Evidence map›Paper›PMID 27298067›Full record

ArticleScientific reports2016

Energy Landscape Topography Reveals the Underlying Link Between Binding Specificity and Activity of Enzymes.

Wen-Ting Chu, Jin Wang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. GDEE: A Structure-Based Platform for Gene Discovery and Enzyme Engineering.Journal of chemical information and modeling · 2026
    Article
  2. An MD View of Ligand Binding.Molecules (Basel, Switzerland) · 2025
    Article
  3. Review
  4. Article
  5. Article
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  10. Protein dynamics: Conformational footprints.Nature chemical biology · 2016
    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

2 authors.

Wen-Ting ChuState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China.
Jin WangState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzyme activity (often quantified by kcat/Km) is the main function of enzyme when it is active against the specific substrate. Higher or lower activities are highly desired for the design of novel enzyme and drug resistance. However, it is difficult to measure the activities of all possible variants and find the "hot-spot" within the limit of experimental time. In this study, we explore the underlying energy landscape of enzyme-substrate interactions and introduce the intrinsic specificity ratio (ISR), which reflects the landscape topography. By studying two concrete systems, we uncover the statistical correlation between the intrinsic specificity and the enzyme activity kcat/Km. This physics-based concept and method show that the energy landscape topography is valuable for understanding the relationship between enzyme specificity and activity. In addition, it can reveal the underlying mechanism of enzyme-substrate actions and has potential applications on enzyme design.

Indexed as

CatalysisProtein BindingThermodynamicsBinding SitesCrystallography, X-RayEndorphinsEnzyme ActivationHumansKineticsPeptide FragmentsPhosphoprotein PhosphatasesSubstrate Specificitybeta-casomorphin 7EndorphinsPeptide FragmentsPhosphoprotein Phosphatases

Identifiers

PMID27298067
PMCPMC4906287

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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.