Abstract
Cellular functions are managed by a complex network of protein interactions, the malfunction of which may derive in disease phenotypes. In spite of the incompleteness and noise present in our current protein interaction maps, computational biologists are making strenuous efforts to extract knowledge from these intricate networks and, through their integration with other types of biological data, expedite the development of novel and more effective treatments against human disorders. The 3rd Challenges in Computational Biology meeting revolved around the Protein Interaction Networks and Disease subject, bringing expert network biologists to the city of Mainz, Germany to debate the current status and limitations of protein interaction data and computational resources. This editorial outlines the meeting's background and programme, putting special emphasis on the extended abstracts of contributed talks collected in the present issue of Genomics and Computational Biology.
Highlights
The Challenges in Computational Biology meeting (CCB) started in 2015 with the aim to bring together computational biologists based in Mainz and its surrounding area, discuss their projects and foster collaborations
Continuing the idea of having a topical programme and inspired by a compendium covering the identification, annotation and pathogenicity of protein-protein interactions (PPIs) [1], CCB 2017 revolved around the Protein Interaction Networks and Disease subject
In an enriching one-day session comprised of one company, ten invited and six contributed talks, CCB attendees discussed the current status of PPI data, of established and new tools to analyse it and the prevailing challenges in the field
Summary
The Challenges in Computational Biology meeting (CCB) started in 2015 with the aim to bring together computational biologists based in Mainz and its surrounding area, discuss their projects and foster collaborations. In an enriching one-day session comprised of one company, ten invited and six contributed talks, CCB attendees discussed the current status of PPI data, of established and new tools to analyse it and the prevailing challenges in the field. Perturbations of one or a few members of this intricate system propagate across the protein interaction network (PIN), disturbing its dynamics and deriving in abnormal phenotypes [3].
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