Evidence map›Paper›PMID 21678954›Full record

ReviewBiochemistry2011

Efficient incorporation of protein flexibility and dynamics into molecular docking simulations.

Markus A Lill

Open access · greenAbstract readReview
In one paragraph

Review in Biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
10.1field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 102 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Improved Prediction of Ligand-Protein Binding Affinities by Meta-modeling.Journal of chemical information and modeling · 2024
    Article
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  17. 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

1 author at 1 institution in 1 country.

Markus A LillDepartment of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, Indiana 47907, United States. mlill@purdue.edu
Purdue University West Lafayette · US

Funding

Novel Computational Methods for Modeling Cytochrome P450 Mediated Drug MetabolismR01GM092855 · NIGMS · PURDUE UNIVERSITY · PI LILL, MARKUS ALEXANDER · 2010 to 2014
$1.1M
Dynamic Scoring: A novel method for quantitative modeling of guest-host associatiR21GM085604 · NIGMS · PURDUE UNIVERSITY · PI LILL, MARKUS ALEXANDER · 2008 to 2009
$346k
NIGMS NIH HHS GM085604NIGMS NIH HHS GM092855NIGMS NIH HHS R01 GM092855NIGMS NIH HHS R21 GM085604
6 · The paper itself

Abstract

Flexibility and dynamics are protein characteristics that are essential for the process of molecular recognition. Conformational changes in the protein that are coupled to ligand binding are described by the biophysical models of induced fit and conformational selection. Different concepts that incorporate protein flexibility into protein-ligand docking within the context of these two models are reviewed. Several computational studies that discuss the validity and possible limitations of such approaches will be presented. Finally, different approaches that incorporate protein dynamics, e.g., configurational entropy, and solvation effects into docking will be highlighted.

Indexed as

Models, MolecularMolecular Dynamics SimulationAnimalsAvian ProteinsCharadriiformesCrystallography, X-RayEntropyLigandsNeuraminidaseProtein BindingProtein ConformationReceptors, G-Protein-CoupledViral ProteinsAvian ProteinsLigandsNA protein, influenza A virusNeuraminidaseReceptors, G-Protein-CoupledViral Proteins

Identifiers

PMID21678954
PMCPMC3172316
OpenAlexW2034483125

What OpenQuestion holds

Textmetadata
LicenceTDM
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.