Proteins interact with each other in a highly specific manner, and protein interactions play a key role in many cellular processes. Since protein interactions determine the outcome of most cellular processes, so identifying and characterizing Protein– Protein interactions and their networks are essential for understanding the mechanisms of biological processes on a molecular level. This paper e...

In our group we have often encountered the need to evaluate the efficacy of our reverse engineering algorithms. Our evaluation attempts can be divided into two categories: 1. evaluations using simulation studies of synthetically generated data and 2. evaluations using experimentally collected data. Here, we discuss our experiences with both these categories through a set of case studies. The ca...

Recent advances in high-throughput experimental techniques have given us a wealth of protein interaction data, rich in quantity and variety. While the quantity and variety of data present special challenges for modeling, they also present unique opportunities for gaining insight into the proteome by allowing us to leverage multiple perspectives. We present TOPROC (TOpology of PROtein Complexes)...

Interaction between proteins is a fundamental mechanism that underlies virtually all biological processes. Many important interactions are conserved across a large variety of species. The need to maintain interaction leads to a high degree of co-evolution between residues in the interface between partner proteins. The inference of proteinprotein interaction networks from the rapidly growing seq...

THE CENTRALITY OF PROTEIN complexes and transient proteinprotein interactions in cellular physiology is becoming increasingly clear. Although one can readily demonstrate proteinprotein interactions with nonphysiological approaches such as immunoprecipitation, it has been more challenging to show transient interactions in the cytoplasm, demonstrate the specific protein regions involved in the in...

Identification of protein interaction network is very important to find the cell signaling pathway for a particular disease. The authors have found the differentially expressed genes between two sample groups of HIV-1. Samples are wild type HIV-1 Vpr and HIV-1 mutant Vpr. They did statistical t-test and found false discovery rate (FDR) to identify the genes increased in expression (up-regulated...

A key property of complex biological systems is the presence of interaction networks formed by its different components, primarily proteins. These are crucial for all levels of cellular function, including architecture, metabolism and signaling, as well as the availability of cellular energy. Very stable, but also rather transient and dynamic proteinprotein interactions generate new system prop...

Presentations by NUS Discovering Statistically and Biologically Significant Clusters of 3D Protein-Protein Interfaces Zeyar Aung [email protected] supervisor: Kian Lee TAN The study of the structural properties of proteinprotein interfaces, which are responsible for interactions of proteins, can give us a better overview of protein functions, as compared to studying individual protein st...

Relation extraction is frequently and successfully addressed by machine learning methods. The downside of this approach is the need for annotated training data, typically generated in tedious manual, cost intensive work. Distantly supervised approaches make use of weakly annotated data, like automatically annotated corpora. Recent work in the biomedical domain has applied distant supervision fo...

Whey proteins are mainly a group of small globular proteins. Their structures can be modified by physical, chemical and other means to improve their functionality. The objectives of this study were to investigate the effect of radiation on proteinprotein interaction, microstructure, and microbiological properties of whey protein-water solutions. Whey protein isolate (WPI) solutions (27-36% prot...