Δημοσιεύσεις

Project Acronym: BioMemPro-MD
Title: Computational Studies of Membrane Protein Structure and Dynamics
Affiliation: national and kapodistrian university of athens
Pi: Stavros Hamodrakas
Research Field: biochemistry, bioinformatics and life sciences

The gram-negative outer membrane modeler: Automated building of lipopolysaccharide-rich bacterial outer membranes in four force fields
by Baltoumas, Fotis A., Hamodrakas, Stavros J. and Iconomidou, Vassiliki A.
Abstract:
Outer membranes are a crucial component of Gram-negative bacteria, containing standard lipids in their inner leaflet, lipopolysaccharides (LPSs) in their outer leaflet, and transmembrane β-barrels known as outer membrane proteins (OMPs). OMPs regulate functions such as substrate transport and cell movement, while LPSs act as a protective barrier for bacteria and can cause toxic reactions in humans. However, the experimental study of outer membranes is challenging. Molecular dynamics simulations are often used for the computational study of membrane systems, but the preparation of complex, LPS-rich outer membranes is not straightforward. The Gram-Negative Outer Membrane Modeler (GNOMM) is an automated pipeline for preparing simulation systems of OMPs embedded in LPS-containing membranes in four different force fields. Given the physiological and clinical importance of outer membranes and their components, GNOMM can be a useful tool in the study of their structure, function, and implications in diseases. GNOMM is available at http://bioinformatics.biol.uoa.gr/GNOMM. © 2019 Wiley Periodicals, Inc.
Reference:
The gram-negative outer membrane modeler: Automated building of lipopolysaccharide-rich bacterial outer membranes in four force fields (Baltoumas, Fotis A., Hamodrakas, Stavros J. and Iconomidou, Vassiliki A.), In Journal of Computational Chemistry, volume 40, 2019.
Bibtex Entry:
@article{doi:10.1002-jcc.25823,
 author = {Baltoumas, Fotis A. and Hamodrakas, Stavros J. and Iconomidou, Vassiliki A.},
 title = {The gram-negative outer membrane modeler: Automated building of lipopolysaccharide-rich bacterial outer membranes in four force fields},
 journal = {Journal of Computational Chemistry},
 volume = {40},
 number = {18},
 pages = {1727-1734},
 doi = {10.1002/jcc.25823},
 url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/jcc.25823},
 eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.25823},
 abstract = {Outer membranes are a crucial component of Gram-negative bacteria, containing standard lipids in their inner leaflet, lipopolysaccharides (LPSs) in their outer leaflet, and transmembrane β-barrels known as outer membrane proteins (OMPs). OMPs regulate functions such as substrate transport and cell movement, while LPSs act as a protective barrier for bacteria and can cause toxic reactions in humans. However, the experimental study of outer membranes is challenging. Molecular dynamics simulations are often used for the computational study of membrane systems, but the preparation of complex, LPS-rich outer membranes is not straightforward. The Gram-Negative Outer Membrane Modeler (GNOMM) is an automated pipeline for preparing simulation systems of OMPs embedded in LPS-containing membranes in four different force fields. Given the physiological and clinical importance of outer membranes and their components, GNOMM can be a useful tool in the study of their structure, function, and implications in diseases. GNOMM is available at http://bioinformatics.biol.uoa.gr/GNOMM. © 2019 Wiley Periodicals, Inc.},
 year = {2019},
 bibyear = {2019},
}