Evidence map›Paper›PMID 25988173›Full record

ReviewFrontiers in molecular biosciences2015

On the energy components governing molecular recognition in the framework of continuum approaches.

Lin Li, Lin Wang, Emil Alexov

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. RSC advances · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Electrostatic features for nucleocapsid proteins of SARS-CoV and SARS-CoV-2.Mathematical biosciences and engineering : MBE · 2021
    Article
  7. Hybrid method for representing ions in implicit solvation calculations.Computational and structural biotechnology journal · 2021
    Article
  8. Article
  9. Article
  10. A computational model of ESAT-6 complex in membrane.Journal of theoretical & computational chemistry · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Modeling Electrostatic Force in Protein-Protein Recognition.Frontiers in molecular biosciences · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Lin LiComputational Biophysics and Bioinformatics, Department of Physics, Clemson University Clemson, SC, USA.
Lin WangComputational Biophysics and Bioinformatics, Department of Physics, Clemson University Clemson, SC, USA.
Emil AlexovComputational Biophysics and Bioinformatics, Department of Physics, Clemson University Clemson, SC, USA.

Funding

New Generation DelPhi: large systems and beyond electrostaticsR01GM093937 · NIGMS · CLEMSON UNIVERSITY · PI ALEXOV, EMIL GEORGIEV · 2010 to 2023
$4.3M
NIGMS NIH HHS R01 GM093937
6 · The paper itself

Abstract

Molecular recognition is a process that brings together several biological macromolecules to form a complex and one of the most important characteristics of the process is the binding free energy. Various approaches exist to model the binding free energy, provided the knowledge of the 3D structures of bound and unbound molecules. Among them, continuum approaches are quite appealing due to their computational efficiency while at the same time providing predictions with reasonable accuracy. Here we review recent developments in the field emphasizing on the importance of adopting adequate description of physical processes taking place upon the binding. In particular, we focus on the efforts aiming at capturing some of the atomistic details of the binding phenomena into the continuum framework. When possible, the energy components are reviewed independently of each other. However, it is pointed out that rigorous approaches should consider all energy contributions on the same footage. The two major schemes for utilizing the individual energy components to predict binding affinity are outlined as well.

Indexed as

binding energybinding free energyimplicit solvation energymolecular recognitionpH dependence

Identifiers

PMID25988173
PMCPMC4429657

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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.