1. Home
  2. Projects Index
  3. FungiNet B - Bioinformatics projects
  4. Publications Index

Publications

Filter and export
Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions
FungiNet B - Bioinformatics projects, INF, B3 (E)

Abstract (Expand)

Recent and rapidly evolving progress on high-throughput measurement techniques and computational performance has led to the emergence of new disciplines, such as systems medicine and translational … systems biology. At the core of these disciplines lies the desire to produce multiscale models: mathematical models that integrate multiple scales of biological organization, ranging from molecular, cellular and tissue models to organ, whole-organism and population scale models. Using such models, hypotheses can systematically be tested. In this review, we present state-of-the-art multiscale modelling of bacterial and fungal infections, considering both the pathogen and host as well as their interaction. Multiscale modelling of the interactions of bacteria, especially Mycobacterium tuberculosis, with the human host is quite advanced. In contrast, models for fungal infections are still in their infancy, in particular regarding infections with the most important human pathogenic fungi, Candida albicans and Aspergillus fumigatus. We reflect on the current availability of computational approaches for multiscale modelling of host-pathogen interactions and point out current challenges. Finally, we provide an outlook for future requirements of multiscale modelling.

Authors: J. Schleicher, Theresia Conrad, M. Gustafsson, G. Cedersund, Reinhard Guthke, Jörg Linde

Date Published: 10th Feb 2016

Journal: Brief Funct Genomics

Footprints of optimal protein assembly strategies in the operonic structure of prokaryotes
FungiNet B - Bioinformatics projects

Abstract (Expand)

In this work, we investigate optimality principles behind synthesis strategies for protein complexes using a dynamic optimization approach. We show that the cellular capacity of protein synthesis has … a strong influence on optimal synthesis strategies reaching from a simultaneous to a sequential synthesis of the subunits of a protein complex. Sequential synthesis is preferred if protein synthesis is strongly limited, whereas a simultaneous synthesis is optimal in situations with a high protein synthesis capacity. We confirm the predictions of our optimization approach through the analysis of the operonic organization of protein complexes in several hundred prokaryotes. Thereby, we are able to show that cellular protein synthesis capacity is a driving force in the dissolution of operons comprising the subunits of a protein complex. Thus, we also provide a tested hypothesis explaining why the subunits of many prokaryotic protein complexes are distributed across several operons despite the presumably less precise co-regulation.

Authors: J. Ewald, M. Kotzing, M. Bartl, Christoph Kaleta

Date Published: 1st May 2015

Journal: Metabolites

FungiDB: an integrated functional genomics database for fungi
FungiNet B - Bioinformatics projects

Abstract (Expand)

FungiDB (http://FungiDB.org) is a functional genomic resource for pan-fungal genomes that was developed in partnership with the Eukaryotic Pathogen Bioinformatic resource center (http://EuPathDB.org). … FungiDB uses the same infrastructure and user interface as EuPathDB, which allows for sophisticated and integrated searches to be performed using an intuitive graphical system. The current release of FungiDB contains genome sequence and annotation from 18 species spanning several fungal classes, including the Ascomycota classes, Eurotiomycetes, Sordariomycetes, Saccharomycetes and the Basidiomycota orders, Pucciniomycetes and Tremellomycetes, and the basal 'Zygomycete' lineage Mucormycotina. Additionally, FungiDB contains cell cycle microarray data, hyphal growth RNA-sequence data and yeast two hybrid interaction data. The underlying genomic sequence and annotation combined with functional data, additional data from the FungiDB standard analysis pipeline and the ability to leverage orthology provides a powerful resource for in silico experimentation.

Authors: Jason E Stajich, Todd Harris, Brian P Brunk, John Brestelli, Steve Fischer, Omar S Harb, Jessica C Kissinger, Wei Li, Vishal Nayak, Deborah F Pinney, Chris J Stoeckert, David S Roos

Date Published: 7th Nov 2011

Journal: Nucleic Acids Res.

Powered by
 (v.1.9.1)
About INF | FungiNet | Funding and Programmes | Credits | Imprint
Copyright © 2008 - 2019 The University of Manchester and HITS gGmbH