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Biomolecular Modeling and Simulation: A Prospering Multidisciplinary Field

Authors
  • Schlick, Tamar
  • Portillo-Ledesma, Stephanie
  • Myers, Christopher G.
  • Beljak, Lauren
  • Chen, Justin
  • Dakhel, Sami
  • Darling, Daniel
  • Ghosh, Sayak
  • Hall, Joseph
  • Jan, Mikaeel
  • Liang, Emily
  • Saju, Sera
  • Vohr, Mackenzie
  • Wu, Chris
  • Xu, Yifan
  • Xue, Eva
Type
Published Article
Journal
Annual Review of Biophysics
Publisher
Annual Reviews
Publication Date
May 06, 2021
Volume
50
Pages
267–301
Identifiers
DOI: 10.1146/annurev-biophys-091720-102019
Source
Annual Reviews
Keywords
License
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Abstract

We reassess progress in the field of biomolecular modeling and simulation, following up on our perspective published in 2011. By reviewing metrics for the field's productivity and providing examples of success, we underscore the productive phase of the field, whose short-term expectations were overestimated and long-term effects underestimated. Such successes include prediction of structures and mechanisms; generation of new insights into biomolecular activity; and thriving collaborations between modeling and experimentation, including experiments driven by modeling. We also discuss the impact of field exercises and web games on the field's progress. Overall, we note tremendous success by the biomolecular modeling community in utilization of computer power; improvement in force fields; and development and application of new algorithms, notably machine learning and artificial intelligence. The combined advances are enhancing the accuracy andscope of modeling and simulation, establishing an exemplary discipline where experiment and theory or simulations are full partners.

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