Bio Saga Blog - A Chronicle of Life Sciences & Informatics

This something really interesting to PPI, Systems biology  and molecular networks people, I just recently came across, Cellular processes and pathways, whose deregulation may contribute to the development of cancers, are often represented as cascades of proteins transmitting a signal from the cell surface to the nucleus. However, recent functional genomic experiments have identified thousands of interactions for the signalling canonical proteins, challenging the traditional view of pathways as independent functional entities. Combining information from pathway databases and interaction networks obtained from functional genomic experiments is therefore a promising strategy to obtain more robust pathway and process representations, facilitating the study of cancer-related pathways.  Results: We present a methodology for extending pre-defined protein sets representing cellular pathways and processes by mapping them onto a protein-protein interaction network, and extending them t...

Through a complex analysis of protein interactions, researchers from IRB Barcelona and the Joint Programme IRB-BSC have discovered new molecular mechanisms that may be involved in the development of Alzheimer’s disease. The study, a collaboration between bioinformaticians and cell biologists, was led by IRB Barcelona group leader and ICREA researcher Patrick Aloy and appears today in the Genome Research, a reference journal in the field of genomics. Alzheimer’s disease is an age-related neurodegenerative disease. Despite the considerable efforts made in recent years to understand the mechanisms that trigger this disease, an effective treatment is not yet available. This study reveals new molecular and functional data that could help researchers gain a better understanding of the disease and potentially to develop new therapies.  From the computer to the lab  Proteins are the molecular instruments that cells use to carry out their functions. Proteins don’t normally act alone,...

Aileron Therapeutics and Roche announced today that they have entered into a collaboration to discover, develop and commercialise a new class of drugs called Stapled Peptide Therapeutics. As part of this agreement, Roche will work with Aileron to develop drug candidates against up to five undisclosed targets selected from Roche’s key therapeutic areas, which include oncology, virology, inflammation, metabolism and CNS. Stapled Peptide Therapeutics are a result of Aileron’s breakthrough peptide stabilization technology, and are a potential solution to drug as-yet intractable disease targets, including those originating from long sought-after intracellular protein-protein interactions. Under the terms of the agreement, Roche will provide Aileron guaranteed funding of at least $25 million in technology access fees and R&D support. Aileron is eligible to receive up to $1.1 billion in payments upon the achievement of discovery, development, regulatory and commercialisation milesto...

Pred_PPI is a web-based system that serves for predicting PPIs from different organisms. This server is freely available to any researcher wishing to use it for non-commercial purposes. Based on auto covariance (AC) and support vector machine (SVM), this tool is capable of predicting PPIs for any target protein pair only using their primary sequences, and assigning an interaction probability to each SVM prediction as well. So the user can use this tool to predict novel PPIs with high confidence. Protein-protein interactions (PPIs) are essential for almost all cellular processes, such as metabolic cycles, DNA transcription and replication, different signaling cascades and so on. However the biochemical methods are all time-consuming and expensive, so current PPI pairs elucidated by experiments are absolutely insufficient compared to the complete PPI networks . Consequently it is increasing important to develop computational tools for effectively identifying PPIs. Check out this one t...