Evidence map›Paper›PMID 37889566›Full record

ArticleProtein engineering, design & selection : PEDS2023

Analysis of conformational stability of interacting residues in protein binding interfaces.

Varun M Chauhan, Robert J Pantazes

Abstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Precision Labeling of Native Antibodies with Lock Coupling.Journal of the American Chemical Society · 2026
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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

2 authors.

Varun M ChauhanDepartment of Chemical Engineering, Auburn University, Auburn, AL 36849, USA.
Robert J PantazesDepartment of Chemical Engineering, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0002-0994-007X

Funding

The Development and Experimental Verification of Computational Methods to Design and Predict the Properties of Therapeutic ProteinsR35GM138220 · NIGMS · AUBURN UNIVERSITY AT AUBURN · PI PANTAZES, ROBERT J · 2020 to 2024
$1.7M
NIGMS NIH HHS R35 GM138220
6 · The paper itself

Abstract

After approximately 60 years of work, the protein folding problem has recently seen rapid advancement thanks to the inventions of AlphaFold and RoseTTAFold, which are machine-learning algorithms capable of reliably predicting protein structures from their sequences. A key component in their success was the inclusion of pairwise interaction information between residues. As research focus shifts towards developing algorithms to design and engineer binding proteins, it is likely that knowledge of interaction features at protein interfaces can improve predictions. Here, 574 protein complexes were analyzed to identify the stability features of their pairwise interactions, revealing that interactions between pre-stabilized residues are a selected feature in protein binding interfaces. In a retrospective analysis of 475 de novo designed binding proteins with an experimental success rate of 19%, inclusion of pairwise interaction pre-stabilization parameters increased the frequency of identifying experimentally successful binders to 40%.

Indexed as

AlgorithmsProteinsProtein BindingProtein ConformationRetrospective StudiesProteinsantibodiespairwise protein interaction stabilization

Identifiers

PMID37889566
PMCPMC10681001

What OpenQuestion holds

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Registered trials

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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.