Tutorial on integrative spatiotemporal modeling by integrative modeling platform

Cells function through dynamic interactions between macromolecules. Detailed characterization of the dynamics of large biomolecular systems is often not feasible by individual biophysical methods. In such cases, it may be possible to compute useful models by integrating multiple sources of information. We have previously developed an integrative method to model dynamic processes by computing biomolecular heterogeneity at fixed time points, then generating static integrative structural modes for each of these heterogeneity models, and finally connecting these static models to produce a scored trajectory model that depicts the process. Here, we demonstrate how to compute, score, and assess these integrative spatiotemporal models using our open-source Integrative Modeling Platform (IMP) program (https://integrativemodeling.org/).

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Publication Details

Journal
Protein Science
Published
2025-03-25
DOI
https://doi.org/10.1002/pro.70107
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.00

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article

Tutorial on integrative spatiotemporal modeling by integrative modeling platform

Benjamin Webb, Andrej Săli, Andrew P. Latham, Miha Rožič
Protein Science
Microbial Metabolic Engineering and Bioproduction
article

Tutorial on integrative spatiotemporal modeling by integrative modeling platform

Benjamin Webb, Andrej Săli, Andrew P. Latham, Miha Rožič
article en

Abstract

Cells function through dynamic interactions between macromolecules. Detailed characterization of the dynamics of large biomolecular systems is often not feasible by individual biophysical methods. In such cases, it may be possible to compute useful models by integrating multiple sources of information. We have previously developed an integrative method to model dynamic processes by computing biomolecular heterogeneity at fixed time points, then generating static integrative structural modes for each of these heterogeneity models, and finally connecting these static models to produce a scored trajectory model that depicts the process. Here, we demonstrate how to compute, score, and assess these integrative spatiotemporal models using our open-source Integrative Modeling Platform (IMP) program (https://integrativemodeling.org/).

Protein ScienceVol. 34(4)
University of California, San Francisco (US), Quantitative BioSciences (US)
National Institutes of Health
Openalex Percentile: Top 95%
Microbial Metabolic Engineering and Bioproduction
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Tutorial on integrative spatiotemporal modeling by integrative modeling platform — Benjamin Webb, Andrej Săli, et al. · Protein Science (2025) | TGRS Research Map | TGRS