPs specify the business interacti...

Dynamic chemical reactions at the surface of liposomes are of fundamental interest to the understanding of physiological processes at biological membranes and can be exploited to prepare responsive soft materials. In this paper we describe a covalent yet reversible reaction between liposomes. To this end we explored the reversible thioester exchange reaction of membrane embedded amphiphilic thi...

The goal of interaction proteomics that studies the protein-protein interactions of all expressed proteins is to understand biological processes that are strictly regulated by these interactions. The availability of entire genome sequences of many organisms and high-throughput analysis tools has led scientists to study the entire proteome (Pandey and Mann, 2000). There are various high-throughp...