4.7 Article

Building Structural Models of a Whole Mycoplasma Cell

Journal

JOURNAL OF MOLECULAR BIOLOGY
Volume 434, Issue 2, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jmb.2021.167351

Keywords

whole cell modeling; computational modeling; nucleoid structure; scientific visualization; mycoplasma genitalium

Funding

  1. NIH [R01 GM120604, R35 GM119771]
  2. Allen Discovery Center award from the Paul G. Allen Family Foundation

Ask authors/readers for more resources

Building structural models of entire cells presents a challenge that requires integration of multiple sources of biological data and enhanced computational modeling methods. The study presents 3D structural models of an entire Mycoplasma genitalium cell, combining experimental and homology-modeled structures to provide a structural representation for all proteins, DNA, and RNA molecules. The models establish a framework for further research and exploration of mesoscale properties, highlighting the importance of data gathering methodologies.
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. (c) 2021 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available