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Building Structural Models of a Whole Mycoplasma Cell
- Source :
- J Mol Biol
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- Building structural models of entire cells has been a long-standing cross-discipline challenge for the research community, as it requires an unprecedented level of integration between multiple sources of biological data and enhanced methods for computational modeling and visualization. Here, we present the first 3D structural models of an entire Mycoplasma genitalium (MG) cell, built using the CellPACK suite of computational modeling tools. Our model recapitulates the data described in recent whole-cell system biology simulations and provides a structural representation for all MG proteins, DNA and RNA molecules, obtained by combining experimental and homology-modeled structures and lattice-based models of the genome. We establish a framework for gathering, curating and evaluating these structures, exposing current weaknesses of modeling methods and the boundaries of MG structural knowledge, and visualization methods to explore functional characteristics of the genome and proteome. We compare two approaches for data gathering, a manually-curated workflow and an automated workflow that uses homologous structures, both of which are appropriate for the analysis of mesoscale properties such as crowding and volume occupancy. Analysis of model quality provides estimates of the regularization that will be required when these models are used as starting points for atomic molecular dynamics simulations.
- Subjects :
- Biological data
Data collection
Bacteria
Proteome
Computer science
Systems biology
Scientific visualization
Computational Biology
Mycoplasma genitalium
Molecular Dynamics Simulation
computer.software_genre
Genome
Article
Visualization
Models, Structural
Mycoplasma
Workflow
Structural Biology
Data mining
Transcriptome
Molecular Biology
computer
Genome, Bacterial
Subjects
Details
- ISSN :
- 00222836
- Volume :
- 434
- Database :
- OpenAIRE
- Journal :
- Journal of Molecular Biology
- Accession number :
- edsair.doi.dedup.....82661909b9d6e35ce2682d10572f3523
- Full Text :
- https://doi.org/10.1016/j.jmb.2021.167351