Evidence map›Paper›PMID 17196978›Full record

ArticleJournal of molecular biology2007

High-resolution structural and thermodynamic analysis of extreme stabilization of human procarboxypeptidase by computational protein design.

Gautam Dantas, Colin Corrent, Steve L Reichow, James J Havranek, Ziad M Eletr, Nancy G Isern, Brian Kuhlman, Gabriele Varani, Ethan A Merritt, David Baker

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Journal of molecular biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

47 citing papers in PubMed, 90 citations in OpenAlex.

  1. Article
  2. Selection pressures on evolution of ribonuclease H explored with rigorous free-energy-based design.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. The stability and dynamics of computationally designed proteins.Protein engineering, design & selection : PEDS · 2022
    Review
  5. Article
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  8. Computer-aided design of amino acid-based therapeutics: a review.Drug design, development and therapy · 2018
    Review
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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

10 authors at 2 institutions in 1 country.

Gautam DantasDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Colin Corrent
Steve L Reichow
James J Havranek
Ziad M Eletr
Nancy G Isern
Brian Kuhlman
Gabriele Varani
Ethan A Merritt
David Baker
University of Washington · USUniversity of North Carolina at Chapel Hill · US

Funding

Specificity of mRNA 3'-end processing and transcription terminationR01GM064440 · NIGMS · UNIVERSITY OF WASHINGTON · PI VARANI, GABRIELE · 2002 to 2015
$4.5M
NIGMS NIH HHS R01 GM064440
6 · The paper itself

Abstract

Recent efforts to design de novo or redesign the sequence and structure of proteins using computational techniques have met with significant success. Most, if not all, of these computational methodologies attempt to model atomic-level interactions, and hence high-resolution structural characterization of the designed proteins is critical for evaluating the atomic-level accuracy of the underlying design force-fields. We previously used our computational protein design protocol RosettaDesign to completely redesign the sequence of the activation domain of human procarboxypeptidase A2. With 68% of the wild-type sequence changed, the designed protein, AYEdesign, is over 10 kcal/mol more stable than the wild-type protein. Here, we describe the high-resolution crystal structure and solution NMR structure of AYEdesign, which show that the experimentally determined backbone and side-chains conformations are effectively superimposable with the computational model at atomic resolution. To isolate the origins of the remarkable stabilization, we have designed and characterized a new series of procarboxypeptidase mutants that gain significant thermodynamic stability with a minimal number of mutations; one mutant gains more than 5 kcal/mol of stability over the wild-type protein with only four amino acid changes. We explore the relationship between force-field smoothing and conformational sampling by comparing the experimentally determined free energies of the overall design and these focused subsets of mutations to those predicted using modified force-fields, and both fixed and flexible backbone sampling protocols.

Indexed as

Computer SimulationCarboxypeptidases ACrystallizationCrystallography, X-RayHumansMagnetic Resonance SpectroscopyModels, MolecularProtein EngineeringProtein Structure, TertiaryStructure-Activity RelationshipThermodynamicsCarboxypeptidases A

Identifiers

PMID17196978
PMCPMC3764424
OpenAlexW2170580967

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.