Evidence map›Paper›PMID 35174855›Full record

ReviewProtein engineering, design & selection : PEDS2022

The stability and dynamics of computationally designed proteins.

Natali A Gonzalez, Brigitte A Li, Michelle E McCully

Abstract readReview
In one paragraph

Review in Protein engineering, design & selection : PEDS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. EquilibraTor streamlines molecular dynamics simulations in a single execution.Computational and structural biotechnology journal · 2025
    Article
  6. Enhancement of the Thermostability ofMolecules (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Natali A GonzalezDepartment of Biology, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
Brigitte A LiDepartment of Biology, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
Michelle E McCullyDepartment of Biology, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.ORCID 0000-0002-9774-0608

Funding

The Balance Between Stability and Function in Naturally Occurring and Engineered ProteinsR15GM134439 · NIGMS · SANTA CLARA UNIVERSITY · PI MCCULLY, MICHELLE E · 2019 to 2022
$466k
NIGMS NIH HHS R15 GM134439
6 · The paper itself

Abstract

Protein stability, dynamics and function are intricately linked. Accordingly, protein designers leverage dynamics in their designs and gain insight to their successes and failures by analyzing their proteins' dynamics. Molecular dynamics (MD) simulations are a powerful computational tool for quantifying both local and global protein dynamics. This review highlights studies where MD simulations were applied to characterize the stability and dynamics of designed proteins and where dynamics were incorporated into computational protein design. First, we discuss the structural basis underlying the extreme stability and thermostability frequently observed in computationally designed proteins. Next, we discuss examples of designed proteins, where dynamics were not explicitly accounted for in the design process, whose coordinated motions or active site dynamics, as observed by MD simulation, enhanced or detracted from their function. Many protein functions depend on sizeable or subtle conformational changes, so we finally discuss the computational design of proteins to perform a specific function that requires consideration of motion by multi-state design.

Indexed as

Molecular Dynamics Simulationancestral sequence reconstructionconsensus designde novo protein designfold switchingmolecular dynamics

Identifiers

PMID35174855
PMCPMC9214642

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.