Exploring cryo-electron microscopy with molecular dynamics

John W. Vant, Daipayan Sarkar, Jonathan Nguyen, Alexander T. Baker, Josh V. Vermaas, Abhishek Singharoy

Research output: Contribution to journalReview articlepeer-review

10 Scopus citations

Abstract

Single particle analysis cryo-electron microscopy (EM) and molecular dynamics (MD) have been complimentary methods since cryo-EM was first applied to the field of structural biology. The relationship started by biasing structural models to fit low-resolution cryo-EM maps of large macromolecular complexes not amenable to crystallization. The connection between cryo-EM and MD evolved as cryo-EM maps improved in resolution, allowing advanced sampling algorithms to simultaneously refine backbone and sidechains. Moving beyond a single static snapshot, modern inferencing approaches integrate cryo-EM and MD to generate structural ensembles from cryo-EM map data or directly from the particle images themselves. We summarize the recent history of MD innovations in the area of cryo-EM modeling. The merits for the myriad of MD based cryo-EM modeling methods are discussed, as well as, the discoveries that were made possible by the integration of molecular modeling with cryo-EM. Lastly, current challenges and potential opportunities are reviewed.

Original languageEnglish
Pages (from-to)569-581
Number of pages13
JournalBiochemical Society Transactions
Volume50
Issue number1
DOIs
StatePublished - Feb 2022
Externally publishedYes

Funding

supported by DOE BES (DE-FG02-91ER20021). AS acknowledges the support from start-up funds from the SMS and CASD at Arizona State University, as well as support from CAREER award by NSF-MCB 1942763. J.W.V. acknowledges the support from the National Science Foundation Graduate Research Fellowship under Grant no. 2020298734. D.S. and J.V.V. acknowledge support from the MSU-DOE Plant Research Laboratory, supported by DOE BES (DE-FG02-91ER20021). AS acknowledges the support from start-up funds from the SMS and CASD at Arizona State University, as well as support from CAREER award by NSF-MCB 1942763. J.W.V. acknowledges the support from the National Science Foundation Graduate Research Fellowship under Grant no. 2020298734. D.S. and J.V.V. acknowledge support from the MSU-DOE Plant Research Laboratory,

FundersFunder number
MSU-DOE
MSU-DOE Plant Research Laboratory
NSF-MCB1942763
National Science Foundation2020298734
Basic Energy SciencesDE-FG02-91ER20021
Arizona State University

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